Biomaterials Impact Factor
Biomaterials impact factor is 12.9 with a 5-year JIF of 13.4. See rank, quartile, Scopus metrics, and what this means for biomaterials authors.
Senior Scientist, Materials Science
Author context
Specializes in manuscript preparation for materials science and nanoscience journals, with experience targeting Advanced Materials, ACS Nano, Nano Letters, and Small.
Journal evaluation
Want the full journal picture?
See scope, selectivity, submission context, and what editors actually want before you decide whether the journal is realistic.
Quick answer: Biomaterials has a 2024 JCR impact factor of 12.9, a five-year JIF of 13.4, and a Q1 rank of 5/124 in Biomaterials. The number signals a genuinely elite specialty venue, but the conversion-relevant question for authors is simpler: does the paper tell a real biomaterials story, or is it mostly material characterization with biology attached late?
Biomaterials impact factor at a glance
Metric | Value |
|---|---|
Impact Factor | 12.9 |
5-Year JIF | 13.4 |
JIF Without Self-Cites | 12.6 |
JCI | 2.37 |
Quartile | Q1 |
Category Rank | 5/124 |
Percentile | 96th |
Total Cites | 107,874 |
Citable Items | 477 |
Total Articles (2024) | 473 |
Cited Half-Life | 9.0 years |
Scimago SJR 2024 | 2.998 |
Scopus Impact Score 2024 | 13.17 |
h-index | 451 |
Publisher | Elsevier |
ISSN | 0142-9612 / 1878-5905 |
Biomaterials currently sits in the top 4% of its category by JIF.
What 12.9 actually tells you
This is a strong number in a field where citation density is already healthy. The five-year JIF of 13.4 running above the two-year JIF suggests something important: Biomaterials papers often stay relevant after the short citation window that dominates more trend-driven materials publishing.
The cited half-life of 9.0 years supports that interpretation. Papers in this journal frequently keep mattering because they become reference points for interface mechanisms, scaffold logic, biomaterial design choices, implant performance, and translational benchmarks.
The JIF without self-cites is 12.6, almost unchanged from the headline JIF. That tells you the journal's citation performance is not depending on aggressive internal citation behavior.
Why Biomaterials still filters harder than many authors expect
The common misunderstanding is that a strong material plus a little biology should be enough. It usually is not.
Biomaterials does not reward papers simply because they involve cells, tissue, or an implant context. It rewards manuscripts where:
- the material design is central
- the biological mechanism is legible
- the evidence chain supports the application claim
That is why the journal's citation performance remains strong. It publishes papers that other authors keep returning to when they need a real biomaterials precedent, not just a clever materials result with biomedical framing.
Biomaterials impact factor trend
The current JCR row is the authoritative impact factor on this page. For the longer directional picture, the table below uses the open Scopus-based impact score series as a trend proxy.
Year | Scopus impact score |
|---|---|
2014 | 9.49 |
2015 | 9.45 |
2016 | 9.09 |
2017 | 9.34 |
2018 | 10.80 |
2019 | 10.77 |
2020 | 11.86 |
2021 | 14.41 |
2022 | 13.74 |
2023 | 13.06 |
2024 | 13.17 |
The open citation line is up from 9.49 in 2014 to 13.17 in 2024, and it ticked up from 13.06 in 2023 to 13.17 in 2024 after a modest normalization from the 2021 peak. That is a healthy signal for a mature specialty journal. It suggests the journal is not living off old prestige alone. It is still publishing papers that the field actively reuses.
The line also helps explain why the journal stays commercially important for Manusights. Authors aiming here are rarely looking for a soft landing. They are usually trying to place a serious biomaterials manuscript and need fit guidance before they lose months at triage.
How Biomaterials compares with nearby choices
Journal | Best fit | When it beats Biomaterials | When Biomaterials is stronger |
|---|---|---|---|
Biomaterials | Full biomaterials stories with strong biology | When material design, biology, and application claim all need to travel together | When the paper needs a true flagship specialty biomaterials audience |
Advanced Materials | Broader materials consequence | When the novelty is fundamentally materials-led rather than biointerface-led | When the biology and translational evidence are central to the contribution |
Small | Smaller-scale materials and nano applications | When the work is more nano- or device-oriented than biomaterials-specific | When the biological mechanism and biomaterials identity are stronger than the platform angle |
Journal of Materials Chemistry A | Functional materials with application logic | When the main audience is materials chemists rather than biomaterials readers | When the manuscript's center of gravity is biological interface and validation |
This table is the real decision frame. Biomaterials is not simply "higher" or "lower" than nearby materials titles. It is a different editorial ask.
In our pre-submission review work
In our pre-submission review work on manuscripts targeting Biomaterials, the common problem is not weak materials science. It is the gap between the application language and the biological evidence. Editors explicitly screen for whether the biological package is strong enough to justify the translational framing.
SciRev community reports reinforce the practical point: once the manuscript goes out, the review can be serious and slow. That makes it worth fixing the evidence chain before submission rather than after a long review cycle.
What pre-submission reviews reveal about Biomaterials submissions
Three failure patterns show up repeatedly before submission.
The biology is too thin for the claim. Strong characterization plus one viability assay or a single microscopy panel is not usually enough to carry a translational or interface-performance claim here.
The paper reports better outcomes without a mechanistic bridge. Editors want to see why the material causes the biological effect, not just that the effect exists.
The comparator is too weak. Many borderline submissions test a new material against no serious benchmark, which makes the performance claim hard to trust.
If that describes the draft, a Biomaterials submission readiness check is usually more informative than polishing the abstract again.
How to use this number in journal selection
The impact factor is useful for placing Biomaterials correctly in the materials and biointerface market. It tells you the journal is one of the field's real authority venues, not a broad downstream materials title.
But the number becomes misleading if you use it to rationalize a mismatch. If the manuscript is fundamentally a materials paper with a modest biological validation layer, a high JIF does not make Biomaterials the right strategic call. It usually just makes the rejection more expensive in time.
Use the metric to judge tier. Use the evidence chain to judge fit.
What the impact factor does not tell you
It does not tell you:
- whether the validation model is strong enough for the claimed application
- whether the biological evidence is proportionate to the translational language
- whether the material-biology connection is mechanistic or merely descriptive
- whether Acta Biomaterialia, Bioactive Materials, or a broader materials venue is the cleaner fit
Those are the real reasons papers get desk-rejected.
Submit if / Think twice if
Submit if:
- the manuscript links material design to biological mechanism or meaningful performance
- the application claim matches the level of validation actually shown
- the benchmark or comparator is credible
- the biology is strong enough that the paper reads like a real biomaterials manuscript
Think twice if:
- the biological evidence is mostly token-level validation
- the material result is real, but the translational claim outruns the model
- the mechanism connecting material properties to biological outcome is missing
- the manuscript is better described as materials science with a biomedical application layer
Bottom line
Biomaterials has an impact factor of 12.9 and a five-year JIF of 13.4. That current profile is exactly what you would expect from a journal that publishes durable, field-defining specialty papers. But the metric will not save a manuscript that lacks a real biomaterials evidence chain.
If the biology is light, the number is flattering the target more than the editor will.
Frequently asked questions
Biomaterials has a 2024 JCR impact factor of 12.9, with a five-year JIF of 13.4. It is Q1 and ranks 5th out of 124 journals in the Biomaterials category.
Yes. The current JCR row places it near the top of the field, and its citation profile is backed by a very large archive, high total-citation volume, and a long cited half-life.
It measures how frequently recent papers are cited. For Biomaterials, the number also reflects that the journal publishes durable papers on biointerfaces, scaffolds, implants, delivery systems, and translational material performance.
No. The more important fit question is whether your manuscript really links material design to biological mechanism or meaningful biological performance. Characterization plus token biology is the recurring mismatch.
Because papers in the journal often remain useful as reference points for interface mechanisms, biomaterial platforms, and translational evidence chains for years after publication.
Sources
- Clarivate Journal Citation Reports (JCR 2024 data used for the page)
- Biomaterials homepage
- Biomaterials guide for authors
- SCImago Journal Rank: Biomaterials
Reference library
Use the core publishing datasets alongside this guide
This article answers one part of the publishing decision. The reference library covers the recurring questions that usually come next: whether the package is ready, what drives desk rejection, how journals compare, and what the submission requirements look like across journals.
Checklist system / operational asset
Elite Submission Checklist
A flagship pre-submission checklist that turns journal-fit, desk-reject, and package-quality lessons into one operational final-pass audit.
Flagship report / decision support
Desk Rejection Report
A canonical desk-rejection report that organizes the most common editorial failure modes, what they look like, and how to prevent them.
Dataset / reference hub
Journal Intelligence Dataset
A canonical journal dataset that combines selectivity posture, review timing, submission requirements, and Manusights fit signals in one citeable reference asset.
Dataset / reference guide
Peer Review Timelines by Journal
Reference-grade journal timeline data that authors, labs, and writing centers can cite when discussing realistic review timing.
Before you upload
Want the full journal picture?
Scope, selectivity, what editors want, common rejection reasons, and submission context, all in one place.
These pages attract evaluation intent more than upload-ready intent.
Anthropic Privacy Partner. Zero-retention manuscript processing.
Where to go next
Same journal, next question
Supporting reads
Want the full journal picture?
These pages attract evaluation intent more than upload-ready intent.