Evidence map›Paper›PMID 42223220›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Engineering Strain-Stiffening Granular Hydrogels for 3D-Printed Tissue-Mimicry.

Hyeokju Chae, Joohwan Han, Jeong-Wook Seo, Taehoon Lee, Kihyeon Bae, Yeontaek Lee, Dong Soo Kim, Ikjin Kim, Jin-Oh Kim, Steve Park

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hyeokju ChaeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0003-5595-9294
Joohwan HanDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0006-4751-2750
Jeong-Wook SeoDeptartment of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-0242-1805
Taehoon LeeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Kihyeon BaeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Yeontaek LeeCorporate Research Laboratory, Lynk Solutec Inc, Seoul, Republic of Korea.
Dong Soo KimSchool of Mechanical Engineering, Korea Materials Research Center for Interfacial Molecular Bonding Technology, Yeungnam University, Gyeongsan, Gyeongbuk, Republic of Korea.
Ikjin KimCorporate Research Laboratory, Aldaver Inc, Daejeon, Republic of Korea.
Jin-Oh KimCorporate Research Laboratory, Aldaver Inc, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-3322-7100
Steve ParkDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-1428-592X

Funding

Ministry of Science and ICTNational Research Foundation of Korea RS-2024-00420452National Research Foundation of Korea RS-2025-02303658
6 · The paper itself

Abstract

Biological tissues exhibit nonlinear strain-stiffening behavior with distinct toe (E

Indexed as

Biomimetic MaterialsHydrogelsPrinting, Three-DimensionalTissue EngineeringAnimalsAortic ValveStress, MechanicalHydrogelshigh‐fidelity 3D printingmechanically tissue mimicryregion‐specific tuning (toe and heel moduli)strain‐stiffening granular hydrogels

Identifiers

PMID42223220
PMCPMC13327215

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.