James F. Martin

29.7k total citations · 7 hit papers
267 papers, 21.8k citations indexed

About

James F. Martin is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, James F. Martin has authored 267 papers receiving a total of 21.8k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Molecular Biology, 44 papers in Cell Biology and 37 papers in Surgery. Recurrent topics in James F. Martin's work include Congenital heart defects research (80 papers), Developmental Biology and Gene Regulation (38 papers) and Hippo pathway signaling and YAP/TAZ (35 papers). James F. Martin is often cited by papers focused on Congenital heart defects research (80 papers), Developmental Biology and Gene Regulation (38 papers) and Hippo pathway signaling and YAP/TAZ (35 papers). James F. Martin collaborates with scholars based in United States, China and United Kingdom. James F. Martin's co-authors include Eric N. Olson, Todd R. Heallen, Benoît De Crombrugghe, Randy L. Johnson, Brian L. Black, Min Zhang, Haruhiko Akiyama, Marie‐Christine Chaboissier, Andreas Schedl and Mei-Fang Lu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

James F. Martin

261 papers receiving 21.5k citations

Hit Papers

The transcription factor Sox9 has essential roles in succ... 1995 2026 2005 2015 2002 2011 2002 1995 2017 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James F. Martin United States 80 15.8k 3.5k 3.1k 3.1k 3.0k 267 21.8k
Nadia Rosenthal United States 74 13.5k 0.9× 2.1k 0.6× 3.5k 1.1× 3.7k 1.2× 2.0k 0.7× 239 20.7k
Thomas Braun Germany 82 21.9k 1.4× 3.1k 0.9× 4.1k 1.3× 3.1k 1.0× 2.2k 0.7× 483 31.1k
Shin’ichi Takeda Japan 70 12.6k 0.8× 2.3k 0.7× 3.4k 1.1× 2.0k 0.7× 1.7k 0.6× 427 17.5k
Jonathan A. Epstein United States 92 17.1k 1.1× 3.1k 0.9× 3.7k 1.2× 2.1k 0.7× 2.5k 0.8× 263 23.9k
Margaret Buckingham France 83 21.7k 1.4× 3.6k 1.0× 4.2k 1.3× 2.9k 1.0× 1.8k 0.6× 201 24.1k
Simon J. Conway United States 75 10.5k 0.7× 1.6k 0.5× 3.2k 1.0× 4.2k 1.4× 1.9k 0.6× 215 22.7k
Amy J. Wagers United States 75 15.9k 1.0× 2.4k 0.7× 5.0k 1.6× 1.3k 0.4× 1.9k 0.6× 172 30.8k
Thomas Doetschman United States 63 13.8k 0.9× 3.3k 0.9× 2.4k 0.8× 2.9k 1.0× 1.3k 0.4× 134 19.5k
Andrew B. Lassar United States 59 19.6k 1.2× 3.8k 1.1× 2.5k 0.8× 1.4k 0.4× 1.7k 0.6× 88 22.9k
Juan Carlos Izpisúa Belmonte United States 93 22.9k 1.5× 4.0k 1.1× 3.4k 1.1× 786 0.3× 2.1k 0.7× 358 28.2k

Countries citing papers authored by James F. Martin

Since Specialization
Citations

This map shows the geographic impact of James F. Martin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James F. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James F. Martin more than expected).

Fields of papers citing papers by James F. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James F. Martin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James F. Martin. The network helps show where James F. Martin may publish in the future.

Co-authorship network of co-authors of James F. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of James F. Martin. A scholar is included among the top collaborators of James F. Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James F. Martin. James F. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Turaga, Diwakar, et al.. (2025). Fibroblasts Are the Primary Contributors to a Disrupted Micro-Environment in End-Stage Pediatric Hypertrophic Cardiomyopathy. Circulation Genomic and Precision Medicine. 18(6). e005192–e005192.
2.
Li, Gang, Fansen Meng, & James F. Martin. (2025). Targeting the Hippo Pathway for Cardiac Regeneration. Physiology. 40(6). 502–508.
3.
Scavuzzo, Marissa A., Wojciech J. Szlachcic, Matthew C. Hill, et al.. (2025). Pancreatic organogenesis mapped through space and time. Experimental & Molecular Medicine. 57(1). 204–220. 2 indexed citations
4.
Yuan, Yue, Xiaohong Chen, Luge Li, et al.. (2025). Atrial cardiomyocyte-restricted cleavage of gasdermin D promotes atrial arrhythmogenesis. European Heart Journal. 46(13). 1250–1262. 7 indexed citations
5.
Deshmukh, Vaibhav & James F. Martin. (2024). SETD3 is a mechanosensitive enzyme that methylates actin on His73 to regulate mitochondrial dynamics and function. Journal of Cell Science. 137(14). 4 indexed citations
6.
Steimle, Jeffrey D. & James F. Martin. (2023). Sweet and sour story of maternal diabetes and birth defects. Nature Cardiovascular Research. 2(12). 1107–1108. 1 indexed citations
8.
Steimle, Jeffrey D., et al.. (2022). Decoding the PITX2-controlled genetic network in atrial fibrillation. JCI Insight. 7(11). 10 indexed citations
9.
Gnedeva, Ksenia, Xizi Wang, M. Kathryn Barton, et al.. (2020). Organ of Corti size is governed by Yap/Tead-mediated progenitor self-renewal. Proceedings of the National Academy of Sciences. 117(24). 13552–13561. 36 indexed citations
10.
11.
Scavuzzo, Marissa A., Matthew C. Hill, Jolanta Chmielowiec, et al.. (2018). Endocrine lineage biases arise in temporally distinct endocrine progenitors during pancreatic morphogenesis. Nature Communications. 9(1). 3356–3356. 64 indexed citations
12.
Sun, Zhao, Nathan E. Holton, Mason Sweat, et al.. (2018). FoxO6 regulates Hippo signaling and growth of the craniofacial complex. PLoS Genetics. 14(10). e1007675–e1007675. 28 indexed citations
14.
Song, Shumei, Jaffer A. Ajani, Soichiro Honjo, et al.. (2014). Hippo Coactivator YAP1 Upregulates SOX9 and Endows Esophageal Cancer Cells with Stem-like Properties. Cancer Research. 74(15). 4170–4182. 211 indexed citations
15.
Wang, Shang, Andrew L. Lopez, Yuka Morikawa, et al.. (2014). Noncontact quantitative biomechanical characterization of cardiac muscle using shear wave imaging optical coherence tomography. Biomedical Optics Express. 5(7). 1980–1980. 74 indexed citations
16.
Bai, Yan, Elzbieta Klysik, Wei Yu, et al.. (2013). Correction: MicroRNA-17-92, a Direct Ap-2α Transcriptional Target, Modulates T-Box Factor Activity in Orofacial Clefting. PLoS Genetics. 9(12). 17 indexed citations
17.
Bénazet, Jean-Denis, Mirko Bischofberger, Eva Tiecke, et al.. (2009). A Self-Regulatory System of Interlinked Signaling Feedback Loops Controls Mouse Limb Patterning. Science. 323(5917). 1050–1053. 156 indexed citations
18.
Ihida‐Stansbury, Kaori, David McKean, Sarah A. Gebb, et al.. (2004). Paired-Related Homeobox Gene Prx1 Is Required for Pulmonary Vascular Development. Circulation Research. 94(11). 1507–1514. 63 indexed citations
19.
Parmacek, Michael S., Hon S. Ip, Frank Jung, et al.. (1994). A Novel Myogenic Regulatory Circuit Controls Slow/Cardiac Troponin C Gene Transcription in Skeletal Muscle. Molecular and Cellular Biology. 14(3). 1870–1885. 26 indexed citations
20.
Martin, James F., et al.. (1986). A new cardiovascular model for real-time applications. 3(1). 31–65. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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