Brian L. Lin

994 total citations
29 papers, 446 citations indexed

About

Brian L. Lin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Brian L. Lin has authored 29 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in Brian L. Lin's work include Muscle Physiology and Disorders (10 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). Brian L. Lin is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). Brian L. Lin collaborates with scholars based in United States, Australia and Japan. Brian L. Lin's co-authors include Sakthivel Sadayappan, Matthew Miyamoto, Chulan Kwon, David A. Kass, Suraj Kannan, Taejeong Song, Roger Craig, Emmanouil Tampakakis, Sean Murphy and Suresh Govindan and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Brian L. Lin

26 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian L. Lin United States 15 300 161 58 47 43 29 446
Bryana M. Levitan United States 12 193 0.6× 119 0.7× 55 0.9× 28 0.6× 57 1.3× 22 344
Taejeong Song United States 14 362 1.2× 123 0.8× 65 1.1× 56 1.2× 102 2.4× 24 477
Tetsuaki Miyake Canada 15 394 1.3× 82 0.5× 36 0.6× 36 0.8× 58 1.3× 24 519
Ivana Dabaj France 11 256 0.9× 49 0.3× 59 1.0× 33 0.7× 42 1.0× 27 386
Yoshihiro Ujihara Japan 11 264 0.9× 95 0.6× 38 0.7× 31 0.7× 43 1.0× 48 510
Florian Barthélémy United States 11 356 1.2× 60 0.4× 44 0.8× 98 2.1× 48 1.1× 24 447
Benjamin D. Canan United States 15 559 1.9× 255 1.6× 60 1.0× 89 1.9× 101 2.3× 30 812
Jere Paavola Finland 12 496 1.7× 249 1.5× 90 1.6× 80 1.7× 30 0.7× 19 636
Raquel Vaz Sweden 10 211 0.7× 78 0.5× 36 0.6× 41 0.9× 23 0.5× 21 392
Guillaume Gilbert Belgium 16 372 1.2× 291 1.8× 113 1.9× 37 0.8× 146 3.4× 29 705

Countries citing papers authored by Brian L. Lin

Since Specialization
Citations

This map shows the geographic impact of Brian L. Lin'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 Brian L. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian L. Lin more than expected).

Fields of papers citing papers by Brian L. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian L. Lin. 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 Brian L. Lin. The network helps show where Brian L. Lin may publish in the future.

Co-authorship network of co-authors of Brian L. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Brian L. Lin. A scholar is included among the top collaborators of Brian L. Lin 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 Brian L. Lin. Brian L. Lin 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.
Cohen, Charles D., et al.. (2025). GSNOR deletion differentially alters age-related cardiac function in a sex-dependent manner. American Journal of Physiology-Heart and Circulatory Physiology. 330(1). H253–H264.
2.
Wang, Nadan, et al.. (2025). Gestational arsenite exposure alters maternal postpartum heart size and induces Ca 2+ -handling dysregulation in cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 328(3). H460–H471. 1 indexed citations
3.
Lee, Young Il, Jun Xie, Guangping Gao, et al.. (2024). Potential limitations of microdystrophin gene therapy for Duchenne muscular dystrophy. JCI Insight. 9(11). 17 indexed citations
4.
Arvanitis, Marios, Sean Murphy, Navid Koleini, et al.. (2024). A transcriptional enhancer regulates cardiac maturation. Nature Cardiovascular Research. 3(6). 666–684. 3 indexed citations
5.
Lek, Angela, Evrim Atas, Brian L. Lin, et al.. (2024). Meeting Report: 2023 Muscular Dystrophy Association Summit on ‘Safety and Challenges in Gene Therapy of Neuromuscular Diseases’. Journal of Neuromuscular Diseases. 11(5). 1139–1160. 1 indexed citations
6.
Diny, Nicola Laura, Taejoon Won, Monica V. Talor, et al.. (2023). Hypereosinophilia causes progressive cardiac pathologies in mice. iScience. 26(10). 107990–107990. 4 indexed citations
7.
Boyer, Justin G., Jiuzhou Huo, Vikram Prasad, et al.. (2022). Depletion of skeletal muscle satellite cells attenuates pathology in muscular dystrophy. Nature Communications. 13(1). 2940–2940. 27 indexed citations
8.
Lin, Brian L., Joseph Shin, Nadan Wang, et al.. (2022). Pharmacological TRPC6 inhibition improves survival and muscle function in mice with Duchenne muscular dystrophy. JCI Insight. 7(19). 15 indexed citations
9.
Tampakakis, Emmanouil, Stephanie Glavaris, Sean Murphy, et al.. (2021). Heart neurons use clock genes to control myocyte proliferation. Science Advances. 7(49). eabh4181–eabh4181. 22 indexed citations
10.
Verma, Rohan, Suraj Kannan, Brian L. Lin, et al.. (2021). Single cell RNA-seq analysis of the flexor digitorum brevis mouse myofibers. Skeletal Muscle. 11(1). 13–13. 2 indexed citations
11.
Chan, Xin Yi, Jihyun Song, Jing Wang, et al.. (2021). HIF2A gain-of-function mutation modulates the stiffness of smooth muscle cells and compromises vascular mechanics. iScience. 24(4). 102246–102246. 19 indexed citations
12.
Kannan, Suraj, et al.. (2021). Transcriptomic entropy benchmarks stem cell-derived cardiomyocyte maturation against endogenous tissue at single cell level. PLoS Computational Biology. 17(9). e1009305–e1009305. 34 indexed citations
13.
Murphy, Sean, Matthew Miyamoto, Anaïs Kervadec, et al.. (2021). PGC1/PPAR drive cardiomyocyte maturation at single cell level via YAP1 and SF3B2. Nature Communications. 12(1). 1648–1648. 58 indexed citations
14.
Lin, Brian L., Amy Li, Ji Young Mun, et al.. (2018). Skeletal myosin binding protein-C isoforms regulate thin filament activity in a Ca2+-dependent manner. Scientific Reports. 8(1). 2604–2604. 34 indexed citations
15.
Lin, Brian L., Taejeong Song, & Sakthivel Sadayappan. (2017). Myofilaments: Movers and Rulers of the Sarcomere. Comprehensive physiology. 7(2). 675–692. 1 indexed citations
16.
Lin, Brian L., et al.. (2017). Calcium-Dependent Interaction Occurs between Slow Skeletal Myosin Binding Protein C and Calmodulin. Magnetochemistry. 4(1). 1–1. 9 indexed citations
17.
Sivaguru, Mayandi, Glenn Fried, Xiaochen Lu, et al.. (2015). Cardiac Muscle Organization Revealed in 3-D by Imaging Whole-Mount Mouse Hearts using Two-Photon Fluorescence and Confocal Microscopy. BioTechniques. 59(5). 295–308. 18 indexed citations
18.
Lin, Brian L., Suresh Govindan, Kyoung Hwan Lee, et al.. (2013). Cardiac Myosin Binding Protein-C Plays No Regulatory Role in Skeletal Muscle Structure and Function. PLoS ONE. 8(7). e69671–e69671. 30 indexed citations
19.
Gao, Xianlong, Brian L. Lin, Sakthivel Sadayappan, & Tarun B. Patel. (2013). Interactions between the Regulatory Subunit of Type I Protein Kinase A and p90 Ribosomal S6 Kinase1 Regulate Cardiomyocyte Apoptosis. Molecular Pharmacology. 85(2). 357–367. 7 indexed citations
20.
Lin, Brian L., Robert L. Norris, & Paul S. Auerbach. (2008). A Case of Elevated Liver Function Tests After Crown-of-Thorns (Acanthaster planci) Envenomation. Wilderness and Environmental Medicine. 19(4). 275–275. 8 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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