Thomas L. Lynch

717 total citations
17 papers, 483 citations indexed

About

Thomas L. Lynch is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Thomas L. Lynch has authored 17 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Thomas L. Lynch's work include Cardiomyopathy and Myosin Studies (9 papers), Viral Infections and Immunology Research (5 papers) and Cardiovascular Effects of Exercise (5 papers). Thomas L. Lynch is often cited by papers focused on Cardiomyopathy and Myosin Studies (9 papers), Viral Infections and Immunology Research (5 papers) and Cardiovascular Effects of Exercise (5 papers). Thomas L. Lynch collaborates with scholars based in United States, Netherlands and Germany. Thomas L. Lynch's co-authors include Sakthivel Sadayappan, Michael J. Zilliox, Gina Kuffel, Lauren Haar, W. Keith Jones, Kristin Luther, Xiaoping Ren, Yang Wang, George Gardner and Anh Tuân Phan and has published in prestigious journals such as The FASEB Journal, Science Translational Medicine and Cardiovascular Research.

In The Last Decade

Thomas L. Lynch

17 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas L. Lynch United States 10 299 282 102 56 28 17 483
Marina López‐Olañeta Spain 10 275 0.9× 218 0.8× 46 0.5× 73 1.3× 9 0.3× 19 461
Mary Sweet United States 7 289 1.0× 289 1.0× 30 0.3× 35 0.6× 18 0.6× 8 528
Isaac Rosa Spain 14 288 1.0× 147 0.5× 91 0.9× 27 0.5× 9 0.3× 20 556
Javier Moncayo Spain 8 204 0.7× 137 0.5× 88 0.9× 25 0.4× 9 0.3× 13 317
Katharina Klett Germany 5 179 0.6× 118 0.4× 61 0.6× 83 1.5× 8 0.3× 7 305
Yuanjun Guo United States 6 282 0.9× 237 0.8× 49 0.5× 96 1.7× 8 0.3× 6 448
Rita Carvalho Portugal 7 236 0.8× 69 0.2× 122 1.2× 43 0.8× 13 0.5× 10 317
Nicholas T. Lam United States 8 303 1.0× 180 0.6× 34 0.3× 165 2.9× 18 0.6× 11 415
Xinji Guo United States 9 242 0.8× 113 0.4× 34 0.3× 43 0.8× 32 1.1× 13 386
Wenbin Fu China 11 360 1.2× 172 0.6× 51 0.5× 137 2.4× 7 0.3× 15 505

Countries citing papers authored by Thomas L. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas L. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas L. Lynch. A scholar is included among the top collaborators of Thomas L. Lynch 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 Thomas L. Lynch. Thomas L. Lynch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Lynch, Thomas L., Violeta L. Marin, Ryan A. McClure, et al.. (2024). Quantitative Measurement of Rate of Targeted Protein Degradation. ACS Chemical Biology. 19(7). 1604–1615. 5 indexed citations
2.
Freiberger, Elyse C., Michael P. Thompson, Xiaomei Zhang, et al.. (2024). Utility of Common In Vitro Systems for Predicting Circulating Metabolites. Drug Metabolism and Disposition. 52(12). 1373–1378. 3 indexed citations
3.
Barefield, David Y., James W. McNamara, Thomas L. Lynch, et al.. (2019). Ablation of the calpain-targeted site in cardiac myosin binding protein-C is cardioprotective during ischemia-reperfusion injury. Journal of Molecular and Cellular Cardiology. 129. 236–246. 20 indexed citations
4.
Kuster, Diederik W.D., Thomas L. Lynch, David Y. Barefield, et al.. (2019). Altered C10 domain in cardiac myosin binding protein-C results in hypertrophic cardiomyopathy. Cardiovascular Research. 115(14). 1986–1997. 20 indexed citations
5.
Toepfer, Christopher N., Hiroko Wakimoto, Amanda C. Garfinkel, et al.. (2019). Hypertrophic cardiomyopathy mutations in MYBPC3 dysregulate myosin. Science Translational Medicine. 11(476). 138 indexed citations
6.
Phan, Anh Tuân, Thomas L. Lynch, Michael McGuinness, & W. Keith Jones. (2019). MiR‐486a‐5p Exerts Cardioprotection Against Ischemia Repefusion via Suppression of PDCD4. The FASEB Journal. 33(S1). 1 indexed citations
7.
Luther, Kristin, Lauren Haar, Yang Wang, et al.. (2018). Exosomal miR-21a-5p mediates cardioprotection by mesenchymal stem cells. Journal of Molecular and Cellular Cardiology. 119. 125–137. 164 indexed citations
8.
Lynch, Thomas L., Diederik W.D. Kuster, Beverly González, et al.. (2017). Cardiac Myosin Binding Protein-C Autoantibodies Are Potential Early Indicators of Cardiac Dysfunction and Patient Outcome in Acute Coronary Syndrome. JACC Basic to Translational Science. 2(2). 122–131. 1 indexed citations
9.
Lynch, Thomas L., Mohamed Ameen Ismahil, Anil G. Jegga, et al.. (2016). Cardiac inflammation in genetic dilated cardiomyopathy caused by MYBPC3 mutation. Journal of Molecular and Cellular Cardiology. 102. 83–93. 35 indexed citations
10.
Barefield, David Y., et al.. (2016). High-Throughput Diagnostic Assay for a Highly Prevalent Cardiomyopathy-Associated MYBPC3 Variant. Journal of Molecular Biomarkers & Diagnosis. 7(6). 2 indexed citations
11.
Lipps, Christoph, Thomas L. Lynch, Christoph Liebetrau, et al.. (2016). N-terminal fragment of cardiac myosin binding protein-C triggers pro-inflammatory responses in vitro. Journal of Molecular and Cellular Cardiology. 99. 47–56. 17 indexed citations
12.
Taylor, Erik N., Matthew P. Hoffman, David Y. Barefield, et al.. (2016). Alterations in Multi‐Scale Cardiac Architecture in Association With Phosphorylation of Myosin Binding Protein‐C. Journal of the American Heart Association. 5(3). e002836–e002836. 16 indexed citations
13.
Lynch, Thomas L., Mayandi Sivaguru, V. Murugesan, et al.. (2015). Oxidative Stress in Dilated Cardiomyopathy Caused byMYBPC3Mutation. Oxidative Medicine and Cellular Longevity. 2015. 1–14. 35 indexed citations
14.
Lynch, Thomas L. & Sakthivel Sadayappan. (2014). Surviving the infarct: A profile of cardiac myosin binding protein‐C pathogenicity, diagnostic utility, and proteomics in the ischemic myocardium. PROTEOMICS - CLINICAL APPLICATIONS. 8(7-8). 569–577. 12 indexed citations
15.
Govindan, Suresh, Younss Aït Mou, Thomas L. Lynch, Pieter P. de Tombe, & Sakthivel Sadayappan. (2014). Protein kinase C‐site phosphorylation of cardiac myosin binding protein‐C decreases cross‐bridge kinetics (1081.5). The FASEB Journal. 28(S1). 2 indexed citations
16.
Sewry, Caroline A., Nguyen thi Man, Thomas L. Lynch, & Glenn E. Morris. (2001). Absence of Utrophin in Intercalated Discs of Human Cardiac Muscle. The Histochemical Journal. 33(1). 9–12. 3 indexed citations
17.
Warner, Robert A., Norma E. Hill, & Thomas L. Lynch. (1988). Usefulness of abnormalities of repolarization in the electrocardiographic diagnosis of healed myocardial infarction. Journal of Electrocardiology. 21. S93–S97. 9 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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