Thomas Quertermous

62.5k total citations · 4 hit papers
303 papers, 17.2k citations indexed

About

Thomas Quertermous is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Thomas Quertermous has authored 303 papers receiving a total of 17.2k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Molecular Biology, 67 papers in Cardiology and Cardiovascular Medicine and 58 papers in Genetics. Recurrent topics in Thomas Quertermous's work include Genetic Associations and Epidemiology (39 papers), Apelin-related biomedical research (30 papers) and Congenital heart defects research (30 papers). Thomas Quertermous is often cited by papers focused on Genetic Associations and Epidemiology (39 papers), Apelin-related biomedical research (30 papers) and Congenital heart defects research (30 papers). Thomas Quertermous collaborates with scholars based in United States, Taiwan and Japan. Thomas Quertermous's co-authors include Kenneth D. Bloch, Ramendra K. Kundu, Philip S. Tsao, Ken‐ichi Hirata, Nicholas J. Leeper, Tatsuro Ishida, Euan A. Ashley, Yoko Kojima, Donald B. Bloch and Stefan Janssens and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas Quertermous

298 papers receiving 16.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A long noncoding RNA protects the heart from pathological hypertrophy

2014 572 citations Pei Han, Jin Yang et al. profile →
Cloning and expression of a cDNA encoding human endothelium-derived relaxing factor/nitric oxide synthase.

1992 517 citations Thomas Quertermous, Kenneth D. Bloch et al. Journal of Biological Chemistry profile →
Opportunities and challenges for transcriptome-wide association studies

2019 506 citations David A. Knowles, Thomas Quertermous et al. profile →
CD47-blocking antibodies restore phagocytosis and prevent atherosclerosis

2016 500 citations Yoko Kojima, Clint L. Miller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Quertermous United States	71	6.9k	3.6k	3.3k	2.8k	2.6k	303	17.2k
Gary K. Owens United States	88	15.2k 2.2×	4.3k 1.2×	3.7k 1.1×	2.5k 0.9×	4.6k 1.8×	227	26.6k
Shaun R. Coughlin United States	88	10.5k 1.5×	4.4k 1.2×	2.5k 0.8×	1.6k 0.6×	4.5k 1.7×	181	30.8k
Morley D. Hollenberg Canada	78	6.9k 1.0×	1.4k 0.4×	2.0k 0.6×	2.8k 1.0×	3.3k 1.2×	425	20.8k
Edward T.H. Yeh United States	76	11.2k 1.6×	5.6k 1.6×	2.0k 0.6×	1.6k 0.6×	3.0k 1.1×	195	22.1k
Min Lü United States	81	13.2k 1.9×	1.7k 0.5×	4.2k 1.3×	2.1k 0.8×	2.1k 0.8×	227	21.4k
Michael Schneider United States	79	15.0k 2.2×	5.8k 1.6×	4.0k 1.2×	1.8k 0.7×	1.8k 0.7×	233	22.5k
Anthony Rosenzweig United States	73	9.9k 1.4×	7.0k 2.0×	2.0k 0.6×	3.0k 1.1×	2.5k 0.9×	186	19.9k
Pascal J. Goldschmidt‐Clermont United States	64	6.4k 0.9×	2.4k 0.7×	1.7k 0.5×	1.7k 0.6×	2.0k 0.8×	228	14.1k
Armin Kurtz Germany	62	6.1k 0.9×	2.5k 0.7×	1.8k 0.5×	2.1k 0.8×	578 0.2×	403	13.2k
Tetsuo Noda Japan	80	15.6k 2.2×	955 0.3×	2.6k 0.8×	1.8k 0.7×	2.7k 1.0×	260	24.3k

Countries citing papers authored by Thomas Quertermous

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Quertermous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Quertermous

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

All Works

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20 of 20 papers shown

Li, Daniel Y., et al.. (2025). Decoding human cardiovascular development and disease through single-cell transcriptomic and epigenomic profiling. Trends in Cell Biology. 35(8). 690–701. 1 indexed citations

Balliu, Brunilda, Ivan Carcamo‐Orive, Michael J. Gloudemans, et al.. (2021). An integrated approach to identify environmental modulators of genetic risk factors for complex traits. The American Journal of Human Genetics. 108(10). 1866–1879. 16 indexed citations

Zhao, Quanyi, Michael Dacre, Trieu Nguyen, et al.. (2020). Molecular mechanisms of coronary disease revealed using quantitative trait loci for TCF21 binding, chromatin accessibility, and chromosomal looping. Genome biology. 21(1). 135–135. 13 indexed citations

Kim, Juyong Brian, Quanyi Zhao, Trieu Nguyen, et al.. (2020). Environment-Sensing Aryl Hydrocarbon Receptor Inhibits the Chondrogenic Fate of Modulated Smooth Muscle Cells in Atherosclerotic Lesions. Circulation. 142(6). 575–590. 63 indexed citations

Chang, Tien‐Jyun, Wen‐Chang Wang, Chao A. Hsiung, et al.. (2016). Genetic Variation in the Human SORBS1 Gene is Associated With Blood Pressure Regulation and Age at Onset of Hypertension. Medicine. 95(10). e2970–e2970. 12 indexed citations

Jin, Yang, Xuhui Feng, Qiong Zhou, et al.. (2016). Pathological Ace2-to-Ace enzyme switch in the stressed heart is transcriptionally controlled by the endothelial Brg1–FoxM1 complex. PMC. 1 indexed citations

Zeini, Miriam, Chieh‐Yu Lin, Yiqin Xiong, et al.. (2014). Epicardial calcineurin-NFAT signals through Smad2 to direct coronary smooth muscle cell and arterial wall development. PMC. 1 indexed citations

Han, Pei, Wei Li, Jin Yang, et al.. (2014). A long non-coding RNA protects the heart from pathological hypertrophy. RePEc: Research Papers in Economics. 1 indexed citations

Kojima, Yoko, Ramendra Kundu, Clint L. Miller, et al.. (2014). Cyclin-dependent kinase inhibitor 2B regulates efferocytosis and atherosclerosis. Journal of Clinical Investigation. 124(3). 1083–1097. 116 indexed citations

10.

Basu, Analabha, Hua Tang, Kari E. North, et al.. (2009). Admixture mapping of quantitative trait loci for blood lipids in African-Americans. Human Molecular Genetics. 18(11). 2091–2098. 25 indexed citations

11.

Urashima, Takashi, Mingming Zhao, Giovanni Fajardo, et al.. (2008). Molecular and physiological characterization of RV remodeling in a murine model of pulmonary stenosis. American Journal of Physiology-Heart and Circulatory Physiology. 295(3). H1351–H1368. 94 indexed citations

12.

Ashley, Euan A., et al.. (2006). Abstract 453: Apelin Regulates Cardiac Contractility and Rescues Neurohormonal Heart Failure. Circulation. 114. 3 indexed citations

13.

David, Christopher, Andreas Stahl, Ken‐ichi Hirata, et al.. (2004). Endothelial lipase is synthesized by hepatic and aorta endothelial cells and its expression is altered in apoE-deficient mice. Journal of Lipid Research. 45(9). 1614–1623. 19 indexed citations

14.

Yang, Wei‐Shiung, Low Tone Ho, Chih‐Tsueng He, et al.. (2003). Genetic epistasis of adiponectin and PPAR?2 genotypes in modulation of insulin sensitivity: a family-based association study. Diabetologia. 46(7). 977–983. 54 indexed citations

15.

Bu, Xin & Thomas Quertermous. (1997). Identification of an Endothelial Cell-specific Regulatory Region in the Murine Endothelin-1 Gene. Journal of Biological Chemistry. 272(51). 32613–32622. 23 indexed citations

16.

Hidai, Chiaki, Shinichi Kimata, Rumiko Matsuoka, et al.. (1996). Endogenous endothelin-1 mediates cardiac hypertrophy and switching of myosin heavy chain gene expression in rat ventricular myocardium. Journal of the American College of Cardiology. 27(5). 1286–1291. 41 indexed citations

17.

Espinosa, Rafael, et al.. (1995). Genomic Organization and Chromosomal Localization of the Gene TCF15 Encoding the Early Mesodermal Basic Helix-Loop-Helix Factor bHLH-EC2. Genomics. 30(3). 598–601. 1 indexed citations

18.

Blanar, Michael A., et al.. (1994). Cloning and characterization of a basic helix-loop-helix protein expressed in early mesoderm and the developing somites.. Proceedings of the National Academy of Sciences. 91(15). 7066–7070. 49 indexed citations

19.

Lee, M E, Suzanne M. de la Monte, Siew C. Ng, Kenneth D. Bloch, & Thomas Quertermous. (1990). Expression of the potent vasoconstrictor endothelin in the human central nervous system.. Journal of Clinical Investigation. 86(1). 141–147. 200 indexed citations

20.

Love, Ted W., Marschall S. Runge, Edgar Haber, & Thomas Quertermous. (1989). [35] Recombinant antibodies possessing novel effector functions. Methods in enzymology on CD-ROM/Methods in enzymology. 178. 515–527. 10 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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