Thomas M. Coffman

749 total citations
9 papers, 572 citations indexed

About

Thomas M. Coffman is a scholar working on Pharmacology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas M. Coffman has authored 9 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Immunology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas M. Coffman's work include Inflammatory mediators and NSAID effects (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Thomas M. Coffman is often cited by papers focused on Inflammatory mediators and NSAID effects (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Thomas M. Coffman collaborates with scholars based in United States, Singapore and Russia. Thomas M. Coffman's co-authors include Beverly H. Koller, Roslyn B. Mannon, Jeffrey L. Platt, Matilde Bustos, J.A. Oliver, Dennis W. Thomas, Maureane Hoffman, S Saadi, Robert Griffiths and Kenneth Coggins and has published in prestigious journals such as Journal of Clinical Investigation, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Thomas M. Coffman

9 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas M. Coffman United States	8	199	140	131	124	98	9	572
Giovanna Baccante Italy	15	56 0.3×	172 1.2×	116 0.9×	23 0.2×	95 1.0×	19	546
Matteo Marini Italy	10	201 1.0×	213 1.5×	174 1.3×	73 0.6×	150 1.5×	17	772
Rolf A.K. Stahl Germany	11	40 0.2×	202 1.4×	146 1.1×	56 0.5×	45 0.5×	11	666
A M Eiroa United States	6	56 0.3×	112 0.8×	175 1.3×	24 0.2×	76 0.8×	6	623
Amanda Mather Australia	8	77 0.4×	274 2.0×	43 0.3×	19 0.2×	270 2.8×	22	804
Darshini Trivedi United States	8	204 1.0×	142 1.0×	98 0.7×	78 0.6×	101 1.0×	12	596
M. Haneda Japan	6	28 0.1×	193 1.4×	41 0.3×	24 0.2×	52 0.5×	11	442
Jérôme Paysant France	15	77 0.4×	115 0.8×	68 0.5×	85 0.7×	82 0.8×	23	495
David C. B. Mills United States	11	122 0.6×	136 1.0×	211 1.6×	33 0.3×	62 0.6×	15	676
Uwe Haberstroh Germany	7	52 0.3×	159 1.1×	129 1.0×	22 0.2×	46 0.5×	7	475

Countries citing papers authored by Thomas M. Coffman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Coffman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas M. Coffman

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

All Works

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9 of 9 papers shown

Mannon, Roslyn B., et al.. (2020). Coagulation defects and altered hemodynamic responses in mice lacking receptors for thromboxane A2.. UNC Libraries. 3 indexed citations

Sparks, Matthew A., Steven D. Crowley, Susan B. Gurley, Maria Mirotsou, & Thomas M. Coffman. (2014). Classical Renin‐Angiotensin System in Kidney Physiology. Comprehensive physiology. 4(3). 1201–1228. 25 indexed citations

Fabre, J, MyTrang Nguyen, Kenneth Coggins, et al.. (2001). Activation of the murine EP3 receptor for PGE2 inhibits cAMP production and promotes platelet aggregation. Journal of Clinical Investigation. 107(5). 603–610. 133 indexed citations

Mannon, Roslyn B., Jeffrey B. Kopp, Robert Griffiths, et al.. (1999). Chronic rejection of mouse kidney allografts. Kidney International. 55(5). 1935–1944. 55 indexed citations

Thomas, Dennis W., Roslyn B. Mannon, J.A. Oliver, et al.. (1998). Coagulation defects and altered hemodynamic responses in mice lacking receptors for thromboxane A2.. Journal of Clinical Investigation. 102(11). 1994–2001. 198 indexed citations

Naito, Takero, et al.. (1997). Systemic autoimmune nephritogenic components induce CSF-1 and TNF-α in MRL kidneys. Kidney International. 52(4). 934–941. 34 indexed citations

Bustos, Matilde, Thomas M. Coffman, S Saadi, & Jeffrey L. Platt. (1997). Modulation of eicosanoid metabolism in endothelial cells in a xenograft model. Role of cyclooxygenase-2.. Journal of Clinical Investigation. 100(5). 1150–1158. 70 indexed citations

Fan, Pei‐Chun, et al.. (1993). The azaspirane SKF 105685 ameliorates renal allograft rejection in rats.. Journal of the American Society of Nephrology. 3(10). 1680–1685. 11 indexed citations

Spurney, Robert F., et al.. (1992). Thromboxane receptor blockade reduces renal injury in murine lupus nephritis. Kidney International. 41(4). 973–982. 43 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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