Kevin L. Tompkins

992 total citations
8 papers, 752 citations indexed

About

Kevin L. Tompkins is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin L. Tompkins has authored 8 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin L. Tompkins's work include Congenital heart defects research (6 papers), Cardiac Valve Diseases and Treatments (3 papers) and Signaling Pathways in Disease (2 papers). Kevin L. Tompkins is often cited by papers focused on Congenital heart defects research (6 papers), Cardiac Valve Diseases and Treatments (3 papers) and Signaling Pathways in Disease (2 papers). Kevin L. Tompkins collaborates with scholars based in United States and United Kingdom. Kevin L. Tompkins's co-authors include H. Scott Baldwin, Lorene Batts, Brigid L.M. Hogan, Holger Kulessa, Kai Jiao, Bingruo Wu, Xianghu Qu, Bin Zhou, Antonis K. Hatzopoulos and Melissa Langworthy and has published in prestigious journals such as Genes & Development, Circulation Research and Development.

In The Last Decade

Kevin L. Tompkins

8 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin L. Tompkins United States	8	627	211	143	125	90	8	752
Lorene Batts United States	7	640 1.0×	142 0.7×	109 0.8×	179 1.4×	169 1.9×	8	806
Laura Pajak United States	10	874 1.4×	351 1.7×	101 0.7×	305 2.4×	70 0.8×	14	1.1k
Patima Sdek United States	7	764 1.2×	154 0.7×	95 0.7×	204 1.6×	53 0.6×	10	940
Calvin T. Hang United States	8	754 1.2×	159 0.8×	92 0.6×	76 0.6×	49 0.5×	12	863
Shalini Muralidhar United States	7	670 1.1×	200 0.9×	111 0.8×	286 2.3×	59 0.7×	9	803
Belén Prados Spain	11	417 0.7×	174 0.8×	67 0.5×	57 0.5×	55 0.6×	12	559
Amer A. Rana United Kingdom	16	460 0.7×	109 0.5×	67 0.5×	71 0.6×	248 2.8×	29	769
Eleanor Hilliard United States	12	356 0.6×	114 0.5×	46 0.3×	88 0.7×	81 0.9×	18	563
Asangi R. Kumarapeli United States	12	489 0.8×	158 0.7×	176 1.2×	111 0.9×	23 0.3×	27	688
Jessica N. Buck United States	5	590 0.9×	176 0.8×	69 0.5×	156 1.2×	38 0.4×	6	994

Countries citing papers authored by Kevin L. Tompkins

Since Specialization

Citations

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

Fields of papers citing papers by Kevin L. Tompkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin L. Tompkins

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

All Works

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8 of 8 papers shown

Barkas, Nikolaos, et al.. (2019). Myocardial differentiation is dependent upon endocardial signaling during early cardiogenesis in vitro. Development. 146(9). 22 indexed citations

Wu, Bingruo, Melissa Langworthy, Kevin L. Tompkins, et al.. (2011). Nfatc1 Coordinates Valve Endocardial Cell Lineage Development Required for Heart Valve Formation. Circulation Research. 109(2). 183–192. 132 indexed citations

Qu, Xianghu, Kevin L. Tompkins, Lorene Batts, Mira C. Puri, & H. Scott Baldwin. (2010). Abnormal embryonic lymphatic vessel development in Tie1 hypomorphic mice. Development. 137(8). 1285–1295. 56 indexed citations

Boyle, Scott C., et al.. (2009). Endocardial cells are a distinct endothelial lineage derived from Flk1+ multipotent cardiovascular progenitors. Developmental Biology. 333(1). 78–89. 91 indexed citations

Qu, Xianghu, Haibo Jia, Deborah M. Garrity, et al.. (2008). ndrg4 is required for normal myocyte proliferation during early cardiac development in zebrafish. Developmental Biology. 317(2). 486–496. 60 indexed citations

Zhou, Bin, et al.. (2005). Characterization of Nfatc1 regulation identifies an enhancer required for gene expression that is specific to pro-valve endocardial cells in the developing heart. Development. 132(5). 1137–1146. 70 indexed citations

Jiao, Kai, Holger Kulessa, Kevin L. Tompkins, et al.. (2003). An essential role of Bmp4 in the atrioventricular septation of the mouse heart. Genes & Development. 17(19). 2362–2367. 287 indexed citations

Tompkins, Kevin L., et al.. (2000). Induction of cytotoxic T cells and their antitumor activity in mice transgenic for carcinoembryonic antigen. Cancer Immunology Immunotherapy. 49(6). 285–295. 34 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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