Mark C. Chappell

19 total papers · 1.1k total citations
13 papers, 820 citations indexed

About

Mark C. Chappell is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Mark C. Chappell has authored 13 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Mark C. Chappell's work include Renin-Angiotensin System Studies (11 papers), Hormonal Regulation and Hypertension (9 papers) and Receptor Mechanisms and Signaling (5 papers). Mark C. Chappell is often cited by papers focused on Renin-Angiotensin System Studies (11 papers), Hormonal Regulation and Hypertension (9 papers) and Receptor Mechanisms and Signaling (5 papers). Mark C. Chappell collaborates with scholars based in United States and Japan. Mark C. Chappell's co-authors include Carlos M. Ferrario, K. Bridget Brosnihan, E. Ann Tallant, Patricia E. Gallagher, Robson A.S. Santos, Lewis Joel Greene, Debra I. Diz, Jorge L. Pesquero, Cheryl L. Chernicky and William R. Welches and has published in prestigious journals such as Kidney International, Hypertension and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Mark C. Chappell

13 papers receiving 804 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark C. Chappell	634	404	279	214	126	13	820
Nancy T. Pirro	596 0.9×	406 1.0×	246 0.9×	170 0.8×	77 0.6×	21	797
Rodrigo A. Fraga-Silva	644 1.0×	337 0.8×	297 1.1×	129 0.6×	60 0.5×	16	1.0k
Yuji Tatara	603 1.0×	260 0.6×	170 0.6×	117 0.5×	115 0.9×	23	980
Shetal H. Padia	664 1.0×	543 1.3×	393 1.4×	127 0.6×	65 0.5×	21	943
Karl D. Pendergrass	446 0.7×	299 0.7×	319 1.1×	86 0.4×	99 0.8×	15	804
Chantal Mercure	436 0.7×	290 0.7×	399 1.4×	66 0.3×	83 0.7×	23	815
O. Costerousse	675 1.1×	418 1.0×	183 0.7×	163 0.8×	92 0.7×	16	906
Irena Duka	246 0.4×	186 0.5×	304 1.1×	127 0.6×	105 0.8×	12	995
Kazuhisa Kijima	826 1.3×	332 0.8×	543 1.9×	92 0.4×	87 0.7×	17	1.0k
Francisco R. González‐Pacheco	235 0.4×	150 0.4×	283 1.0×	82 0.4×	61 0.5×	16	711

Countries citing papers authored by Mark C. Chappell

Since Specialization

Citations

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

Fields of papers citing papers by Mark C. Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Chappell. 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 Mark C. Chappell. The network helps show where Mark C. Chappell may publish in the future.

Co-authorship network of co-authors of Mark C. Chappell

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

All Works

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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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