Karl D. Pendergrass

958 citations
15 papers · 807 indexed · h-index 12
Topics
Renin-Angiotensin System Studies (8 papers)Receptor Mechanisms and Signaling (5 papers)Cardiac Ischemia and Reperfusion (4 papers)
Partner nations
United StatesRussiaChina

In The Last Decade

Karl D. Pendergrass

15 papers receiving 801 citations

Peers

Karl D. Pendergrass
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 446
  • Molecular Biology 319
  • Endocrinology, Diabetes and Metabolism 298
  • Surgery 99
  • Pharmacology 86
Replace Kazutaka Ueda with:
Kazutaka Ueda Japan
Brian R. Weil United States
Carmen Brás‐Silva Portugal
Christopher J. Pelham United States
Alfonso Campanile Italy
Makbule Aydın Türkiye
Can Martin Sag Germany
Stefanie Keymel Germany
Christiane Trimpert Germany
Karl D. Pendergrass relative to Kazutaka Ueda Japan Kazutaka Ueda's profile →
Citations per field
00.5×3.2×
Kazutaka Ueda · 1×
Citations per year

Countries citing papers authored by Karl D. Pendergrass

Since Specialization
Citations

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

Fields of papers citing papers by Karl D. Pendergrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl D. Pendergrass. 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 Karl D. Pendergrass. The network helps show where Karl D. Pendergrass may publish in the future.

Co-authorship network of co-authors of Karl D. Pendergrass

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 34
2 11
3 44
4 62
5 64
6 11
7 103
8 22
9 72
10 74
11 108
12 1
13 97
14 20
15 84

About Karl D. Pendergrass

Karl D. Pendergrass is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 807 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Receptor Mechanisms and Signaling (5 papers) and Cardiac Ischemia and Reperfusion (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (446 citations), Endocrinology, Diabetes and Metabolism (298 citations) and Genetics (72 citations). Karl D. Pendergrass has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Mark C. Chappell, TanYa M. Gwathmey, Debra I. Diz, Michael Davis, Carlos M. Ferrario, Nancy T. Pirro, James C. Rose, Ebaa M Alzayadneh, Milton E. Brown and Archana V. Boopathy. Their work appears in journals such as Biomaterials, Scientific Reports and The FASEB Journal.

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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