Jack D. Barrett

80 papers receiving 1.6k citations

Peers

Jack D. Barrett
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 724
  • Endocrinology, Diabetes and Metabolism 464
  • Nephrology 90
  • Molecular Biology 861
  • Hematology 120
Replace Ferenc Erdődi with:
Ferenc Erdődi Hungary
Adalberto Ramón Vieyra Brazil
Luis Michea Chile
Stephen C. Benson United States
Toshio Onishi Japan
RA Cooper United States
John S. Cook United States
Mark A. Wentworth United Kingdom
Satoru Chiba Japan
Claude Leray France
Jack D. Barrett relative to Ferenc Erdődi Hungary Ferenc Erdődi's profile →
Citations per field
00.5×2×4×6×8.2×
Ferenc Erdődi · 1×
Citations per year

Countries citing papers authored by Jack D. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Jack D. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack D. Barrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack D. Barrett Line = papers co-authored together Jack D. Barrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983177
2 1993137
3 1998127
4 199991
5 199171
6 197469
7 199163
8 199658
9 197644
10 198242
11 198442
12 198039
13 199538
14 197838
15 199537
16 199836
17 200035
18 197634
19 199830
20 197729

About Jack D. Barrett

Jack D. Barrett is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Hematology and Nephrology, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (40 papers), Hormonal Regulation and Hypertension (24 papers), Receptor Mechanisms and Signaling (20 papers), Blood Pressure and Hypertension Studies (5 papers), Erythropoietin and Anemia Treatment (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Seed Germination and Physiology (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (724 citations), Endocrinology, Diabetes and Metabolism (464 citations), Nephrology (90 citations), Molecular Biology (861 citations) and Hematology (120 citations). Jack D. Barrett has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter Eggena, Mohinder P. Sambhi, Anthony W. D. Larkum, J. M. Bonga, Y. S. Park, Kerry B. Clegg, Jian Hua Zhu, Nora J. Jamgotchian, J. Frederick Krall and James R. Sowers. Their work appears in journals such as Clinical and Experimental Hypertension, Journal of Hypertension, Hypertension, The Journal of Clinical Endocrinology & Metabolism and American Journal of Physiology-Endocrinology and Metabolism.

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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