Jack Barrett

84 papers receiving 1.7k citations

Peers

Jack Barrett
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 746
  • Endocrinology, Diabetes and Metabolism 474
  • Nephrology 92
  • Molecular Biology 870
  • Hematology 115
Replace Adalberto Vieyra with:
Adalberto Vieyra Brazil
Ferenc Erdődi Hungary
Luis Michea Chile
Stephen C. Benson United States
Toshio Onishi Japan
RA Cooper United States
H. J. Schatzmann Switzerland
Zhongyi Chen China
Akiko Harada Japan
John S. Cook United States
Jack Barrett relative to Adalberto Vieyra Brazil Adalberto Vieyra's profile →
Citations per field
00.5×2×4×6×8.8×
Adalberto Vieyra · 1×
Citations per year

Countries citing papers authored by Jack Barrett

Since Specialization
Citations

This map shows the geographic impact of Jack 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 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 Barrett more than expected).

Fields of papers citing papers by Jack Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack 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 Barrett Line = papers co-authored together Jack Barrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983178
2 1993134
3 1998127
4 199990
5 199171
6 197470
7 199159
8 199657
9 197645
10 198445
11 198242
12 198441
13 198039
14 197839
15 199538
16 200037
17 199836
18 199536
19 197634
20 199730

About Jack Barrett

Jack Barrett is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 88 papers that have together received 1.9k 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 (6 papers), Erythropoietin and Anemia Treatment (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (746 citations), Endocrinology, Diabetes and Metabolism (474 citations), Nephrology (92 citations), Molecular Biology (870 citations) and Hematology (115 citations). Jack 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 Zhu, Michael S. Golub, Nora Jamgotchian and J Krall. Their work appears in journals such as Journal of Hypertension, Hypertension, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Circulation Research.

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.

Explore authors with similar magnitude of impact