Kenneth E. Bernstein

189 papers receiving 12.9k citations

Kenneth E. Bernstein's Hit Papers

The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors 2023 · 312 citations
3120+11+23Years since publication2505007501k

Peers

Kenneth E. Bernstein
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 7k
  • Immunology 819
  • Molecular Biology 2.6k
  • Reproductive Medicine 413
  • Nephrology 351
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Countries citing papers authored by Kenneth E. Bernstein

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Bernstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth E. Bernstein. 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 Kenneth E. Bernstein. The network helps show where Kenneth E. Bernstein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolation of a cDNA encoding the vascular type-1 angiotensin II receptor
Hit paper breakdown →
19911123
2
Direct stimulation of Jak/STAT pathway by the angiotensin II AT1 receptor
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1995655
3
DC isoketal-modified proteins activate T cells and promote hypertension
Hit paper breakdown →
2014467
4
THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein‐coupled receptors
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2021452
5
Mice lacking angiotensin-converting enzyme have low blood pressure, renal pathology, and reduced male fertility.
1996399
6
The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors
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2023312
7 2006286
8 2013259
9 1982249
10 1997241
11 2010227
12 2004223
13 2001215
14 2015214
15 1994193
16 1997193
17 1990188
18 2013176
19 2020176
20 2006174

About Kenneth E. Bernstein

Kenneth E. Bernstein is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 193 papers that have together received 13.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (128 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Cytokine Signaling Pathways and Interactions (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Sperm and Testicular Function (7 papers), Receptor Mechanisms and Signaling (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7k citations), Immunology (819 citations), Molecular Biology (2.6k citations), Reproductive Medicine (413 citations) and Nephrology (351 citations). Kenneth E. Bernstein has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Mario B. Marrero, R. Wayne Alexander, William G. Paxton, Bradford C. Berk, Marschall S. Runge, T J Murphy, Kathy K. Griendling, Sébastien Fuchs, Xiao Z. Shen and Mario R. Capecchi. Their work appears in journals such as Journal of Biological Chemistry, Hypertension, Biochemical and Biophysical Research Communications, Journal of Clinical Investigation 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.

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