Budh Dev Bhagat

932 citations
84 papers · 837 · h-index 16

Impact in

Papers in

Budh Dev Bhagat

77 papers receiving 693 citations

Peers

Budh Dev Bhagat
Comparison fields: 5 of 57
  • Behavioral Neuroscience 13
  • Cellular and Molecular Neuroscience 58
  • Cardiology and Cardiovascular Medicine 52
  • Biochemistry 8
  • Epidemiology 58
Replace Carl T. Ludden with:
Carl T. Ludden United States
John M. Stavorski United States
Herbert C. Wenger United States
J.P. Long United States
Kenji Honda Japan
W. E. Glover Australia
Brian C Bond United Kingdom
Eduardo Moura Portugal
Goran Pavlaković Germany
Albert O. Davies United States
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Citations per field
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Citations per year

Countries citing papers authored by Budh Dev Bhagat

Since Specialization
Citations

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

Fields of papers citing papers by Budh Dev Bhagat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Budh Dev Bhagat. 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 Budh Dev Bhagat. The network helps show where Budh Dev Bhagat may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197083
2
cAMP activity and isoproterenol-induced myocardial injury in rats.
197839
3 198133
4 196626
5 197026
6 197326
7 197022
8 196321
9 196721
10 196720
11 196720
12 197120
13 196917
14 197217
15 197317
16 197317
17 196216
18 196415
19 196415
20 196715

About Budh Dev Bhagat

Budh Dev Bhagat is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Neurology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 84 papers that have together received 837 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Blood Pressure and Hypertension Studies (4 papers), Alcoholism and Thiamine Deficiency (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Sepsis Diagnosis and Treatment (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (13 citations), Cellular and Molecular Neuroscience (58 citations), Cardiology and Cardiovascular Medicine (52 citations), Biochemistry (8 citations) and Epidemiology (58 citations). Budh Dev Bhagat has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Naranjan S. Dhalla, Mary F. Lockett, W. J. Burke, Papineni S. Rao, Frederick E. Shideman, Denis Cavanagh, David Sutton, M. Waheed Rana, Eitan Friedman and Joseph Seifter. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmacy and Pharmacology, British Journal of Pharmacology, Neuropharmacology and Psychopharmacology.

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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