Raj Bhan

620 citations
13 papers · 434 · h-index 10

Impact in

Papers in

Raj Bhan

13 papers receiving 405 citations

Peers

Raj Bhan
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 198
  • Radiology, Nuclear Medicine and Imaging 52
  • Epidemiology 61
  • Endocrinology, Diabetes and Metabolism 29
  • Rheumatology 26
Replace B Maisch with:
B Maisch Germany
Kayo Hayashi Japan
Kaoru Hatanaka Japan
Niel F. Starksen United States
Stefan Göser Germany
Yoshiki Akakabe Japan
Akiyasu Baba Japan
J. Perennec France
А. В. Потехина Russia
Kouji Chida Japan
Raj Bhan relative to B Maisch Germany B Maisch's profile →
Citations per field
00.5×1.5×1.9×
B Maisch · 1×
Citations per year

Countries citing papers authored by Raj Bhan

Since Specialization
Citations

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

Fields of papers citing papers by Raj Bhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Hypertensive-diabetic cardiomyopathy in the rat: an experimental model of human disease.
1981127
2 199754
3
In vivo human-hamster somatic cell fusion indicated by glucose 6-phosphate dehydrogenase and lactate dehydrogenase profiles.
197148
4 200147
5 199139
6 198336
7 197829
8
Adrenoreceptor blockade in angiotensin-induced hypertension: effect on rat coronary arteries and myocardium.
198214
9 200710
10 197010
11 20079
12 19986
13 20075

About Raj Bhan

Raj Bhan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases, having authored 13 papers that have together received 434 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Lung Cancer Research Studies (1 paper), Cardiovascular Effects of Exercise (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (198 citations), Radiology, Nuclear Medicine and Imaging (52 citations), Epidemiology (61 citations), Endocrinology, Diabetes and Metabolism (29 citations) and Rheumatology (26 citations). Raj Bhan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Harvey Wolinsky, Edmund H. Sonnenblick, Takashi Minase, S M Factor, David M. Goldenberg, Carlos Bedrossian, Joseph Wiener, Jill Ohar, F Giacomelli and David Kmak. Their work appears in journals such as Acta Cytologica, Experimental Biology and Medicine, Journal of Thoracic and Cardiovascular Surgery, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Gynecologic Oncology.

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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