B B Hoffman

2.1k citations
32 papers · 1.8k · h-index 20

Impact in

Papers in

B B Hoffman

32 papers receiving 1.7k citations

Peers

B B Hoffman
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 402
  • Physiology 510
  • Biochemistry 107
  • Cardiology and Cardiovascular Medicine 353
  • Endocrinology, Diabetes and Metabolism 232
Replace Zoltán Szilvássy with:
Zoltán Szilvássy Hungary
Jesús Marı́n Spain
P M Vanhoutte United States
Enrique Alborch Spain
Suk Hyo Suh South Korea
T.J. Verbeuren France
Tripti Gautam United States
Ján Lehotský Slovakia
Л. Н. Маслов Russia
Takahiro Horinouchi Japan
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Citations per field
00.5×1.7×
Zoltán Szilvássy · 1×
Citations per year

Countries citing papers authored by B B Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by B B Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992368
2 1993208
3 1991149
4 1988137
5 198194
6 200092
7 199675
8 199571
9 198669
10 198563
11 198753
12 198850
13 198948
14 199227
15 198626
16
Cardiomyopathy in a rat model of pheochromocytoma. Morphological and functional alterations.
198825
17 198523
18 198622
19 198621
20 198720

About B B Hoffman

B B Hoffman is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Biochemistry, Animal Science and Zoology and Physiology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Hormonal Regulation and Hypertension (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Pharmacological Effects and Assays (6 papers), Adrenal and Paraganglionic Tumors (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Diabetes Treatment and Management (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (402 citations), Physiology (510 citations), Biochemistry (107 citations), Cardiology and Cardiovascular Medicine (353 citations) and Endocrinology, Diabetes and Metabolism (232 citations). B B Hoffman has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Salman Azhar, Jin Han Chin, Gozoh Tsujimoto, John Thomas, S. Scott Bowersox, Michael R. Bristow, Wayne Minobe, Ray E. Hershberger, R Rasmussen and Keith G. Lurie. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, Journal of Clinical Investigation, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Respiratory and Critical Care Medicine.

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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