Bernard M. Most

700 citations
16 papers · 509 · h-index 11

Impact in

Papers in

Bernard M. Most

16 papers receiving 464 citations

Peers

Bernard M. Most
Comparison fields: 5 of 116
  • Health, Toxicology and Mutagenesis 191
  • Cancer Research 55
  • Chemical Health and Safety 2
  • Radiological and Ultrasound Technology 13
  • Statistics and Probability 22
Replace Elizabeth A. Maull with:
Elizabeth A. Maull United States
M Garland United States
Alberto Salván Italy
Gary Mihlan United States
C. Cox United States
Martha L. Slattery United States
R G Ziegler United States
S. D. Stellman United States
Barbara Glenn United States
Ritva Piipari Finland
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Citations per field
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Citations per year

Countries citing papers authored by Bernard M. Most

Since Specialization
Citations

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

Fields of papers citing papers by Bernard M. Most

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard M. Most. 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 Bernard M. Most. The network helps show where Bernard M. Most may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1989100
2 199488
3 197887
4 197854
5 198741
6 199733
7 198626
8 198815
9 199312
10 198111
11 197511
12 198510
13 19859
14 19886
15
The Cow That Went OINK
19905
16 19881

About Bernard M. Most

Bernard M. Most is a scholar working on Health, Toxicology and Mutagenesis, Oncology, Public Health, Environmental and Occupational Health, Pharmacology and Cancer Research, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Endometriosis Research and Treatment (1 paper), Menstrual Health and Disorders (1 paper) and Chemical Analysis and Environmental Impact (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (191 citations), Cancer Research (55 citations), Chemical Health and Safety (2 citations), Radiological and Ultrasound Technology (13 citations) and Statistics and Probability (22 citations). Bernard M. Most has collaborated with scholars based in United States and Russia. Frequent co-authors include Lawrence L. Kupper, Anthony J. McMichael, Michael Symons, Henry L. Fisher, Kevin Sweeney, John P. Creason, S M Hopfer, F. William Sunderman, Allan H. Marcus and Jeremy C. Smith. Their work appears in journals such as Toxicology Letters, Experimental Biology and Medicine, Carcinogenesis, International Journal of Nursing Studies and Journal of Toxicology and Environmental Health.

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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