William A. Fish

18 papers receiving 391 citations

Peers

William A. Fish
Comparison fields: 5 of 79
  • Endocrinology 54
  • Biochemistry 30
  • Endocrinology, Diabetes and Metabolism 52
  • Surgery 136
  • Molecular Biology 217
Replace ROLF M. HOCHSTER with:
ROLF M. HOCHSTER Canada
S.V. Pande India
Chikako Ishikawa Japan
Karen A. Ferguson United States
Raymond B Ashworth United States
Josephine R. Landrey United States
Junius M. Webb United States
Gianfranco Liut Italy
George E. Stapleton United States
Kenneth S. Dodgson United Kingdom
William A. Fish relative to ROLF M. HOCHSTER Canada ROLF M. HOCHSTER's profile →
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Citations per year

Countries citing papers authored by William A. Fish

Since Specialization
Citations

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

Fields of papers citing papers by William A. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Fish. 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 William A. Fish. The network helps show where William A. Fish may publish in the future.

Co-authors

The 6 scholars most cited alongside William A. Fish, 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 William A. Fish Line = papers co-authored together William A. Fish links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1986146
2 195661
3 195845
4 199135
5 196230
6 196025
7 195525
8 195221
9 196616
10 195313
11 195412
12 195512
13 195110
14
Survival studies on chromium-51-labeled erythrocytes in tumor-bearing rabbits.
19566
15 19525
16
Distribution and turnover of cholesterol in rats fed 3'-methyl-4-dimethylaminoazobenzene.
19544
17 19564
18
Development of a field assay of iron limitation in nutrient rich lakes
19871

About William A. Fish

William A. Fish is a scholar working on Endocrinology, Diabetes and Metabolism, Analytical Chemistry, Spectroscopy, Environmental Chemistry and Surgery, having authored 18 papers that have together received 471 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Hormonal Regulation and Hypertension (3 papers), Analytical Chemistry and Chromatography (2 papers), Thyroid Disorders and Treatments (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Birth, Development, and Health (2 papers), Soil and Water Nutrient Dynamics (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Endocrinology (54 citations), Biochemistry (30 citations), Endocrinology, Diabetes and Metabolism (52 citations), Surgery (136 citations) and Molecular Biology (217 citations). William A. Fish has collaborated with scholars based in United States. Frequent co-authors include Frank M. Hauser, Luis Actis, Joann Sanders–Loehr, Jorge H. Crosa, John G. Rueter and Fredric J. Burns. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry, Journal of the American Chemical Society, Journal of Applied Physiology and Journal of Bacteriology.

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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