William C. Grant

1.1k citations
31 papers · 858 · h-index 15

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

William C. Grant

28 papers receiving 734 citations

Peers

William C. Grant
Comparison fields: 5 of 112
  • Hepatology 125
  • Physiology 80
  • Aquatic Science 90
  • Ecology 293
  • Small Animals 49
Replace James M. Haynes with:
James M. Haynes United States
Kenji Shimazaki Japan
Norma Moreno-Méndoza Mexico
Gemma E. White United Kingdom
K. Johansen Denmark
K. N. Christie United Kingdom
Magnus W. Jacobsen Denmark
M. Samuel Cannon United States
Junzō Uchiyama Japan
Taro Ikegami Japan
William C. Grant relative to James M. Haynes United States James M. Haynes's profile →
Citations per field
00.5×10×16.3×
James M. Haynes · 1×
Citations per year

Countries citing papers authored by William C. Grant

Since Specialization
Citations

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

Fields of papers citing papers by William C. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969170
2 197476
3 200674
4 200570
5 196564
6 195862
7 195557
8 197644
9 197736
10 195935
11 196130
12 195527
13 196323
14 196919
15 195914
16 195513
17 201810
18 20106
19 19566
20 20005

About William C. Grant

William C. Grant is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Physiology, Economics and Econometrics and Nature and Landscape Conservation, having authored 31 papers that have together received 858 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (4 papers), Invertebrate Taxonomy and Ecology (4 papers), Artificial Intelligence in Games (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Hepatitis C virus research (2 papers), Collembola Taxonomy and Ecology Studies (2 papers), Statistical Methods in Clinical Trials (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Hepatology (125 citations), Physiology (80 citations), Aquatic Science (90 citations), Ecology (293 citations) and Small Animals (49 citations). William C. Grant has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Julio Herrero García, Thoralf M. Sundt, Ravi Jhaveri, John G. McHutchison, Teresa L. Kauf, George Cooper, Reinard Harkema, Kenneth E. Muse, Grace E. Pickford and Kevin A. Schulman. Their work appears in journals such as Biological Bulletin, Ecology, Journal of Parasitology, Science and The Journal of Pediatrics.

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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