William Prince

44 papers receiving 1.3k citations

Peers

William Prince
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 354
  • Small Animals 139
  • Virology 64
  • Infectious Diseases 239
  • Molecular Medicine 61
Replace Manuel Campos‐Toimil with:
Manuel Campos‐Toimil Spain
Salvatore Catania Italy
P Lechat France
Ramaswamy Kalyanasundaram United States
YOSUKE SAWADA Japan
Dalu T. Mancama South Africa
Georgia Correa Atella Brazil
Gnanasekar Munirathinam United States
Jeffrey M. Gilbert United States
D Romeo Italy
William Prince relative to Manuel Campos‐Toimil Spain Manuel Campos‐Toimil's profile →
Citations per field
00.5×2×3×4×4.7×
Manuel Campos‐Toimil · 1×
Citations per year

Countries citing papers authored by William Prince

Since Specialization
Citations

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

Fields of papers citing papers by William Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972105
2 1973104
3 201397
4 197296
5 199478
6 197576
7 197373
8 197265
9 201660
10 199855
11 197252
12 199950
13 200049
14 200248
15 199446
16 197843
17 197641
18 200941
19 197131
20 201427

About William Prince

William Prince is a scholar working on Virology, Infectious Diseases, Cellular and Molecular Neuroscience, Small Animals and Hepatology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (9 papers), HIV Research and Treatment (7 papers), Neurobiology and Insect Physiology Research (7 papers), Ion channel regulation and function (5 papers), Veterinary medicine and infectious diseases (5 papers), Plant and Biological Electrophysiology Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (354 citations), Small Animals (139 citations), Virology (64 citations), Infectious Diseases (239 citations) and Molecular Medicine (61 citations). William Prince has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael John Berridge, Howard Rasmussen, B.D. Lindley, Timothy Colin Hardman, Susan E. Fowles, M J Berridge, Zrinka Ivezic‐Schoenfeld, George H. Talbot, Florian Obermayr and Robert W. Novak. Their work appears in journals such as Journal of Experimental Biology, The Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy, European Journal of Clinical Pharmacology and Journal of Antimicrobial Chemotherapy.

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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