William Prince

43 papers receiving 1.2k citations

Peers

William Prince
Comparison fields: 5 of 104
  • Small Animals 136
  • Cellular and Molecular Neuroscience 284
  • Virology 57
  • Infectious Diseases 214
  • Molecular Medicine 48
Replace Manuel Campos‐Toimil with:
Manuel Campos‐Toimil Spain
Salvatore Catania Italy
YOSUKE SAWADA Japan
Robert V. House United States
Jeffrey M. Gilbert United States
Christine Oswald United States
Christine E. Loscher Ireland
P Lechat France
Kai Lüersen Germany
A.J. Higgins United Kingdom
William Prince relative to Manuel Campos‐Toimil Spain Manuel Campos‐Toimil's profile →
Citations per field
00.5×
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197393
2 201388
3 197287
4 197285
5 199467
6 197565
7 197363
8 197257
9 201655
10 199852
11 199945
12 200243
13 199440
14 200940
15 200038
16 197835
17 197635
18 201426
19 197125
20 201925

About William Prince

William Prince is a scholar working on Infectious Diseases, Cellular and Molecular Neuroscience, Molecular Biology, Virology and Small Animals, having authored 44 papers that have together received 1.3k 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 (6 papers), Veterinary medicine and infectious diseases (5 papers), Ion channel regulation and function (4 papers), Herpesvirus Infections and Treatments (3 papers), Hepatitis C virus research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Small Animals (136 citations), Cellular and Molecular Neuroscience (284 citations), Virology (57 citations), Infectious Diseases (214 citations) and Molecular Medicine (48 citations). William Prince has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael J. Berridge, Howard Rasmussen, B.D. Lindley, Timothy C. Hardman, Susan Fowles, Zrinka Ivezic‐Schoenfeld, M J Berridge, Kenneth J. Tack, Anthony S. Wierzbicki and Robert W. Novak. Their work appears in journals such as Journal of Experimental Biology, Antimicrobial Agents and Chemotherapy, The Journal of Clinical Pharmacology, 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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