William S. Probert

1.8k citations
31 papers · 1.6k · h-index 19

Impact in

Papers in

William S. Probert

31 papers receiving 1.5k citations

Peers

William S. Probert
Comparison fields: 5 of 76
  • Parasitology 688
  • Small Animals 275
  • Infectious Diseases 585
  • Endocrinology 97
  • Epidemiology 526
Replace Valéria Dutra with:
Valéria Dutra Brazil
Luciano Nakazato Brazil
Charalambos Billinis Greece
Anne Mayer‐Scholl Germany
A. Waldvogel Switzerland
C.R. Wilks Australia
David M. Waag United States
C. A. Kirkbride United States
Jarosław Kaba Poland
Jane Megid Brazil
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Citations per field
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Citations per year

Countries citing papers authored by William S. Probert

Since Specialization
Citations

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

Fields of papers citing papers by William S. Probert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William S. Probert, 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 S. Probert Line = papers co-authored together William S. Probert 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 1998235
2 2004203
3 1988173
4 1994122
5 199798
6 199083
7 200175
8 199563
9 200460
10 200757
11 198948
12
Francisella and Brucella.
200643
13 200841
14 201437
15 200729
16 200428
17 201726
18 200821
19 200619
20 198816

About William S. Probert

William S. Probert is a scholar working on Epidemiology, Parasitology, Infectious Diseases, Molecular Biology and Immunology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (5 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Herpesvirus Infections and Treatments (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Escherichia coli research studies (4 papers), Vector-Borne Animal Diseases (3 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). The work is most often cited by research in Parasitology (688 citations), Small Animals (275 citations), Infectious Diseases (585 citations), Endocrinology (97 citations) and Epidemiology (526 citations). William S. Probert has collaborated with scholars based in United States, Türkiye and Brazil. Frequent co-authors include Barbara J. B. Johnson, R B LeFebvre, Kimmi N. Schrader, Margot Graves, Richard R. Spaete, Lucy Rasmussen, C Pachl, Thomas C. Merigan, Frank R. Masiarz and Scott Chamberlain. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, Emerging infectious diseases, The Journal of Infectious Diseases and Virology.

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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