Paul J. Fields

717 citations
39 papers · 513 · h-index 14

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Dermatological diseases and infestations
  • Parasitology top 10%
    • Parasitic Infections and Diagnostics

Papers in

Paul J. Fields

35 papers receiving 495 citations

Peers

Paul J. Fields
Comparison fields: 5 of 108
  • Infectious Diseases 172
  • Parasitology 51
  • Gastroenterology 26
  • Pathology and Forensic Medicine 69
  • Rehabilitation 20
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Hikaru Okada Japan
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D. R. W. Haddock Ghana
Eva Ehrlich-Kautzky United States
José Manuel Zubeldia Spain
Eva Malone United Kingdom
David Jones United States
Zhichun Feng China
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Countries citing papers authored by Paul J. Fields

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Fields. 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 Paul J. Fields. The network helps show where Paul J. Fields may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 201353
3 201034
4 200934
5 201032
6 202130
7 200830
8 201728
9 201624
10 201420
11 201818
12 201718
13 201718
14 201115
15 201811
16 201710
17 20188
18
Prevalence of cervical cancer and associated mortality in Grenada, 2000-2010.
20167
19 20197
20
The Future of Everything: The Science of Prediction
20086

About Paul J. Fields

Paul J. Fields is a scholar working on Infectious Diseases, Artificial Intelligence, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 39 papers that have together received 513 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (5 papers), Congenital Anomalies and Fetal Surgery (4 papers), Parasitic infections in humans and animals (4 papers), Cervical Cancer and HPV Research (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Complementary and Alternative Medicine Studies (3 papers), Dermatological diseases and infestations (3 papers) and Statistics Education and Methodologies (3 papers). The work is most often cited by research in Infectious Diseases (172 citations), Parasitology (51 citations), Gastroenterology (26 citations), Pathology and Forensic Medicine (69 citations) and Rehabilitation (20 citations). Paul J. Fields has collaborated with scholars based in Grenada, United States and Canada. Frequent co-authors include C. N. L. Macpherson, Nadia Solomon, Madhavi Reddy, Daryl Ramai, J. Ty Hopkins, Iain Hunter, Satesh Bidaisee, Gary W. Mack, David O. Draper and Kevin C. Miller. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Acta Tropica, Medicine & Science in Sports & Exercise, Veterinary Parasitology and Child s Nervous System.

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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