Will Sopwith

709 citations
29 papers · 584 · h-index 13

Impact in

    • Salmonella and Campylobacter epidemiology
    • Viral gastroenteritis research and epidemiology
    • Infection Control in Healthcare

Papers in

Will Sopwith

28 papers receiving 551 citations

Peers

Will Sopwith
Comparison fields: 5 of 63
  • Food Science 189
  • Infectious Diseases 156
  • Parasitology 35
  • Microbiology 14
  • Applied Microbiology and Biotechnology 5
Replace Kamal Marhoum El Filali with:
Kamal Marhoum El Filali Morocco
Jordan B. Glaser United States
Luc Eyckmans Belgium
Danielle Malta Lima Brazil
J L Barnhart United States
Ramya Gopinath United States
Hidenori Nakama Japan
Helge Myrmel Norway
Michael R. Braddick United Kingdom
Ricardo Bolivar United States
Will Sopwith relative to Kamal Marhoum El Filali Morocco Kamal Marhoum El Filali's profile →
Citations per field
00.5×2×4×6×8×9.9×
Kamal Marhoum El Filali · 1×
Citations per year

Countries citing papers authored by Will Sopwith

Since Specialization
Citations

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

Fields of papers citing papers by Will Sopwith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 200871
3 200367
4 200652
5 200342
6 200540
7 201036
8 202027
9 200226
10 200819
11 200919
12 202118
13 202013
14 202113
15 200711
16 20248
17 20226
18 20236
19 20184
20 20043

About Will Sopwith

Will Sopwith is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Food Science, Epidemiology and Health Informatics, having authored 29 papers that have together received 584 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Influenza Virus Research Studies (2 papers), Lung Cancer Treatments and Mutations (1 paper), Electronic Health Records Systems (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Food Science (189 citations), Infectious Diseases (156 citations), Parasitology (35 citations), Microbiology (14 citations) and Applied Microbiology and Biotechnology (5 citations). Will Sopwith has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Martyn Regan, Qutub Syed, Matthew Ashton, Lorraine Lighton, Keith S. Osborn, Rachel M. Chalmers, Nigel A. Cunliffe, Osamu Nakagomi, Paul Garner and C. Anthony Hart. Their work appears in journals such as Emerging infectious diseases, Frontiers in Oncology, BMJ Open, Annals of Oncology and Journal of Infection.

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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