Jonathan Williams

1.0k citations
28 papers · 359 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 4
    • Antifungal resistance and susceptibility 2
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Fungal Infections and Studies 2

Jonathan Williams

24 papers receiving 340 citations

Peers

Jonathan Williams
Comparison fields: 5 of 69
  • Infectious Diseases 183
  • Obstetrics and Gynecology 28
  • Neurology 46
  • Applied Microbiology and Biotechnology 3
  • Molecular Medicine 8
Replace Panagiotis Koufargyris with:
Panagiotis Koufargyris Greece
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 202163
3 202045
4 201225
5
Clinical characteristics and outcomes of COVID-19 in solid organ transplant recipients: A case-control study.
202019
6 197118
7 201516
8
Familial paroxysmal chorea-athetosis.
196316
9 196313
10 20228
11 20208
12 20236
13 20224
14
Big Data and The Commoditization of Analytics: Engaging First-Year Business Students with Analytics
20184
15 20224
16 20034
17 20212
18 20232
19 20211
20 20251

About Jonathan Williams

Jonathan Williams is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Neurology and Genetics, having authored 28 papers that have together received 359 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Blood disorders and treatments (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), COVID-19 Impact on Reproduction (2 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Infectious Diseases (183 citations), Obstetrics and Gynecology (28 citations), Neurology (46 citations), Applied Microbiology and Biotechnology (3 citations) and Molecular Medicine (8 citations). Jonathan Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include H. H. Stevens, Mayur Ramesh, George Alangaden, Brian Poirier, Erik D. Larson, David Alfego, Stanley Letovsky, Ajay Grover, Dorothy Adcock and Amit Vahia. Their work appears in journals such as Open Forum Infectious Diseases, American Journal of Transplantation, The American Journal of Gastroenterology, Frontiers in Public Health and Proceedings of the National Academy of Sciences.

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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