J. S. Willman

1.3k citations
15 papers · 1.0k indexed · 1 hit paper · h-index 13
Topics
Respiratory viral infections research (6 papers)COVID-19 and Mental Health (3 papers)Viral Infections and Immunology Research (2 papers)

In The Last Decade

J. S. Willman

15 papers receiving 961 citations

Hit Papers

Experimental Parvoviral Infection in Humans19852026199820121985100200300400500

Peers

J. S. Willman
Comparison fields: 5 of 81
  • Infectious Diseases 685
  • Dermatology 490
  • Pediatrics, Perinatology and Child Health 232
  • Epidemiology 145
  • Hematology 117
Replace Richard G. Fried with:
Richard G. Fried United States
Bruno Halioua France
Vernon J. Brightman United States
Krzysztof Rutkowski United Kingdom
Caroline Koudelka United States
Dan C. Moore United States
Jane Hughes South Africa
Raoul I. Furlano Switzerland
Nermin Güler Türkiye
John P. McGovern United States
J. S. Willman relative to Richard G. Fried United States Richard G. Fried's profile →
Citations per field
00.5×10×15.5×
Richard G. Fried · 1×
Citations per year

Countries citing papers authored by J. S. Willman

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Willman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. S. Willman

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Willman. A scholar is included among the top collaborators of J. S. Willman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. S. Willman. J. S. Willman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 25
2 8
3 14
4 17
5 47
6 115
7 44
8 19
9 52
10 26
11 20
12
Experimental Parvoviral Infection in Humansbreakdown →
548
13 29
14 32
15 9

About J. S. Willman

J. S. Willman is a scholar working on Family Practice, Modeling and Simulation and Epidemiology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), COVID-19 and Mental Health (3 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Dermatology (490 citations), Infectious Diseases (685 citations) and Behavioral Neuroscience (47 citations). J. S. Willman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include D. A. J. Tyrrell, Paul G. Higgins, M. J. Anderson, J Pattison, Shane Jones, Michael Kidd, L. R. Davis, Andrew Smith, Kieran Coyle and W. Al‐Nakib. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Infectious Diseases and Psychological Medicine.

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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