Kenneth C. Williams

9.5k citations
117 papers · 7.5k indexed · 1 hit paper · h-index 48
Topics
HIV Research and Treatment (82 papers)Neuroinflammation and Neurodegeneration Mechanisms (36 papers)HIV-related health complications and treatments (34 papers)

In The Last Decade

Kenneth C. Williams

115 papers receiving 7.4k citations

Hit Papers

Arterial Inflammation in Patients With HIV20122026201620212012100200300

Peers

Kenneth C. Williams
Comparison fields: 5 of 141
  • Virology 3.8k
  • Immunology 2.4k
  • Neurology 2.1k
  • Emergency Medicine 2.0k
  • Infectious Diseases 1.8k
Replace Leon G. Epstein with:
Leon G. Epstein United States
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Dana Gabuzda United States
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Hans S.L.M. Nottet Netherlands
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Kenneth C. Williams relative to Leon G. Epstein United States Leon G. Epstein's profile →
Citations per field
00.5×
Leon G. Epstein · 1×
Citations per year

Countries citing papers authored by Kenneth C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Williams. A scholar is included among the top collaborators of Kenneth C. Williams 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 Kenneth C. Williams. Kenneth C. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 17
4 14
5 8
6 17
7 25
8 35
9 19
10 72
11 47
12 163
13 19
14 113
15 30
16 6
17 24
18 62
19 17
20 7

About Kenneth C. Williams

Kenneth C. Williams is a scholar working on Virology, Neurology and Emergency Medicine, having authored 117 papers that have together received 7.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (82 papers), Neuroinflammation and Neurodegeneration Mechanisms (36 papers) and HIV-related health complications and treatments (34 papers). The work is most often cited by research in Virology (3.8k citations), Neurology (2.1k citations) and Emergency Medicine (2.0k citations). Kenneth C. Williams has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Tricia H. Burdo, Andrew A. Lackner, Xavier Álvarez, Jack P. Antel, Elling Ulvestad, William F. Hickey, Susan V. Westmoreland, Steven Grinspoon, Patrick Autissier and Caroline Soulas. Their work appears in journals such as JAMA, Journal of Clinical Investigation and The Journal of Experimental 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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