Neil Williams

5.2k citations
155 papers · 4.0k indexed · h-index 34

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
  • Immunology top 1%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Escherichia coli research studies 19
    • Immunotherapy and Immune Responses 31
    • Immune Cell Function and Interaction 27
    • T-cell and B-cell Immunology 24
    • Immune Response and Inflammation 21

Neil Williams

151 papers receiving 3.9k citations

Peers

Neil Williams
Comparison fields: 5 of 177
  • Endocrinology 533
  • Immunology 1.6k
  • Microbiology 270
  • Epidemiology 804
  • Virology 107
Replace John Welsh with:
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Neil Williams relative to John Welsh United States John Welsh's profile →
Citations per field
00.5×2.6×
John Welsh · 1×
Citations per year

Countries citing papers authored by Neil Williams

Since Specialization
Citations

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

Fields of papers citing papers by Neil Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20226
4 20223
5 202127
6 202112
7 202116
8
Science Operations with the InSight WebGIS
20191
9 20129
10 201125
11 201017
12 200921
13 200828
14 200540
15 200527
16 200336
17 200233
18 19951
19
The impact of distributed multimedia systems on computer support for co-operative work
19942
20 1991106

About Neil Williams

Neil Williams is a scholar working on Endocrinology, Immunology, Microbiology, Epidemiology and Virology, having authored 155 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (31 papers), Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (24 papers), Immune Response and Inflammation (21 papers), Escherichia coli research studies (19 papers), Pneumonia and Respiratory Infections (17 papers), Herpesvirus Infections and Treatments (12 papers) and Bacterial Infections and Vaccines (10 papers). The work is most often cited by research in Endocrinology (533 citations), Immunology (1.6k citations), Microbiology (270 citations), Epidemiology (804 citations) and Virology (107 citations). Neil Williams has collaborated with scholars based in United Kingdom, Malawi and United States. Frequent co-authors include Timothy R. Hirst, Toufic O. Nashar, T. J. Hill, Robert S. Heyderman, A.J. Dobbs, C. Shimeld, A.D. Wilson, D L Easty, D. N. BROOKE and Michael Bailey. Their work appears in journals such as The Journal of Infectious Diseases, Immunology, The Journal of Immunology, PLoS ONE and Infection and Immunity.

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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