Katie Williams

1.9k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Katie Williams is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Katie Williams has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Virology and 8 papers in Epidemiology. Recurrent topics in Katie Williams's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (5 papers). Katie Williams is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (5 papers). Katie Williams collaborates with scholars based in United States, United Kingdom and Germany. Katie Williams's co-authors include Jan Erikson, David Artis, Lisa C. Osborne, Travis A. Doering, Michael C. Abt, Michael Paley, Laurel A. Monticelli, Gregory F. Sonnenberg, Theresa Alenghat and E. John Wherry and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Katie Williams

22 papers receiving 1.4k citations

Hit Papers

Commensal Bacteria Calibrate the Activation Threshold of ... 2012 2026 2016 2021 2012 250 500 750

Peers

Katie Williams
Comparison fields: 5 of 108
  • Immunology 615
  • Molecular Biology 513
  • Infectious Diseases 376
  • Epidemiology 327
  • Virology 201
Replace Janet Robinson with:
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Stefan Schmiedel Germany
Karen Beckerman United States
Sumathi Sankaran‐Walters United States
Julia Cahenzli Switzerland
Christian Pou Spain
Ivano Mezzaroma Italy
Sara Ferrando‐Martínez Spain
Hidemi S. Yamamoto United States
Janet Robinson United States View profile →
Citations per field, relative to Katie Williams
Katie Williams · 1×
Citations per year, relative to Katie Williams
Katie Williams · 1×

Countries citing papers authored by Katie Williams

Since Specialization
Citations

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

Fields of papers citing papers by Katie Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Katie Williams. A scholar is included among the top collaborators of Katie 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 Katie Williams. Katie 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
# Work Indexed citations
1 14
2 42
3 1
4 19
5 20
6 22
7 41
8
Commensal Bacteria Calibrate the Activation Threshold of Innate Antiviral Immunity breakdown →
789
9 52
10 32
11 23
12 24
13 8
14 5
15 59
16 17
17 80
18 6
19 19
20
An association of awaruite with heazlewoodite
12

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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