William G. Kerr

6.8k total citations · 2 hit papers
109 papers, 5.2k citations indexed

About

William G. Kerr is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, William G. Kerr has authored 109 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Immunology, 45 papers in Molecular Biology and 25 papers in Hematology. Recurrent topics in William G. Kerr's work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (26 papers) and PI3K/AKT/mTOR signaling in cancer (23 papers). William G. Kerr is often cited by papers focused on Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (26 papers) and PI3K/AKT/mTOR signaling in cancer (23 papers). William G. Kerr collaborates with scholars based in United States, France and Netherlands. William G. Kerr's co-authors include Leonard A. Herzenberg, Steve Fiering, Philippe Soriano, Akira Imamoto, Brian Zambrowicz, John D. Chisholm, Richard Jove, Hua Yu, James J. Mulé and Kim H.T. Paraiso and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

William G. Kerr

102 papers receiving 5.1k citations

Hit Papers

Inhibiting Stat3 signaling in the hematopoietic system el... 1997 2026 2006 2016 2005 1997 250 500 750

Peers

William G. Kerr
Comparison fields: 5 of 119
  • Immunology 2.4k
  • Molecular Biology 2.3k
  • Oncology 1.2k
  • Hematology 650
  • Genetics 499
Replace Jason A. Hackney with:
Jason A. Hackney United States
Yong-Rui Zou United States
Michelle L. Hermiston United States
Richard A. Maki United States
Klaus‐Peter Knobeloch Germany
Kris A. Reedquist Netherlands
Ted Yednock United States
Michel Aurrand‐Lions France
Holger Karsunky United States
Friedemann Kiefer Germany
Jason A. Hackney United States View profile →
Citations per field, relative to William G. Kerr
William G. Kerr · 1×
Citations per year, relative to William G. Kerr
William G. Kerr · 1×

Countries citing papers authored by William G. Kerr

Since Specialization
Citations

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

Fields of papers citing papers by William G. Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Kerr. 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 William G. Kerr. The network helps show where William G. Kerr may publish in the future.

Co-authorship network of co-authors of William G. Kerr

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Kerr. A scholar is included among the top collaborators of William G. Kerr 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 William G. Kerr. William G. Kerr 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 0
2 2
3 8
4 4
5 5
6 31
7 26
8 18
9 107
10 23
11 51
12 57
13 42
14 13
15 30
16 87
17 31
18 138
19 80
20 37

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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