K A Brown

3.4k citations
69 papers · 2.6k · h-index 24

Impact in

Papers in

K A Brown

67 papers receiving 2.5k citations

Peers

K A Brown
Comparison fields: 5 of 140
  • Behavioral Neuroscience 136
  • Immunology and Allergy 147
  • Immunology 451
  • Genetics 180
  • Cellular and Molecular Neuroscience 295
Replace Kenneth G. Warren with:
Kenneth G. Warren Canada
Osamu Tanizawa Japan
W. M. H. Behan United Kingdom
Michael J. Waters Australia
Elisabeth Weber Switzerland
Jürgen Westermann Germany
Jon W. Lomasney United States
Barry G.W. Arnason United States
Anthony T. Reder United States
Katsuiku Hirokawa Japan
K A Brown relative to Kenneth G. Warren Canada Kenneth G. Warren's profile →
Citations per field
00.5×1.5×2.1×
Kenneth G. Warren · 1×
Citations per year

Countries citing papers authored by K A Brown

Since Specialization
Citations

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

Fields of papers citing papers by K A Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K A Brown. 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 K A Brown. The network helps show where K A Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000489
2 1991279
3 1995232
4 1996138
5 1998131
6 199594
7 200191
8 198880
9 198568
10 199565
11 199164
12 198862
13 199062
14 199347
15 196546
16 201545
17 197644
18 199243
19 197243
20 197638

About K A Brown

K A Brown is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology and Hematology, having authored 69 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Immune Response and Inflammation (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cardiac Imaging and Diagnostics (7 papers), Platelet Disorders and Treatments (6 papers), Sepsis Diagnosis and Treatment (5 papers), Immunotherapy and Immune Responses (5 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Behavioral Neuroscience (136 citations), Immunology and Allergy (147 citations), Immunology (451 citations), Genetics (180 citations) and Cellular and Molecular Neuroscience (295 citations). K A Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Iain Johnson, Katrina Gee, Christopher G. McCusker, D. C. Dumonde, David Treacher, Roy V. Ditchey, R.J. Rodgers, M. G. Macey, Cornelius A. Watson and Thomas C. Pearson. Their work appears in journals such as Clinical & Experimental Immunology, Annals of the Rheumatic Diseases, Inflammation Research, Blood and Journal of Immunological Methods.

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.

Explore authors with similar magnitude of impact