Brian E. Castle

1.4k citations
16 papers · 1.3k · h-index 12

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Response and Inflammation 1
    • Cytokine Signaling Pathways and Interactions 4

Brian E. Castle

16 papers receiving 1.1k citations

Peers

Brian E. Castle
Comparison fields: 5 of 65
  • Immunology 530
  • Oncology 337
  • Virology 36
  • Transplantation 12
  • Rheumatology 49
Replace Regula Stuber Roos with:
Regula Stuber Roos Switzerland
Joan M. G. Sechler United States
Dina G. Fischer Israel
S Gillis United States
Seigo Terawaki Japan
Dario M. Magaletti United States
Jacqueline Kennedy United States
Arumugavadivel Narendran Canada
H. E. Ramsey United States
Anne-Marie Rousseau United States
Brian E. Castle relative to Regula Stuber Roos Switzerland Regula Stuber Roos's profile →
Citations per field
00.5×1.5×2×2.4×
Regula Stuber Roos · 1×
Citations per year

Countries citing papers authored by Brian E. Castle

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Castle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Castle. 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 Brian E. Castle. The network helps show where Brian E. Castle may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1990440
2 1988221
3 1993141
4 1990103
5 200179
6 199472
7 199569
8 199039
9 199437
10 198432
11 200522
12 198415
13 198512
14 19875
15 19914
16 19923

About Brian E. Castle

Brian E. Castle is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Nuclear Energy and Engineering, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Prion Diseases and Protein Misfolding (4 papers), Sphingolipid Metabolism and Signaling (1 paper), Immune Response and Inflammation (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (530 citations), Oncology (337 citations), Virology (36 citations), Transplantation (12 citations) and Rheumatology (49 citations). Brian E. Castle has collaborated with scholars based in United States and Australia. Frequent co-authors include Marilyn R. Kehry, M Howard, Tim R. Mosmann, Rob A. KASTELEIN, Ning Fei Go, Kevin W. Moore, Jolanda Schreurs, Kenji Kishimoto, Maryanne L. Brown and John W. Lowenthal. Their work appears in journals such as Journal of General Virology, The Journal of Immunology, European Journal of Immunology, Seminars in Immunology and International Immunology.

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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