Jonathan D. Silk

2.7k citations
28 papers · 2.0k indexed · h-index 20

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 19
    • T-cell and B-cell Immunology 18
    • Immunotherapy and Immune Responses 12
    • Tryptophan and brain disorders 2

Jonathan D. Silk

27 papers receiving 2.0k citations

Peers

Jonathan D. Silk
Comparison fields: 5 of 84
  • Immunology 1.6k
  • Biological Psychiatry 52
  • Oncology 467
  • Virology 56
  • Physiology 29
Replace Brian P. Daniels with:
Brian P. Daniels United States
Michael Julius Canada
Мikhail Pashenkov Russia
Michelle N. Messmer United States
Cristiana M. Pineda United States
David L. Ennist United States
Ana M. Avalos United States
Rico Buchli United States
Mariana Puntel United States
Christine Martens United States
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Citations per field
00.5×1.5×1.8×
Brian P. Daniels · 1×
Citations per year

Countries citing papers authored by Jonathan D. Silk

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Silk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Silk. 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 Jonathan D. Silk. The network helps show where Jonathan D. Silk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20201
3 201647
4 201173
5 201152
6 201041
7 201011
8 200919
9 200922
10 200862
11 2008264
12 200768
13 20053
14 200530
15 200414
16 2004142
17 200375
18 2003383
19 2003135
20 2001111

About Jonathan D. Silk

Jonathan D. Silk is a scholar working on Immunology, Biological Psychiatry, Oncology, Physiology and Hematology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (18 papers), Immunotherapy and Immune Responses (12 papers), CAR-T cell therapy research (7 papers), Tryptophan and brain disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Bipolar Disorder and Treatment (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Immunology (1.6k citations), Biological Psychiatry (52 citations), Oncology (467 citations), Virology (56 citations) and Physiology (29 citations). Jonathan D. Silk has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Vincenzo Cerundolo, Mariolina Salio, Uzi Gileadi, Ian F. Hermans, E. Yvonne Jones, Richard R. Schmidt, Bini Mathew, Adrian L. Harris, Gerd Ritter and Lloyd J. Old. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, Molecular Pharmacology, Molecular Immunology and Blood.

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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