Jonathan D. Silk

2.7k citations
29 papers · 2.1k · 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 20
    • T-cell and B-cell Immunology 17
    • Immunotherapy and Immune Responses 13
    • CAR-T cell therapy research 7

Jonathan D. Silk

27 papers receiving 2.1k citations

Peers

Jonathan D. Silk
Comparison fields: 5 of 84
  • Immunology 1.6k
  • Biological Psychiatry 53
  • Oncology 466
  • Virology 53
  • Epidemiology 217
Replace Brian P. Daniels with:
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Michael Julius Canada
Мikhail Pashenkov Russia
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Citations per field
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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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003394
2 2008275
3 2014211
4 2004147
5 2003139
6 2001119
7 2006109
8 200376
9 201173
10 200771
11 200868
12 201267
13 201154
14 201649
15 201144
16 200844
17 201043
18 200529
19 200923
20 200921

About Jonathan D. Silk

Jonathan D. Silk is a scholar working on Immunology, Oncology, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (17 papers), Immunotherapy and Immune Responses (13 papers), CAR-T cell therapy research (7 papers), Neuroscience and Neuropharmacology Research (2 papers), Tryptophan and brain disorders (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Immunology (1.6k citations), Biological Psychiatry (53 citations), Oncology (466 citations), Virology (53 citations) and Epidemiology (217 citations). Jonathan D. Silk has collaborated with scholars based in United Kingdom, Germany and United States. 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, Molecular Pharmacology, Blood, Molecular Immunology and Journal of Clinical Investigation.

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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