Joel E. Tocker

3.1k citations
33 papers · 2.7k · h-index 21

Impact in

  • Immunology top 2%
    • IL-33, ST2, and ILC Pathways
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
  • Physiology top 5%
    • Asthma and respiratory diseases

Papers in

    • Asthma and respiratory diseases 9
    • Cytokine Signaling Pathways and Interactions 3

Joel E. Tocker

33 papers receiving 2.6k citations

Peers

Joel E. Tocker
Comparison fields: 5 of 70
  • Immunology 566
  • Physiology 387
  • Immunology and Allergy 72
  • Rheumatology 164
  • Hematology 141
Replace Manuel Rubio with:
Manuel Rubio Canada
IG Young Australia
Atsushi Onodera Japan
Adele Hartnell United Kingdom
Arifumi Iwata Japan
Susan J Stafford United States
Louis M. Renzetti United States
Junichi Yata Japan
Cynthia J. Watson United States
Jean‐Marie Derocq France
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Citations per field
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Citations per year

Countries citing papers authored by Joel E. Tocker

Since Specialization
Citations

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

Fields of papers citing papers by Joel E. Tocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006496
2 2010473
3 2008287
4 2007155
5 2010152
6 2015152
7 2007141
8 201797
9 199671
10 200860
11 199256
12 201556
13 201848
14 199447
15 200446
16 200945
17 200942
18 200741
19 201037
20 198732

About Joel E. Tocker

Joel E. Tocker is a scholar working on Physiology, Oncology, Rheumatology, Hematology and Immunology, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), Cytokine Signaling Pathways and Interactions (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Bioinformatics and Genomic Networks (1 paper), Food Allergy and Anaphylaxis Research (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Computational Drug Discovery Methods (1 paper) and Phytochemical Studies and Bioactivities (1 paper). The work is most often cited by research in Immunology (566 citations), Physiology (387 citations), Immunology and Allergy (72 citations), Rheumatology (164 citations) and Hematology (141 citations). Joel E. Tocker has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include David Swart, David G. Kugler, Alison Budelsky, Jonathan M.J. Derry, Dean Y. Toy, Jacques J. Peschon, Tim Vanden Bos, Martin F. Wolfson, Jesse L. Gurgel and William M. Selig. Their work appears in journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology, Blood, Cytokine and Journal of Pharmacology and Experimental Therapeutics.

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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