Jonathan M. Eby

1.1k citations
32 papers · 796 · h-index 15

Impact in

    • melanin and skin pigmentation
  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • T-cell and B-cell Immunology 9
    • Atherosclerosis and Cardiovascular Diseases 4
    • Immunotherapy and Immune Responses 4
    • Receptor Mechanisms and Signaling 4
    • Heat shock proteins research 3

Jonathan M. Eby

32 papers receiving 784 citations

Peers

Jonathan M. Eby
Comparison fields: 5 of 73
  • Cell Biology 445
  • Immunology 453
  • Dermatology 101
  • Sensory Systems 37
  • Oncology 175
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Eby

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Eby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 201383
3 201566
4 201562
5 202057
6 201357
7 201352
8 201636
9 201235
10 201831
11 201428
12 201727
13 201821
14 201717
15 201714
16 201113
17 202013
18 201613
19 201311
20 201810

About Jonathan M. Eby

Jonathan M. Eby is a scholar working on Immunology, Molecular Biology, Oncology, Cell Biology and Physiology, having authored 32 papers that have together received 796 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), melanin and skin pigmentation (9 papers), CAR-T cell therapy research (4 papers), Receptor Mechanisms and Signaling (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Immunotherapy and Immune Responses (4 papers), Chemokine receptors and signaling (4 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Cell Biology (445 citations), Immunology (453 citations), Dermatology (101 citations), Sensory Systems (37 citations) and Oncology (175 citations). Jonathan M. Eby has collaborated with scholars based in United States, Netherlands and Czechia. Frequent co-authors include I. Caroline Le Poole, Shikhar Mehrotra, Jeffrey Mosenson, Shilpak Chatterjee, Claudia Hernandez, Michael I. Nishimura, Matthias Majetschak, Jared Klarquist, Rebecca Tung and Hee-Kap Kang. Their work appears in journals such as Pigment Cell & Melanoma Research, Journal of Investigative Dermatology, Alcoholism Clinical and Experimental Research, Experimental Dermatology and Journal of Cystic Fibrosis.

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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