Jonathan M. Eby

1.2k citations
30 papers · 968 · h-index 17

Impact in

    • melanin and skin pigmentation
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • melanin and skin pigmentation 11
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 5

Jonathan M. Eby

30 papers receiving 949 citations

Peers

Jonathan M. Eby
Comparison fields: 5 of 56
  • Cell Biology 500
  • Immunology 165
  • Oncology 186
  • Dermatology 22
  • Molecular Biology 117
Replace Takenao Chino with:
Takenao Chino Japan
Yutaka Hozumi Japan
Hans-Christian Hennies Germany
Laxmi S. Rao United States
Catherine C. Matte-Martone United States
Lin Gao China
T A Chipysheva Russia
Sally D. Pennypacker United States
Raj S. Mitra United States
Dalia Gilat Israel
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Citations per field
00.5×2×4×5.9×
Takenao Chino · 1×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013116
2 201398
3 201579
4 201569
5 202069
6 201363
7 201363
8 201244
9 201644
10 201741
11 201836
12 201434
13 201729
14 201821
15 201718
16 201117
17 202017
18 201615
19 201715
20 201314

About Jonathan M. Eby

Jonathan M. Eby is a scholar working on Cell Biology, Immunology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 30 papers that have together received 968 indexed citations. Recurring topics across this work include melanin and skin pigmentation (11 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers), Chemokine receptors and signaling (5 papers), Receptor Mechanisms and Signaling (3 papers), Alcohol Consumption and Health Effects (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Cell Biology (500 citations), Immunology (165 citations), Oncology (186 citations), Dermatology (22 citations) and Molecular Biology (117 citations). Jonathan M. Eby has collaborated with scholars based in United States, Netherlands and Lithuania. Frequent co-authors include I. Caroline Le Poole, Shikhar Mehrotra, Jeffrey A. Mosenson, Shilpak Chatterjee, Claudia Hernandez, Michael I. Nishimura, Hee-Kap Kang, Jared S. Klarquist, Matthias Majetschak and Rebecca C. Tung. Their work appears in journals such as Pigment Cell & Melanoma Research, Journal of Investigative Dermatology, PLoS ONE, Experimental Dermatology and Cancer Immunology Immunotherapy.

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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