Jesse E. Jun

733 citations
9 papers · 620 · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ubiquitin and proteasome pathways 1

Jesse E. Jun

9 papers receiving 611 citations

Peers

Jesse E. Jun
Comparison fields: 5 of 60
  • Immunology 404
  • Cancer Research 161
  • Immunology and Allergy 31
  • Oncology 94
  • Molecular Biology 244
Replace Edyta M Kucharska with:
Edyta M Kucharska Australia
Steve Eliason United States
Haili Cui United States
Ann J. Canonigo-Balancio United States
Xiaochuan Shan United States
Mahdhia Soula-Rothhut France
Andreas Wicovsky Germany
Piao Lo United States
Jennifer Müller Germany
Tammy P. Cheng United States
Jesse E. Jun relative to Edyta M Kucharska Australia Edyta M Kucharska's profile →
Citations per field
00.5×1.5×
Edyta M Kucharska · 1×
Citations per year

Countries citing papers authored by Jesse E. Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jesse E. Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2003259
2 200389
3 200079
4 201354
5 200648
6 201645
7 201317
8 201916
9 201813

About Jesse E. Jun

Jesse E. Jun is a scholar working on Immunology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Hematology, having authored 9 papers that have together received 620 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (404 citations), Cancer Research (161 citations), Immunology and Allergy (31 citations), Oncology (94 citations) and Molecular Biology (244 citations). Jesse E. Jun has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Christopher C. Goodnow, Jeroen P. Roose, Lisa A. Miosge, Mathieu Bléry, Ignacio Rubio, Lauren E. Wilson, Nancy A. Hong, Richard Glynne, Josef Penninger and Keats Nelms. Their work appears in journals such as The Journal of Experimental Medicine, Frontiers in Immunology, Nature Immunology, Molecular and Cellular Biology and Nature Structural & Molecular Biology.

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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