Ian Harmon

531 citations
7 papers · 383 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Cytokine Signaling Pathways and Interactions
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • Immunodeficiency and Autoimmune Disorders 2
    • RNA modifications and cancer 1
    • RNA regulation and disease 1

Ian Harmon

7 papers receiving 382 citations

Peers

Ian Harmon
Comparison fields: 5 of 53
  • Immunology 293
  • Oncology 110
  • Hematology 32
  • Cancer Research 25
  • Genetics 17
Replace T Liu with:
T Liu United States
Yasuaki Yamada Japan
Benyam Asefa United States
Inge Hoebeke Belgium
Jukka Alinikula Finland
Stefanie Scherer Germany
G Weil-Hillman United States
Allyson Sholl United States
Ruduan Wang United States
Carina Olsson Switzerland
Ian Harmon relative to T Liu United States T Liu's profile →
Citations per field
00.5×1.5×2.2×
T Liu · 1×
Citations per year

Countries citing papers authored by Ian Harmon

Since Specialization
Citations

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

Fields of papers citing papers by Ian Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Harmon. 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 Ian Harmon. The network helps show where Ian Harmon may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2003170
2 2004117
3 200543
4 201830
5 200714
6 20068
7 20071

About Ian Harmon

Ian Harmon is a scholar working on Immunology, Molecular Biology, Hematology, Genetics and Infectious Diseases, having authored 7 papers that have together received 383 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 (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Diabetes and associated disorders (1 paper), RNA modifications and cancer (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Immunology (293 citations), Oncology (110 citations), Hematology (32 citations), Cancer Research (25 citations) and Genetics (17 citations). Ian Harmon has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Christine Goetz, Matthew A. Burchill, Michael A. Farrar, Steven J. Bensinger, Laurence A. Turka, Paul Brennan, Stephen C. Jameson, Martin Prlic, Tanner M. Johanns and Ryo Murakami. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology and Molecular and Cellular 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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