Eric P. Hanson

2.0k citations
21 papers · 768 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • interferon and immune responses
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Immune Response and Inflammation 8
    • interferon and immune responses 6
    • Immunodeficiency and Autoimmune Disorders 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Immune Cell Function and Interaction 2
    • NF-κB Signaling Pathways 8

Eric P. Hanson

19 papers receiving 751 citations

Peers

Eric P. Hanson
Comparison fields: 5 of 70
  • Immunology 412
  • Oncology 287
  • Cancer Research 140
  • Pharmacology 70
  • Genetics 52
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Citations per field
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Citations per year

Countries citing papers authored by Eric P. Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. Hanson. 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 Eric P. Hanson. The network helps show where Eric P. Hanson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008159
2 1997126
3 1995120
4 1997108
5 201654
6 201849
7 200832
8 202028
9 201520
10 201119
11 201512
12 201111
13 20189
14 19868
15 20104
16 20104
17 20033
18 20131
19 20141
20 20250

About Eric P. Hanson

Eric P. Hanson is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 768 indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (8 papers), interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Hypertrophic osteoarthropathy and related conditions (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (412 citations), Oncology (287 citations), Cancer Research (140 citations), Pharmacology (70 citations) and Genetics (52 citations). Eric P. Hanson has collaborated with scholars based in United States, Austria and France. Frequent co-authors include John J. O’Shea, Jordan S. Orange, Paul S. Changelian, Min Chen, Linda Monaco-Shawver, Laura A. Solt, Pinaki P. Banerjee, Lisa A. Madge, Michael J. May and Morris F. White. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, Proceedings of the National Academy of Sciences, Frontiers in Pediatrics and Diabetes Technology & 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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