David E. Hamm

1.8k citations
37 papers · 1.4k · h-index 23

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Dermatology and Skin Diseases

Papers in

    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 5
    • Immunodeficiency and Autoimmune Disorders 4
    • Chronic Lymphocytic Leukemia Research 3

David E. Hamm

37 papers receiving 1.4k citations

Peers

David E. Hamm
Comparison fields: 5 of 104
  • Immunology 730
  • Dermatology 133
  • Oncology 296
  • Hepatology 78
  • Genetics 79
Replace Manabu Nonaka with:
Manabu Nonaka Japan
Julie M. Le United States
Baogui Li United States
Thomas Heinicke Germany
Tracy Doan Australia
D. Canioni France
K Kikuchi Japan
Tariq Akhtar Khan Australia
Wei Yin China
Masaaki Kosaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by David E. Hamm

Since Specialization
Citations

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

Fields of papers citing papers by David E. Hamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017244
2 201899
3 201384
4 201479
5 200078
6 201574
7 201669
8 201660
9 201658
10 201554
11 201850
12 201542
13 201739
14 201338
15 201435
16 201534
17 201932
18 201832
19 201532
20 201430

About David E. Hamm

David E. Hamm is a scholar working on Immunology, Genetics, Oncology, Hematology and Transplantation, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Fish Ecology and Management Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (730 citations), Dermatology (133 citations), Oncology (296 citations), Hepatology (78 citations) and Genetics (79 citations). David E. Hamm has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Harlan S. Robins, Ronald S. Burton, James G. Krueger, John T. O’Malley, Rachael A. Clark, Elizabeth L. Lowry, Tiago R. Matos, Thomas Seth Kupper, Ilan Richard Kirsch and Idania Marrero. Their work appears in journals such as The Journal of Immunology, Transplantation and Cellular Therapy, Journal of Clinical Investigation, Molecular Immunology and PLoS ONE.

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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