Michael J. Dee

408 citations
11 papers · 338 · h-index 10

Impact in

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

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 1
    • Telomeres, Telomerase, and Senescence 2

Michael J. Dee

11 papers receiving 326 citations

Peers

Michael J. Dee
Comparison fields: 5 of 46
  • Immunology 228
  • Oncology 52
  • Physiology 26
  • Aging 1
  • Virology 2
Replace Lucas Ezequiel Rossi with:
Lucas Ezequiel Rossi Argentina
Andreas Obers Australia
Rayna Takaki United States
Kahn Preece Australia
Maria Teresa Perez Soler Switzerland
Edith Schussler United States
Nurhan Kasap Türkiye
Joanna Hård Sweden
Rich-Henry Schabowsky United States
Trevor J. Cunningham United States
Michael J. Dee relative to Lucas Ezequiel Rossi Argentina Lucas Ezequiel Rossi's profile →
Citations per field
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Lucas Ezequiel Rossi · 1×
Citations per year

Countries citing papers authored by Michael J. Dee

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Dee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Dee. 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 Michael J. Dee. The network helps show where Michael J. Dee may publish in the future.

Co-authors

The 23 scholars most cited alongside Michael J. Dee, 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 Michael J. Dee Line = papers co-authored together Michael J. Dee links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201376
2 202162
3 201159
4 201626
5 202226
6 202325
7 201219
8 201417
9 201712
10 201411
11 20245

About Michael J. Dee

Michael J. Dee is a scholar working on Immunology, Physiology, Oncology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Immunotherapy and Immune Responses (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (228 citations), Oncology (52 citations), Physiology (26 citations), Aging (1 citation) and Virology (2 citations). Michael J. Dee has collaborated with scholars based in United States. Frequent co-authors include Thomas R. Malek, Aixin Yu, Iris Castro, Guoyan Cheng, Xiaomei Yuan, Norman H. Altman, Kevin H. Toomer, Connor J. Dwyer, Robert B. Levy and Eckhard R. Podack. Their work appears in journals such as The Journal of Immunology, Blood, Cancer Immunology Immunotherapy, Cancer Immunology Research and Molecular Therapy.

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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