Michael C. Deeds
Impact in
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- Natural Antidiabetic Agents Studies
- Diabetes Management and Research
- Diet, Metabolism, and Disease
Papers in
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- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- Oncology 5
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Yogish C. Kudva (5 shared papers)Adam S. Armstrong (7 shared papers)Norman L. Eberhardt (2 shared papers)Jill Anderson (2 shared papers)Arshad Jahangir (1 shared paper)Dennis A. Gastineau (5 shared papers)Henry J. Hiddinga (1 shared paper)Toshie Sakuma (3 shared papers)
- Journals
- Cytotherapy (6 papers)Journal for ImmunoTherapy of Cancer (2 papers)Stem Cell Research & Therapy (1 paper)Transplantation (1 paper)Laboratory Animals (1 paper)
- Partner nations
- United States
In The Last Decade
Michael C. Deeds
16 papers receiving 791 citations
Michael C. Deeds's Hit Papers
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 202
- Transplantation 15
- Drug Discovery 1
- Surgery 213
- Aging 8
Countries citing papers authored by Michael C. Deeds
This map shows the geographic impact of Michael C. Deeds'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 C. Deeds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Deeds more than expected).
Fields of papers citing papers by Michael C. Deeds
This network shows the impact of papers produced by Michael C. Deeds. 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 C. Deeds. The network helps show where Michael C. Deeds may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Deeds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single dose streptozotocin-induced diabetes: considerations for study design in islet transplantation models Hit paper breakdown → | 2011 | 485 |
| 2 | 2020 | 76 | |
| 3 | 2012 | 76 | |
| 4 | 2010 | 50 | |
| 5 | 2013 | 42 | |
| 6 | 2011 | 30 | |
| 7 | 2017 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2007 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2004 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2014 | 0 |
About Michael C. Deeds
Michael C. Deeds is a scholar working on Immunology, Oncology, Genetics, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 801 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Pancreatic function and diabetes (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (202 citations), Transplantation (15 citations), Drug Discovery (1 citation), Surgery (213 citations) and Aging (8 citations). Michael C. Deeds has collaborated with scholars based in United States. Frequent co-authors include Yogish C. Kudva, Adam S. Armstrong, Norman L. Eberhardt, Jill Anderson, Arshad Jahangir, Dennis A. Gastineau, Henry J. Hiddinga, Toshie Sakuma, Yasuhiro Ikeda and Seiga Ohmine. Their work appears in journals such as Cytotherapy, Journal for ImmunoTherapy of Cancer, Stem Cell Research & Therapy, Transplantation and Laboratory Animals.
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.