Michael B. Widmer
- Immunology top 1%
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 12
- Immune Response and Inflammation 9
- Rheumatology top 1%
- Hematology top 2%
- Immunology and Allergy top 5%
- Oncology top 5%
- CAR-T cell therapy research 4
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- Monoclonal and Polyclonal Antibodies Research 6
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- RNA Interference and Gene Delivery 4
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- Medical and Health Sciences Research 2
- Co-authors
- Fritz H. BachScott W. BaumgartnerConsuelo BloschElizabeth A. TindallMichael SchiffRoy FleischmannLarry W. MorelandArthur L. Weaver
- Cited by
- ImmunologyRheumatologyHematology
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Michael B. Widmer
34 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 2.1k
- Rheumatology 776
- Hematology 513
- Immunology and Allergy 169
- Oncology 686
Countries citing papers authored by Michael B. Widmer
This map shows the geographic impact of Michael B. Widmer'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 B. Widmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Widmer more than expected).
Fields of papers citing papers by Michael B. Widmer
This network shows the impact of papers produced by Michael B. Widmer. 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 B. Widmer. The network helps show where Michael B. Widmer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael B. Widmer, 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 | 2023 | 0 | |
| 2 | 2020 | 11 | |
| 3 | 2019 | 1 | |
| 4 | 2015 | 1 | |
| 5 | Treatment of Rheumatoid Arthritis with a Recombinant Human Tumor Necrosis Factor Receptor (p75)–Fc Fusion Proteinbreakdown → | 1997 | 1285 |
| 6 | 1996 | 26 | |
| 7 | 1995 | 24 | |
| 8 | 1995 | 25 | |
| 9 | 1992 | 169 | |
| 10 | 1990 | 9 | |
| 11 | 1990 | 5 | |
| 12 | 1990 | 205 | |
| 13 | 1988 | 5 | |
| 14 | 1987 | 168 | |
| 15 | 1987 | 34 | |
| 16 | 1986 | 2 | |
| 17 | 1978 | 6 | |
| 18 | 1972 | 8 | |
| 19 | 1972 | 36 | |
| 20 | 1972 | 243 |
About Michael B. Widmer
Michael B. Widmer is a scholar working on Immunology, Religious studies, Transplantation, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 37 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (12 papers), Immune Response and Inflammation (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (4 papers) and Medical and Health Sciences Research (2 papers). The work is most often cited by research in Immunology (2.1k citations), Rheumatology (776 citations), Hematology (513 citations), Immunology and Allergy (169 citations) and Oncology (686 citations). Michael B. Widmer has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Fritz H. Bach, Scott W. Baumgartner, Consuelo Blosch, Elizabeth A. Tindall, Michael Schiff, Roy Fleischmann, Larry W. Moreland, Arthur L. Weaver, William J. Koopman and Kendall M. Mohler. Their work appears in journals such as Transplantation, Science, Nature, The Journal of Experimental Medicine and Immunological Reviews.
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.