M B Widmer
- Immunology top 1%
- Immune Cell Function and Interaction 12
- Immune Response and Inflammation 7
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 6
- Toxin Mechanisms and Immunotoxins 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Virology top 5%
- Hematology top 5%
- Oncology top 5%
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- Monoclonal and Polyclonal Antibodies Research 4
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- Diabetes and associated disorders 3
- Co-authors
- Hassan MadaniK M MohlerVictor FungHelmut M. SassenfeldKenneth H. GrabsteinPhilip MorrisseyFritz H. BachA E Namen
- Journals
- The Journal of Immunology (9 papers)The Journal of Experimental Medicine (4 papers)Stem Cells (2 papers)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
M B Widmer
35 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.8k
- Immunology and Allergy 159
- Virology 120
- Hematology 266
- Oncology 521
Countries citing papers authored by M B Widmer
This map shows the geographic impact of M 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 M 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 M B Widmer more than expected).
Fields of papers citing papers by M B Widmer
This network shows the impact of papers produced by M 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 M B Widmer. The network helps show where M B Widmer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M 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 | 1999 | 9 | |
| 2 | 1996 | 50 | |
| 3 | In vivo antitumor effects of unconjugated CD30 monoclonal antibodies on human anaplastic large-cell lymphoma xenografts. | 1995 | 69 |
| 4 | 1994 | 47 | |
| 5 | 1994 | 9 | |
| 6 | Soluble tumor necrosis factor (TNF) receptors are effective therapeutic agents in lethal endotoxemia and function simultaneously as both TNF carriers and TNF antagonists.breakdown → | 1993 | 686 |
| 7 | 1992 | 139 | |
| 8 | 1991 | 3 | |
| 9 | 1990 | 363 | |
| 10 | 1990 | 158 | |
| 11 | 1990 | 15 | |
| 12 | 1990 | 137 | |
| 13 | 1990 | 89 | |
| 14 | 1989 | 160 | |
| 15 | 1988 | 2 | |
| 16 | 1987 | 120 | |
| 17 | 1978 | 4 | |
| 18 | 1978 | 2 | |
| 19 | 1973 | 6 | |
| 20 | 1972 | 61 |
About M B Widmer
M B Widmer is a scholar working on Immunology, Immunology and Allergy and Hematology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Immunology (1.8k citations), Immunology and Allergy (159 citations) and Virology (120 citations). M B Widmer has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Hassan Madani, K M Mohler, Victor Fung, Helmut M. Sassenfeld, Kenneth H. Grabstein, Philip Morrissey, Fritz H. Bach, A E Namen, Mark R. Alderson and J D Watson. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Stem Cells, Blood and Transplantation.
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.