M Bowman
Impact in
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- Cancer Cells and Metastasis
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- Skin and Cellular Biology Research
Papers in
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- Glycosylation and Glycoproteins Research 5
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 4
- Cancer Cells and Metastasis 4
- Co-authors
- Renato Dulbecco (9 shared papers)Michael Unger (2 shared papers)Seiji Okada (2 shared papers)Peter M. Syka (3 shared papers)Allen Wr (2 shared papers)Mauro Bologna (1 shared paper)John F. Modlin (1 shared paper)Hector Battifora (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Virology (1 paper)The Journal of Infectious Diseases (1 paper)PubMed (3 papers)
- Partner nations
- United States
In The Last Decade
M Bowman
12 papers receiving 352 citations
Peers
Comparison fields: 5 of 61
- Oncology 149
- Cell Biology 93
- Virology 21
- Immunology and Allergy 26
- Molecular Biology 202
Countries citing papers authored by M Bowman
This map shows the geographic impact of M Bowman'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 Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Bowman more than expected).
Fields of papers citing papers by M Bowman
This network shows the impact of papers produced by M Bowman. 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 Bowman. The network helps show where M Bowman may publish in the future.
Co-authors
The 14 scholars most cited alongside M Bowman, 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 | 1981 | 74 | |
| 2 | 1983 | 61 | |
| 3 | Marker evolution during the development of the rat mammary gland: stem cells identified by markers and the role of myoepithelial cells. | 1986 | 59 |
| 4 | 1983 | 47 | |
| 5 | 1990 | 40 | |
| 6 | 1984 | 35 | |
| 7 | Two monoclonal antibodies selective for human mammary carcinoma. | 1985 | 25 |
| 8 | 1987 | 24 | |
| 9 | Distribution of developmental markers in rat mammary tumors induced by N-nitrosomethylurea. | 1986 | 17 |
| 10 | 1984 | 15 | |
| 11 | 1984 | 7 | |
| 12 | 1987 | 3 |
About M Bowman
M Bowman is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Cell Biology, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Cancer Cells and Metastasis (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Skin and Cellular Biology Research (2 papers), Silk-based biomaterials and applications (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Oncology (149 citations), Cell Biology (93 citations), Virology (21 citations), Immunology and Allergy (26 citations) and Molecular Biology (202 citations). M Bowman has collaborated with scholars based in United States. Frequent co-authors include Renato Dulbecco, Michael Unger, Seiji Okada, Peter M. Syka, Allen Wr, Mauro Bologna, John F. Modlin, Hector Battifora, Stuart L. Schreiber and Steven J. Burakoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, The Journal of Infectious Diseases and PubMed.
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.