Malcolm Whitman
- Molecular Biology top 0.5%
- Developmental Biology and Gene Regulation 28
- TGF-β signaling in diseases 24
- Congenital heart defects research 20
- Renal and related cancers 8
- Protein Kinase Regulation and GTPase Signaling 7
- Viral Infectious Diseases and Gene Expression in Insects 6
- Cancer-related gene regulation 5
- Cell Biology top 0.5%
- Aging top 2%
- Oncology top 2%
- Genetics top 1%
- Virus-based gene therapy research 8
- Co-authors
- Lewis C. CantleyThomas M. RobertsTracy KellerChang‐Yeol YeoBrian SchaffhausenD. A. MeltonXin ChenCarole LaBonne
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Malcolm Whitman
81 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 8.6k
- Cell Biology 1.4k
- Aging 97
- Oncology 1.2k
- Genetics 1.2k
Countries citing papers authored by Malcolm Whitman
This map shows the geographic impact of Malcolm Whitman'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 Malcolm Whitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Whitman more than expected).
Fields of papers citing papers by Malcolm Whitman
This network shows the impact of papers produced by Malcolm Whitman. 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 Malcolm Whitman. The network helps show where Malcolm Whitman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Malcolm Whitman, 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 | 2022 | 16 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 2 | |
| 5 | 2014 | 3 | |
| 6 | 2013 | 69 | |
| 7 | 2012 | 27 | |
| 8 | 2012 | 297 | |
| 9 | 2011 | 11 | |
| 10 | 2009 | 323 | |
| 11 | 2006 | 8 | |
| 12 | 2006 | 42 | |
| 13 | 2005 | 14 | |
| 14 | 2002 | 139 | |
| 15 | 2001 | 193 | |
| 16 | 1999 | 96 | |
| 17 | 1998 | 73 | |
| 18 | 1997 | 89 | |
| 19 | 1989 | 3 | |
| 20 | 1989 | 146 |
About Malcolm Whitman
Malcolm Whitman is a scholar working on Molecular Biology, Immunology and Allergy, Cell Biology, Genetics and Cancer Research, having authored 82 papers that have together received 10.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (28 papers), TGF-β signaling in diseases (24 papers), Congenital heart defects research (20 papers), Virus-based gene therapy research (8 papers), Renal and related cancers (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Molecular Biology (8.6k citations), Cell Biology (1.4k citations), Aging (97 citations), Oncology (1.2k citations) and Genetics (1.2k citations). Malcolm Whitman has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Lewis C. Cantley, Thomas M. Roberts, Tracy Keller, Chang‐Yeol Yeo, Brian Schaffhausen, D. A. Melton, Xin Chen, Carole LaBonne, Minoru Watanabe and Marilyn L. Keeler. Their work appears in journals such as Development, Developmental Biology, Nature, Journal of Biological Chemistry and Cell.
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.