Scott Wise
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Estrogen and related hormone effects
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 16
- Chronic Myeloid Leukemia Treatments 10
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- Protein Kinase Regulation and GTPase Signaling 4
- Co-authors
- Todd Leff (2 shared papers)Michael J. Birrer (3 shared papers)Anita L. Sabichi (2 shared papers)Powel H. Brown (2 shared papers)Daniel L. Flynn (16 shared papers)Bryan D. Smith (16 shared papers)Mingfu Wang (1 shared paper)Heidi S. Camp (1 shared paper)
- Journals
- Cancer Research (13 papers)Blood (4 papers)Molecular Cancer Therapeutics (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Oncogene (3 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Scott Wise
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Hematology 163
- Genetics 125
- Oncology 265
- Cancer Research 143
- Immunology 198
Countries citing papers authored by Scott Wise
This map shows the geographic impact of Scott Wise'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 Scott Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Wise more than expected).
Fields of papers citing papers by Scott Wise
This network shows the impact of papers produced by Scott Wise. 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 Scott Wise. The network helps show where Scott Wise may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Wise, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 198 | |
| 2 | 1999 | 184 | |
| 3 | 2017 | 114 | |
| 4 | 1999 | 103 | |
| 5 | 1996 | 101 | |
| 6 | 2011 | 80 | |
| 7 | 2010 | 79 | |
| 8 | Dominant-negative mutants of cJun inhibit AP-1 activity through multiple mechanisms and with different potencies. | 1996 | 58 |
| 9 | 2021 | 46 | |
| 10 | 1955 | 36 | |
| 11 | 2016 | 32 | |
| 12 | 1998 | 31 | |
| 13 | 2010 | 27 | |
| 14 | 2012 | 25 | |
| 15 | 2008 | 24 | |
| 16 | 2022 | 24 | |
| 17 | 2007 | 22 | |
| 18 | 2010 | 15 | |
| 19 | 2011 | 14 | |
| 20 | 2015 | 13 |
About Scott Wise
Scott Wise is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (10 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Hematology (163 citations), Genetics (125 citations), Oncology (265 citations), Cancer Research (143 citations) and Immunology (198 citations). Scott Wise has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Todd Leff, Michael J. Birrer, Anita L. Sabichi, Powel H. Brown, Daniel L. Flynn, Bryan D. Smith, Mingfu Wang, Heidi S. Camp, Yanguo Hong and Lirim Shemshedini. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and Oncogene.
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.