Stephen L. Abrams
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 23
- Melanoma and MAPK Pathways 10
- Oncology 30
- Cancer-related Molecular Pathways 20
- Cancer Cells and Metastasis 7
- Co-authors
- James A. McCubrey (57 shared papers)Linda S. Steelman (56 shared papers)Alberto M. Martelli (44 shared papers)Massimo Libra (36 shared papers)William H. Chappell (26 shared papers)Jörg Bäsecke (12 shared papers)Franca Stivala (11 shared papers)Richard A. Franklin (10 shared papers)
- Journals
- Advances in Biological Regulation (18 papers)Cell Cycle (7 papers)Leukemia (6 papers)Oncotarget (5 papers)Cells (4 papers)
- Partner nations
- United StatesItalyPoland
In The Last Decade
Stephen L. Abrams
91 papers receiving 5.3k citations
Stephen L. Abrams's Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 827
- Oncology 1.4k
- Molecular Biology 3.1k
- Hematology 416
- Pathology and Forensic Medicine 421
Countries citing papers authored by Stephen L. Abrams
This map shows the geographic impact of Stephen L. Abrams'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 Stephen L. Abrams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Abrams more than expected).
Fields of papers citing papers by Stephen L. Abrams
This network shows the impact of papers produced by Stephen L. Abrams. 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 Stephen L. Abrams. The network helps show where Stephen L. Abrams may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen L. Abrams, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Roles of the Raf/MEK/ERK pathway in cell growth, malignant transformation and drug resistance Hit paper breakdown → | 2006 | 1865 |
| 2 | 2008 | 303 | |
| 3 | 2013 | 223 | |
| 4 | 2011 | 205 | |
| 5 | 2020 | 203 | |
| 6 | 2011 | 165 | |
| 7 | 2011 | 137 | |
| 8 | 2015 | 118 | |
| 9 | 2010 | 105 | |
| 10 | 2014 | 103 | |
| 11 | 2016 | 99 | |
| 12 | 2012 | 91 | |
| 13 | 2016 | 88 | |
| 14 | 2015 | 87 | |
| 15 | 2013 | 75 | |
| 16 | 2019 | 73 | |
| 17 | 2011 | 70 | |
| 18 | 2006 | 68 | |
| 19 | 2011 | 68 | |
| 20 | 2008 | 65 |
About Stephen L. Abrams
Stephen L. Abrams is a scholar working on Molecular Biology, Oncology, Information Systems, Conservation and Information Systems and Management, having authored 95 papers that have together received 5.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (23 papers), Cancer-related Molecular Pathways (20 papers), Research Data Management Practices (15 papers), Digital and Traditional Archives Management (14 papers), Scientific Computing and Data Management (12 papers), Melanoma and MAPK Pathways (10 papers), Digital Humanities and Scholarship (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Cancer Research (827 citations), Oncology (1.4k citations), Molecular Biology (3.1k citations), Hematology (416 citations) and Pathology and Forensic Medicine (421 citations). Stephen L. Abrams has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include James A. McCubrey, Linda S. Steelman, Alberto M. Martelli, Massimo Libra, William H. Chappell, Jörg Bäsecke, Franca Stivala, Richard A. Franklin, Camilla Evangelisti and Michèle Milella. Their work appears in journals such as Advances in Biological Regulation, Cell Cycle, Leukemia, Oncotarget and Cells.
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.