David K. Strom
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
- Oncology 10
- Cancer-related Molecular Pathways 9
-
- Cancer Research and Treatments 3
- Co-authors
- Jun‐ya KatoCharles J. SherrMartine F. RousselSteven K. HanksHitoshi MatsushimeMark E. EwenScott W. HiebertJohn Nip
- Journals
- Molecular and Cellular Biology (5 papers)Journal of Biological Chemistry (3 papers)Journal of Neurochemistry (2 papers)The FASEB Journal (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
David K. Strom
16 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 1.2k
- Cell Biology 391
- Molecular Biology 1.5k
- Hematology 236
- Cancer Research 200
Countries citing papers authored by David K. Strom
This map shows the geographic impact of David K. Strom'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 David K. Strom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Strom more than expected).
Fields of papers citing papers by David K. Strom
This network shows the impact of papers produced by David K. Strom. 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 David K. Strom. The network helps show where David K. Strom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David K. Strom, 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 | 2023 | 0 | |
| 2 | 2020 | 1 | |
| 3 | 2001 | 34 | |
| 4 | 2001 | 270 | |
| 5 | 2000 | 91 | |
| 6 | E2F-1 and E2F-3 are functionally distinct in their ability to promote myeloid cell cycle progression and block granulocyte differentiation. | 1998 | 42 |
| 7 | 1997 | 89 | |
| 8 | 1996 | 27 | |
| 9 | 1995 | 140 | |
| 10 | 1994 | 259 | |
| 11 | 1994 | 32 | |
| 12 | 1994 | 94 | |
| 13 | 1992 | 26 | |
| 14 | Identification and properties of an atypical catalytic subunit (p34PSK-J3/cdk4) for mammalian D type G1 cyclins Hit paper breakdown → | 1992 | 797 |
| 15 | 1989 | 39 | |
| 16 | 1987 | 15 | |
| 17 | 1984 | 72 |
About David K. Strom
David K. Strom is a scholar working on Oncology, Biotechnology, Cell Biology, Pharmacology and Ophthalmology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (3 papers), Retinoids in leukemia and cellular processes (3 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (3 papers), Acute Myeloid Leukemia Research (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Oncology (1.2k citations), Cell Biology (391 citations), Molecular Biology (1.5k citations), Hematology (236 citations) and Cancer Research (200 citations). David K. Strom has collaborated with scholars based in United States and Israel. Frequent co-authors include Jun‐ya Kato, Charles J. Sherr, Martine F. Roussel, Steven K. Hanks, Hitoshi Matsushime, Mark E. Ewen, Scott W. Hiebert, John Nip, Masao Matsuoka and John L. Cleveland. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Journal of Neurochemistry, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.
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.