David Sekula
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 13
- Retinoids in leukemia and cellular processes 12
- Protein Degradation and Inhibitors 3
- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 3
- Oncology 15
- Cancer-related Molecular Pathways 13
- Co-authors
- Ethan Dmitrovsky (25 shared papers)Sarah J. Freemantle (19 shared papers)John Langenfeld (2 shared papers)Michael J. Spinella (5 shared papers)Hiroaki Kiyokawa (1 shared paper)Jay Boyle (1 shared paper)Konstantin H. Dragnev (7 shared papers)Qing Feng (6 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (4 papers)Oncogene (3 papers)Cancer Biology & Therapy (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Sekula
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Oncology 440
- Molecular Biology 850
- Biochemistry 68
- Cancer Research 163
- Immunology 213
Countries citing papers authored by David Sekula
This map shows the geographic impact of David Sekula'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 Sekula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sekula more than expected).
Fields of papers citing papers by David Sekula
This network shows the impact of papers produced by David Sekula. 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 Sekula. The network helps show where David Sekula may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sekula, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 168 | |
| 2 | 1999 | 142 | |
| 3 | 2002 | 91 | |
| 4 | 1999 | 84 | |
| 5 | Evidence for the epidermal growth factor receptor as a target for lung cancer prevention. | 2002 | 84 |
| 6 | 2008 | 73 | |
| 7 | 2010 | 52 | |
| 8 | 2004 | 49 | |
| 9 | 2001 | 47 | |
| 10 | 2016 | 43 | |
| 11 | 2012 | 36 | |
| 12 | 2016 | 36 | |
| 13 | 2007 | 36 | |
| 14 | 2014 | 31 | |
| 15 | 1998 | 30 | |
| 16 | 2007 | 28 | |
| 17 | 2005 | 27 | |
| 18 | 2015 | 18 | |
| 19 | 2012 | 16 | |
| 20 | 2015 | 15 |
About David Sekula
David Sekula is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Ubiquitin and proteasome pathways (13 papers), Retinoids in leukemia and cellular processes (12 papers), interferon and immune responses (3 papers), Protein Degradation and Inhibitors (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Oncology (440 citations), Molecular Biology (850 citations), Biochemistry (68 citations), Cancer Research (163 citations) and Immunology (213 citations). David Sekula has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ethan Dmitrovsky, Sarah J. Freemantle, John Langenfeld, Michael J. Spinella, Hiroaki Kiyokawa, Jay Boyle, Konstantin H. Dragnev, Qing Feng, Fulvio Lonardo and Sutisak Kitareewan. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Oncogene, Cancer Biology & Therapy and International Journal of Oncology.
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.