Deepak Sampath
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Oncology top 1%
- HER2/EGFR in Cancer Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 27
- Cancer therapeutics and mechanisms 9
- Glycosylation and Glycoproteins Research 8
- Oncology 32
- PARP inhibition in cancer therapy 11
- Co-authors
- Lori S. Friedman (16 shared papers)Carter T. Fields (3 shared papers)Gail D. Lewis Phillips (3 shared papers)Robert W. Akita (2 shared papers)Mark X. Sliwkowski (2 shared papers)Teemu T. Junttila (2 shared papers)Kathryn L. Parsons (2 shared papers)Dwight C. Look (4 shared papers)
- Journals
- Cancer Research (18 papers)Blood (10 papers)Molecular Cancer Therapeutics (10 papers)Clinical Cancer Research (6 papers)Neoplasia (5 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Deepak Sampath
105 papers receiving 4.9k citations
Deepak Sampath's Hit Papers
Peers
Comparison fields: 5 of 129
- Geriatrics and Gerontology 299
- Oncology 1.7k
- Cancer Research 733
- Genetics 474
- Hematology 467
Countries citing papers authored by Deepak Sampath
This map shows the geographic impact of Deepak Sampath'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 Deepak Sampath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Sampath more than expected).
Fields of papers citing papers by Deepak Sampath
This network shows the impact of papers produced by Deepak Sampath. 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 Deepak Sampath. The network helps show where Deepak Sampath may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Sampath, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ligand-Independent HER2/HER3/PI3K Complex Is Disrupted by Trastuzumab and Is Effectively Inhibited by the PI3K Inhibitor GDC-0941 Hit paper breakdown → | 2009 | 657 |
| 2 | 2012 | 406 | |
| 3 | 2016 | 224 | |
| 4 | 2017 | 206 | |
| 5 | 2015 | 202 | |
| 6 | 2010 | 201 | |
| 7 | 1999 | 184 | |
| 8 | 2012 | 151 | |
| 9 | 2017 | 121 | |
| 10 | 2011 | 120 | |
| 11 | 2018 | 116 | |
| 12 | 2020 | 99 | |
| 13 | 2017 | 96 | |
| 14 | 2010 | 95 | |
| 15 | 2001 | 90 | |
| 16 | 2011 | 85 | |
| 17 | 2014 | 78 | |
| 18 | 2018 | 78 | |
| 19 | 1998 | 78 | |
| 20 | 2012 | 73 |
About Deepak Sampath
Deepak Sampath is a scholar working on Molecular Biology, Oncology, Genetics, Hematology and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 5.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (27 papers), Chronic Lymphocytic Leukemia Research (18 papers), Sirtuins and Resveratrol in Medicine (11 papers), PARP inhibition in cancer therapy (11 papers), Acute Myeloid Leukemia Research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer therapeutics and mechanisms (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Geriatrics and Gerontology (299 citations), Oncology (1.7k citations), Cancer Research (733 citations), Genetics (474 citations) and Hematology (467 citations). Deepak Sampath has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Lori S. Friedman, Carter T. Fields, Gail D. Lewis Phillips, Robert W. Akita, Mark X. Sliwkowski, Teemu T. Junttila, Kathryn L. Parsons, Dwight C. Look, Michael J. Holtzman and Mario Castro. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics, Clinical Cancer Research and Neoplasia.
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.