Dineli Wickramasinghe
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Aging top 5%
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Liver physiology and pathology 4
- Co-authors
- David F. AlbertiniMonica Kong-BeltranKarl M. EbertNerissa MendozaJennifer L. StamosRalph SchwallLino TessarolloPeter Donovan
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Cancer Research (3 papers)Developmental Biology (2 papers)Mammalian Genome (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Dineli Wickramasinghe
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Hepatology 340
- Aging 54
- Reproductive Medicine 169
- Molecular Biology 953
- Public Health, Environmental and Occupational Health 401
Countries citing papers authored by Dineli Wickramasinghe
This map shows the geographic impact of Dineli Wickramasinghe'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 Dineli Wickramasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dineli Wickramasinghe more than expected).
Fields of papers citing papers by Dineli Wickramasinghe
This network shows the impact of papers produced by Dineli Wickramasinghe. 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 Dineli Wickramasinghe. The network helps show where Dineli Wickramasinghe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dineli Wickramasinghe, 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 | 2014 | 27 | |
| 2 | 2012 | 85 | |
| 3 | 2012 | 1 | |
| 4 | 2010 | 20 | |
| 5 | 2007 | 36 | |
| 6 | 2006 | 372 | |
| 7 | 2005 | 28 | |
| 8 | 2005 | 28 | |
| 9 | 2004 | 166 | |
| 10 | Selective cyclin-dependent kinase 2/cyclin A antagonists that differ from ATP site inhibitors block tumor growth. | 2003 | 59 |
| 11 | Inhibition of ligand-mediated HER2 activation in androgen-independent prostate cancer. | 2002 | 68 |
| 12 | 2002 | 220 | |
| 13 | 2002 | 59 | |
| 14 | 2000 | 7 | |
| 15 | 1998 | 29 | |
| 16 | 1996 | 5 | |
| 17 | 1994 | 4 | |
| 18 | 1993 | 25 | |
| 19 | 1992 | 53 | |
| 20 | 1991 | 195 |
About Dineli Wickramasinghe
Dineli Wickramasinghe is a scholar working on Aging, Hepatology, Cell Biology, Oncology and Molecular Biology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers), Genomics and Chromatin Dynamics (4 papers), Reproductive Biology and Fertility (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Hepatology (340 citations), Aging (54 citations), Reproductive Medicine (169 citations), Molecular Biology (953 citations) and Public Health, Environmental and Occupational Health (401 citations). Dineli Wickramasinghe has collaborated with scholars based in United States and Germany. Frequent co-authors include David F. Albertini, Monica Kong-Beltran, Karl M. Ebert, Nerissa Mendoza, Jennifer L. Stamos, Ralph Schwall, Lino Tessarollo, Peter Donovan, Paula Stein and Mary Ellen Palko. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Developmental Biology, Mammalian Genome and Molecular Cancer 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.