Kimal Rajapakshe
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Cancer, Hypoxia, and Metabolism 12
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 9
- Oncology 32
- Pancreatic and Hepatic Oncology Research 9
- Co-authors
- Cristian CoarfaWarren FiskusShixia HuangPreethi H. GunaratneBert W. O’MalleyNicholas MitsiadesNagireddy PutluriKapil N. Bhalla
- Journals
- Cancer Research (7 papers)Nature Communications (5 papers)Oncogene (5 papers)Molecular Endocrinology (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Kimal Rajapakshe
95 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 1.0k
- Molecular Biology 2.1k
- Oncology 808
- Hematology 255
- Immunology 361
Countries citing papers authored by Kimal Rajapakshe
This map shows the geographic impact of Kimal Rajapakshe'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 Kimal Rajapakshe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimal Rajapakshe more than expected).
Fields of papers citing papers by Kimal Rajapakshe
This network shows the impact of papers produced by Kimal Rajapakshe. 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 Kimal Rajapakshe. The network helps show where Kimal Rajapakshe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimal Rajapakshe, 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 | 2024 | 6 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 68 | |
| 10 | 2021 | 39 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 76 | |
| 17 | 2017 | 43 | |
| 18 | 2016 | 21 | |
| 19 | 2014 | 132 | |
| 20 | 2011 | 1 |
About Kimal Rajapakshe
Kimal Rajapakshe is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Hematology, having authored 96 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), RNA modifications and cancer (11 papers), MicroRNA in disease regulation (11 papers), Epigenetics and DNA Methylation (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Cancer-related molecular mechanisms research (9 papers), Prostate Cancer Treatment and Research (9 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (2.1k citations), Oncology (808 citations), Hematology (255 citations) and Immunology (361 citations). Kimal Rajapakshe has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Cristian Coarfa, Warren Fiskus, Shixia Huang, Preethi H. Gunaratne, Bert W. O’Malley, Nicholas Mitsiades, Nagireddy Putluri, Kapil N. Bhalla, Dyana T. Saenz and Sean M. Hartig. Their work appears in journals such as Cancer Research, Nature Communications, Oncogene, Molecular Endocrinology and Scientific Reports.
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.