Ravi S. Narayan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer therapeutics and mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Godefridus J. Peters (3 shared papers)Ming Yi (1 shared paper)Jaime Imitola (1 shared paper)Christine Esau (1 shared paper)Anna M. Krichevsky (1 shared paper)Johanna M. Niers (1 shared paper)Thomas Würdinger (1 shared paper)Santosh Kesari (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Cancer Therapeutics (2 papers)Current Pharmaceutical Design (2 papers)Blood Cells Molecules and Diseases (1 paper)Oncotarget (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Ravi S. Narayan
11 papers receiving 502 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 242
- Genetics 62
- Molecular Biology 327
- Oncology 66
- Pathology and Forensic Medicine 29
Countries citing papers authored by Ravi S. Narayan
This map shows the geographic impact of Ravi S. Narayan'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 Ravi S. Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi S. Narayan more than expected).
Fields of papers citing papers by Ravi S. Narayan
This network shows the impact of papers produced by Ravi S. Narayan. 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 Ravi S. Narayan. The network helps show where Ravi S. Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi S. Narayan, 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 | 2011 | 245 | |
| 2 | 2016 | 57 | |
| 3 | 2017 | 54 | |
| 4 | 2010 | 43 | |
| 5 | 2015 | 27 | |
| 6 | 2012 | 22 | |
| 7 | 2017 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 16 | |
| 10 | 2014 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2025 | 0 |
About Ravi S. Narayan
Ravi S. Narayan is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Organic Chemistry, having authored 12 papers that have together received 505 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Glioma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Polyomavirus and related diseases (1 paper), Quinazolinone synthesis and applications (1 paper) and Chemical Reactions and Isotopes (1 paper). The work is most often cited by research in Cancer Research (242 citations), Genetics (62 citations), Molecular Biology (327 citations), Oncology (66 citations) and Pathology and Forensic Medicine (29 citations). Ravi S. Narayan has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Godefridus J. Peters, Ming Yi, Jaime Imitola, Christine Esau, Anna M. Krichevsky, Johanna M. Niers, Thomas Würdinger, Santosh Kesari, Robert M. Stephens and Bakhos A. Tannous. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Current Pharmaceutical Design, Blood Cells Molecules and Diseases and Oncotarget.
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.