Ramya Krishnan
Impact in
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- CAR-T cell therapy research
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- Virus-based gene therapy research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 4
- bioluminescence and chemiluminescence research 2
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Jean‐Simon Diallo (7 shared papers)Andrew Chen (3 shared papers)John C. Bell (3 shared papers)Mohammed Selman (3 shared papers)Nicole Forbes (3 shared papers)Fabrice Le Bœuf (4 shared papers)Sarath Chandra Sistla (1 shared paper)Oliver Varette (1 shared paper)
- Journals
- Vaccine (2 papers)Journal of Visualized Experiments (2 papers)Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Ramya Krishnan
16 papers receiving 248 citations
Peers
Comparison fields: 5 of 59
- Oncology 97
- Genetics 92
- Inorganic Chemistry 41
- Immunology 49
- Biotechnology 16
Countries citing papers authored by Ramya Krishnan
This map shows the geographic impact of Ramya Krishnan'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 Ramya Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Krishnan more than expected).
Fields of papers citing papers by Ramya Krishnan
This network shows the impact of papers produced by Ramya Krishnan. 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 Ramya Krishnan. The network helps show where Ramya Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramya Krishnan, 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 | 2017 | 73 | |
| 2 | 2018 | 44 | |
| 3 | 2014 | 26 | |
| 4 | 2007 | 26 | |
| 5 | 2016 | 24 | |
| 6 | 2014 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2004 | 12 | |
| 9 | 2010 | 5 | |
| 10 | 2014 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2003 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2006 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About Ramya Krishnan
Ramya Krishnan is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Pathology and Forensic Medicine, having authored 18 papers that have together received 256 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Breast Cancer Treatment Studies (2 papers), bioluminescence and chemiluminescence research (2 papers), Urologic and reproductive health conditions (2 papers), Breast Lesions and Carcinomas (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Oncology (97 citations), Genetics (92 citations), Inorganic Chemistry (41 citations), Immunology (49 citations) and Biotechnology (16 citations). Ramya Krishnan has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Jean‐Simon Diallo, Andrew Chen, John C. Bell, Mohammed Selman, Nicole Forbes, Fabrice Le Bœuf, Sarath Chandra Sistla, Oliver Varette, Nader El-Sayes and Debbie C. Crans. Their work appears in journals such as Vaccine, Journal of Visualized Experiments, Molecular Therapy, Clinical Cancer Research 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.