Ashwin Ramakrishnan
Impact in
-
- Zebrafish Biomedical Research Applications
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 3
- CAR-T cell therapy research 2
- Cancer-related Molecular Pathways 1
-
- ICT Impact and Policies 1
- Co-authors
- Qin Tang (3 shared papers)David M. Langenau (3 shared papers)Finola E. Moore (2 shared papers)Myron S. Ignatius (2 shared papers)Eleanor Y. Chen (2 shared papers)Madeline N. Hayes (2 shared papers)Ruslan I. Sadreyev (1 shared paper)Elaine G. Garcia (1 shared paper)
- Journals
- eLife (2 papers)Journal of Biological Chemistry (1 paper)ACS Medicinal Chemistry Letters (1 paper)IEEE Robotics and Automation Letters (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesFrancePortugal
In The Last Decade
Ashwin Ramakrishnan
7 papers receiving 217 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 73
- Cancer Research 33
- Molecular Biology 128
- Condensed Matter Physics 16
- Immunology 25
Countries citing papers authored by Ashwin Ramakrishnan
This map shows the geographic impact of Ashwin Ramakrishnan'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 Ashwin Ramakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Ramakrishnan more than expected).
Fields of papers citing papers by Ashwin Ramakrishnan
This network shows the impact of papers produced by Ashwin Ramakrishnan. 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 Ashwin Ramakrishnan. The network helps show where Ashwin Ramakrishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Ramakrishnan, 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 | 2016 | 57 | |
| 2 | 2018 | 49 | |
| 3 | 2017 | 49 | |
| 4 | 2020 | 30 | |
| 5 | 2017 | 19 | |
| 6 | 2021 | 10 | |
| 7 | 2024 | 7 | |
| 8 | TOWARDS AN EFFECTIVE REGIME AGAINST ONLINE COPYRIGHT INFRINGEMENT IN INDIA | 2016 | 0 |
About Ashwin Ramakrishnan
Ashwin Ramakrishnan is a scholar working on Oncology, Media Technology, Pulmonary and Respiratory Medicine, Molecular Biology and Condensed Matter Physics, having authored 8 papers that have together received 221 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), ICT Impact and Policies (1 paper), Stock Market Forecasting Methods (1 paper), CRISPR and Genetic Engineering (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cell Biology (73 citations), Cancer Research (33 citations), Molecular Biology (128 citations), Condensed Matter Physics (16 citations) and Immunology (25 citations). Ashwin Ramakrishnan has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Qin Tang, David M. Langenau, Finola E. Moore, Myron S. Ignatius, Eleanor Y. Chen, Madeline N. Hayes, Ruslan I. Sadreyev, Elaine G. Garcia, Julien Leclerc and Nikolaos V. Tsekos. Their work appears in journals such as eLife, Journal of Biological Chemistry, ACS Medicinal Chemistry Letters, IEEE Robotics and Automation Letters and The Journal of Experimental Medicine.
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.