Ravi Tharakan
Impact in
- Aging top 10%
-
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 3
- Metabolomics and Mass Spectrometry Studies 3
- RNA and protein synthesis mechanisms 3
- Mitochondrial Function and Pathology 3
- Machine Learning in Bioinformatics 2
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Myriam Gorospe (4 shared papers)Ceereena Ubaida‐Mohien (10 shared papers)Luigi Ferrucci (8 shared papers)David R. Graham (4 shared papers)Ruin Moaddel (4 shared papers)Ranjan Sen (3 shared papers)Chee W. Chia (3 shared papers)Marta González‐Freire (2 shared papers)
- Journals
- PROTEOMICS (2 papers)Neuroscience Research (1 paper)Nature Communications (1 paper)Journal of Proteome Research (1 paper)RNA Biology (1 paper)
- Partner nations
- United StatesBelarusUnited Kingdom
In The Last Decade
Ravi Tharakan
15 papers receiving 360 citations
Peers
Comparison fields: 5 of 78
- Aging 26
- Physiology 112
- Molecular Biology 267
- Spectroscopy 64
- Geriatrics and Gerontology 12
Countries citing papers authored by Ravi Tharakan
This map shows the geographic impact of Ravi Tharakan'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 Tharakan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Tharakan more than expected).
Fields of papers citing papers by Ravi Tharakan
This network shows the impact of papers produced by Ravi Tharakan. 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 Tharakan. The network helps show where Ravi Tharakan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Tharakan, 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 | 2019 | 153 | |
| 2 | 2020 | 39 | |
| 3 | 2010 | 34 | |
| 4 | 2012 | 26 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2008 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2015 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2019 | 0 |
About Ravi Tharakan
Ravi Tharakan is a scholar working on Molecular Biology, Spectroscopy, Rheumatology, Physiology and Virology, having authored 18 papers that have together received 361 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Epigenetics and DNA Methylation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Mitochondrial Function and Pathology (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Aging (26 citations), Physiology (112 citations), Molecular Biology (267 citations), Spectroscopy (64 citations) and Geriatrics and Gerontology (12 citations). Ravi Tharakan has collaborated with scholars based in United States, Belarus and United Kingdom. Frequent co-authors include Myriam Gorospe, Ceereena Ubaida‐Mohien, Luigi Ferrucci, David R. Graham, Ruin Moaddel, Ranjan Sen, Chee W. Chia, Marta González‐Freire, Michelle Shardell and Richard D. Semba. Their work appears in journals such as PROTEOMICS, Neuroscience Research, Nature Communications, Journal of Proteome Research and RNA Biology.
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.