Suresh Mathivanan
- Cancer Research top 0.05%
- MicroRNA in disease regulation 26
- Molecular Biology top 0.1%
- Extracellular vesicles in disease 52
- RNA Interference and Gene Delivery 14
- Bioinformatics and Genomic Networks 10
- Metabolomics and Mass Spectrometry Studies 7
- Circular RNAs in diseases 6
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 6
- Immunology top 1%
- Obstetrics and Gynecology top 1%
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- Advanced Proteomics Techniques and Applications 12
Suresh Mathivanan
91 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cancer Research 8.4k
- Molecular Biology 15.8k
- Immunology and Allergy 832
- Immunology 2.2k
- Obstetrics and Gynecology 465
Countries citing papers authored by Suresh Mathivanan
This map shows the geographic impact of Suresh Mathivanan'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 Suresh Mathivanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh Mathivanan more than expected).
Fields of papers citing papers by Suresh Mathivanan
This network shows the impact of papers produced by Suresh Mathivanan. 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 Suresh Mathivanan. The network helps show where Suresh Mathivanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suresh Mathivanan, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 4 | |
| 4 | Vesiclepedia 2024: an extracellular vesicles and extracellular particles repositorybreakdown → | 2023 | 112 |
| 5 | 2021 | 2 | |
| 6 | 2020 | 36 | |
| 7 | 2019 | 58 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 107 | |
| 10 | 2018 | 2 | |
| 11 | 2016 | 18 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 35 | |
| 14 | 2015 | 74 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 240 | |
| 17 | 2012 | 43 | |
| 18 | 2012 | 303 | |
| 19 | 2011 | 40 | |
| 20 | ExoCarta: A compendium of exosomal proteins and RNAbreakdown → | 2009 | 733 |
About Suresh Mathivanan
Suresh Mathivanan is a scholar working on Cancer Research, Molecular Biology, Immunology and Allergy, Immunology and Spectroscopy, having authored 93 papers that have together received 18.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (52 papers), MicroRNA in disease regulation (26 papers), RNA Interference and Gene Delivery (14 papers), Advanced Proteomics Techniques and Applications (12 papers), Bioinformatics and Genomic Networks (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Circular RNAs in diseases (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Cancer Research (8.4k citations), Molecular Biology (15.8k citations), Immunology and Allergy (832 citations), Immunology (2.2k citations) and Obstetrics and Gynecology (465 citations). Suresh Mathivanan has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Richard J. Simpson, Hong Ji, Hina Kalra, Robert L. Moritz, Bow J. Tauro, Shivakumar Keerthikumar, Mohashin Pathan, Lahiru Gangoda, Ching‐Seng Ang and Michael Liem. Their work appears in journals such as PROTEOMICS, Journal of Extracellular Vesicles, Nucleic Acids Research, Molecular & Cellular Proteomics and Frontiers in Plant Science.
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.