Ashwin Sriram
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
Papers in
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- Mitochondrial Function and Pathology 4
- Glutathione Transferases and Polymorphisms 1
- Melanoma and MAPK Pathways 1
- Oncology 5
- Polyomavirus and related diseases 3
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- Alberto Sanz (8 shared papers)Filippo Scialò (5 shared papers)Jonathan Bohlen (1 shared paper)Aurelio A. Teleman (1 shared paper)Glyn Nelson (1 shared paper)Plácido Navas (1 shared paper)Angela Logan (1 shared paper)Michael P. Murphy (1 shared paper)
- Journals
- Cell Cycle (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Journal of Investigative Dermatology (2 papers)Cell Metabolism (1 paper)Gerontology (1 paper)
- Partner nations
- GermanyUnited KingdomFinland
In The Last Decade
Ashwin Sriram
16 papers receiving 650 citations
Peers
Comparison fields: 5 of 81
- Aging 93
- Molecular Biology 404
- Clinical Biochemistry 32
- Biochemistry 32
- Geriatrics and Gerontology 15
Countries citing papers authored by Ashwin Sriram
This map shows the geographic impact of Ashwin Sriram'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 Sriram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Sriram more than expected).
Fields of papers citing papers by Ashwin Sriram
This network shows the impact of papers produced by Ashwin Sriram. 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 Sriram. The network helps show where Ashwin Sriram may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Sriram, 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 | 282 | |
| 2 | 2018 | 75 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 37 | |
| 6 | 2016 | 25 | |
| 7 | 2014 | 22 | |
| 8 | 2012 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 1999 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2015 | 4 | |
| 16 | 2023 | 3 |
About Ashwin Sriram
Ashwin Sriram is a scholar working on Molecular Biology, Oncology, Aging, Ecology and Epidemiology, having authored 16 papers that have together received 657 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Mitochondrial Function and Pathology (4 papers), Polyomavirus and related diseases (3 papers), Bacteriophages and microbial interactions (2 papers), Physiological and biochemical adaptations (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Aging (93 citations), Molecular Biology (404 citations), Clinical Biochemistry (32 citations), Biochemistry (32 citations) and Geriatrics and Gerontology (15 citations). Ashwin Sriram has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Alberto Sanz, Filippo Scialò, Jonathan Bohlen, Aurelio A. Teleman, Glyn Nelson, Plácido Navas, Angela Logan, Michael P. Murphy, Nina Gubina and Madis Lõhmus. Their work appears in journals such as Cell Cycle, Journal of Cancer Research and Clinical Oncology, Journal of Investigative Dermatology, Cell Metabolism and Gerontology.
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.