Sunil Laxman
Impact in
- Aging top 5%
- Molecular Biology top 10%
- RNA modifications and cancer
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Polyamine Metabolism and Applications
- Mitochondrial Function and Pathology
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Fungal and yeast genetics research 11
- Polyamine Metabolism and Applications 9
- Mitochondrial Function and Pathology 7
- RNA modifications and cancer 7
- Microbial Metabolic Engineering and Bioproduction 6
- Biochemical and Molecular Research 5
- ATP Synthase and ATPases Research 5
- Metabolism, Diabetes, and Cancer 4
- Co-authors
- Benjamin P. Tu (11 shared papers)Benjamin M. Sutter (5 shared papers)Xi Wu (2 shared papers)Adhish S. Walvekar (10 shared papers)Joseph A. Beavo (5 shared papers)Xiaofeng Guo (1 shared paper)Sujai Kumar (1 shared paper)Hamid Mirzaei (1 shared paper)
- Journals
- eLife (8 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (4 papers)Science Advances (3 papers)Nature Communications (3 papers)
- Partner nations
- IndiaUnited StatesVenezuela
In The Last Decade
Sunil Laxman
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Aging 83
- Molecular Biology 1.1k
- Biochemistry 116
- Geriatrics and Gerontology 30
- Epidemiology 282
Countries citing papers authored by Sunil Laxman
This map shows the geographic impact of Sunil Laxman'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 Sunil Laxman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Laxman more than expected).
Fields of papers citing papers by Sunil Laxman
This network shows the impact of papers produced by Sunil Laxman. 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 Sunil Laxman. The network helps show where Sunil Laxman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Laxman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 207 | |
| 2 | 2013 | 202 | |
| 3 | 2006 | 76 | |
| 4 | 2016 | 66 | |
| 5 | 2016 | 65 | |
| 6 | 2013 | 62 | |
| 7 | 2019 | 60 | |
| 8 | 2013 | 45 | |
| 9 | 2018 | 41 | |
| 10 | 2007 | 40 | |
| 11 | 2015 | 39 | |
| 12 | 2021 | 39 | |
| 13 | 2019 | 38 | |
| 14 | 2014 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2019 | 36 | |
| 17 | 2018 | 35 | |
| 18 | 2005 | 34 | |
| 19 | 2019 | 34 | |
| 20 | 2020 | 28 |
About Sunil Laxman
Sunil Laxman is a scholar working on Molecular Biology, Biochemistry, Epidemiology, Cell Biology and Physiology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Polyamine Metabolism and Applications (9 papers), Mitochondrial Function and Pathology (7 papers), RNA modifications and cancer (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Biochemical and Molecular Research (5 papers), ATP Synthase and ATPases Research (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Aging (83 citations), Molecular Biology (1.1k citations), Biochemistry (116 citations), Geriatrics and Gerontology (30 citations) and Epidemiology (282 citations). Sunil Laxman has collaborated with scholars based in India, United States and Venezuela. Frequent co-authors include Benjamin P. Tu, Benjamin M. Sutter, Xi Wu, Adhish S. Walvekar, Joseph A. Beavo, Xiaofeng Guo, Sujai Kumar, Hamid Mirzaei, David C. Trudgian and Jyotsna Dhawan. Their work appears in journals such as eLife, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Science Advances and Nature Communications.
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.