Sunil Laxman
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 5%
Papers in
-
- Fungal and yeast genetics research 12
- Polyamine Metabolism and Applications 9
- Mitochondrial Function and Pathology 7
- RNA modifications and cancer 7
- ATP Synthase and ATPases Research 5
- Biochemical and Molecular Research 5
- RNA and protein synthesis mechanisms 5
- Microbial Metabolic Engineering and Bioproduction 5
- Co-authors
- Benjamin P. Tu (10 shared papers)Benjamin M. Sutter (5 shared papers)Xi Wu (2 shared papers)Joseph A. Beavo (5 shared papers)Adhish S. Walvekar (10 shared papers)Xiaofeng Guo (1 shared paper)David C. Trudgian (1 shared paper)Sujai Kumar (1 shared paper)
- Journals
- eLife (10 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
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Aging 82
- Biochemistry 115
- Molecular Biology 1.1k
- Epidemiology 271
- Geriatrics and Gerontology 26
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 201 | |
| 2 | 2013 | 191 | |
| 3 | 2006 | 75 | |
| 4 | 2016 | 66 | |
| 5 | 2016 | 64 | |
| 6 | 2019 | 61 | |
| 7 | 2013 | 56 | |
| 8 | 2013 | 45 | |
| 9 | 2007 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2014 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2015 | 36 | |
| 14 | 2019 | 35 | |
| 15 | 2021 | 35 | |
| 16 | 2018 | 34 | |
| 17 | 2005 | 33 | |
| 18 | 2019 | 30 | |
| 19 | 2004 | 27 | |
| 20 | 2019 | 25 |
About Sunil Laxman
Sunil Laxman is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Biochemistry and Plant Science, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), Polyamine Metabolism and Applications (9 papers), Mitochondrial Function and Pathology (7 papers), RNA modifications and cancer (7 papers), ATP Synthase and ATPases Research (5 papers), Biochemical and Molecular Research (5 papers), RNA and protein synthesis mechanisms (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Aging (82 citations), Biochemistry (115 citations), Molecular Biology (1.1k citations), Epidemiology (271 citations) and Geriatrics and Gerontology (26 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, Joseph A. Beavo, Adhish S. Walvekar, Xiaofeng Guo, David C. Trudgian, Sujai Kumar, Hamid Mirzaei 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.