Vikram G. Shakkottai
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 2%
- Physiology top 5%
- Cell Biology top 5%
- Co-authors
- Henry L. PaulsonAndrew P. LiebermanHeike WulffHarry T. OrrRavi ChopraRoger L. AlbinDavid D. BushartAnanthakrishnan Sankaranarayanan
- Topics
- Genetic Neurodegenerative Diseases (48 papers)Mitochondrial Function and Pathology (34 papers)Ion channel regulation and function (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Vikram G. Shakkottai
67 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 2.0k
- Neurology 665
- Physiology 368
- Cell Biology 245
Countries citing papers authored by Vikram G. Shakkottai
This map shows the geographic impact of Vikram G. Shakkottai'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 Vikram G. Shakkottai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram G. Shakkottai more than expected).
Fields of papers citing papers by Vikram G. Shakkottai
This network shows the impact of papers produced by Vikram G. Shakkottai. 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 Vikram G. Shakkottai. The network helps show where Vikram G. Shakkottai may publish in the future.
Co-authorship network of co-authors of Vikram G. Shakkottai
This figure shows the co-authorship network connecting the top 25 collaborators of Vikram G. Shakkottai. A scholar is included among the top collaborators of Vikram G. Shakkottai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vikram G. Shakkottai. Vikram G. Shakkottai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 20 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 20 | |
| 13 | 91 | |
| 14 | 249 | |
| 15 | 46 | |
| 16 | 56 | |
| 17 | 114 | |
| 18 | 181 | |
| 19 | 97 | |
| 20 | 43 |
About Vikram G. Shakkottai
Vikram G. Shakkottai is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (48 papers), Mitochondrial Function and Pathology (34 papers) and Ion channel regulation and function (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Neurology (665 citations) and Molecular Biology (2.2k citations). Vikram G. Shakkottai has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Henry L. Paulson, Andrew P. Lieberman, Heike Wulff, Harry T. Orr, Ravi Chopra, Roger L. Albin, David D. Bushart, Ananthakrishnan Sankaranarayanan, H. Brent Clark and K. George Chandy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.