Sokol V. Todi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 5%
- Epidemiology top 10%
- Genetics top 10%
- Co-authors
- Henry L. PaulsonK. Matthew ScaglioneJessica R. BlountWei‐Ling TsouDaniel F. EberlBrett J WinbornSue M. TravisAlyson Sujkowski
- Topics
- Genetic Neurodegenerative Diseases (36 papers)Ubiquitin and proteasome pathways (34 papers)Mitochondrial Function and Pathology (30 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Sokol V. Todi
66 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 1.0k
- Cell Biology 388
- Epidemiology 348
- Genetics 298
Countries citing papers authored by Sokol V. Todi
This map shows the geographic impact of Sokol V. Todi'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 Sokol V. Todi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sokol V. Todi more than expected).
Fields of papers citing papers by Sokol V. Todi
This network shows the impact of papers produced by Sokol V. Todi. 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 Sokol V. Todi. The network helps show where Sokol V. Todi may publish in the future.
Co-authorship network of co-authors of Sokol V. Todi
This figure shows the co-authorship network connecting the top 25 collaborators of Sokol V. Todi. A scholar is included among the top collaborators of Sokol V. Todi 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 Sokol V. Todi. Sokol V. Todi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 19 | |
| 9 | 21 | |
| 10 | 20 | |
| 11 | 20 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 33 | |
| 15 | 38 | |
| 16 | 58 | |
| 17 | 62 | |
| 18 | 50 | |
| 19 | 58 | |
| 20 | 213 |
About Sokol V. Todi
Sokol V. Todi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Aging, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (36 papers), Ubiquitin and proteasome pathways (34 papers) and Mitochondrial Function and Pathology (30 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (1.9k citations) and Cell Biology (388 citations). Sokol V. Todi has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Henry L. Paulson, K. Matthew Scaglione, Jessica R. Blount, Wei‐Ling Tsou, Daniel F. Eberl, Brett J Winborn, Sue M. Travis, Alyson Sujkowski, Junmin Peng and Ping Xu. 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.