Jyothi Arikkath
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 5%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Kevin P. CampbellLouis F. ReichardtYang YuanGerard M. J. BeaudoinRicardo FelixLi YuanYasuo MoriConnie L. Mahaffey
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Axon Guidance and Neuronal Signaling (9 papers)Wnt/β-catenin signaling in development and cancer (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- United StatesRussiaChina
In The Last Decade
Jyothi Arikkath
38 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 1.4k
- Cell Biology 373
- Physiology 344
- Genetics 240
Countries citing papers authored by Jyothi Arikkath
This map shows the geographic impact of Jyothi Arikkath'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 Jyothi Arikkath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyothi Arikkath more than expected).
Fields of papers citing papers by Jyothi Arikkath
This network shows the impact of papers produced by Jyothi Arikkath. 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 Jyothi Arikkath. The network helps show where Jyothi Arikkath may publish in the future.
Co-authorship network of co-authors of Jyothi Arikkath
This figure shows the co-authorship network connecting the top 25 collaborators of Jyothi Arikkath. A scholar is included among the top collaborators of Jyothi Arikkath 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 Jyothi Arikkath. Jyothi Arikkath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 5 | |
| 6 | 40 | |
| 7 | 17 | |
| 8 | 19 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 67 | |
| 13 | 15 | |
| 14 | 37 | |
| 15 | 224 | |
| 16 | 13 | |
| 17 | 36 | |
| 18 | 400 | |
| 19 | 15 | |
| 20 | 450 |
About Jyothi Arikkath
Jyothi Arikkath is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Axon Guidance and Neuronal Signaling (9 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (163 citations) and Neurology (221 citations). Jyothi Arikkath has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Kevin P. Campbell, Louis F. Reichardt, Yang Yuan, Gerard M. J. Beaudoin, Ricardo Felix, Li Yuan, Yasuo Mori, Connie L. Mahaffey, Alicia Valenzuela and Shilpa Buch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.