Prasanth Sivakumar
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
-
- Genetic Neurodegenerative Diseases
Papers in
- Genetics 4
- Neurogenetic and Muscular Disorders Research 4
- Genomics and Rare Diseases 3
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- Amyotrophic Lateral Sclerosis Research 4
- Co-authors
- Elizabeth Fisher (1 shared paper)Ivone Un San Leong (1 shared paper)Pietro Fratta (1 shared paper)Matthew P. Bentham (1 shared paper)Dalia Kasperavičiūtė (1 shared paper)Ellen Thomas (1 shared paper)Jacob Neeves (1 shared paper)Paul S. Quinn (1 shared paper)
- Journals
- European Journal of Human Genetics (3 papers)Brain (3 papers)Annals of Neurology (2 papers)The Journal of Headache and Pain (1 paper)Genetics in Medicine (1 paper)
- Partner nations
- United KingdomSpainNetherlands
In The Last Decade
Prasanth Sivakumar
14 papers receiving 972 citations
Prasanth Sivakumar's Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 378
- Cellular and Molecular Neuroscience 390
- Genetics 207
- Neurology 116
- Molecular Biology 464
Countries citing papers authored by Prasanth Sivakumar
This map shows the geographic impact of Prasanth Sivakumar'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 Prasanth Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanth Sivakumar more than expected).
Fields of papers citing papers by Prasanth Sivakumar
This network shows the impact of papers produced by Prasanth Sivakumar. 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 Prasanth Sivakumar. The network helps show where Prasanth Sivakumar may publish in the future.
Co-authors
The 23 scholars most cited alongside Prasanth Sivakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Biallelic expansion of an intronic repeat in RFC1 is a common cause of late-onset ataxia Hit paper breakdown → | 2019 | 401 |
| 2 | 2020 | 148 | |
| 3 | 2018 | 123 | |
| 4 | 2017 | 86 | |
| 5 | 2021 | 55 | |
| 6 | 2021 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2023 | 39 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 |
About Prasanth Sivakumar
Prasanth Sivakumar is a scholar working on Genetics, Neurology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology, having authored 14 papers that have together received 992 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA Research and Splicing (3 papers), Genomics and Rare Diseases (3 papers), Migraine and Headache Studies (3 papers), RNA modifications and cancer (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Neurology (378 citations), Cellular and Molecular Neuroscience (390 citations), Genetics (207 citations), Neurology (116 citations) and Molecular Biology (464 citations). Prasanth Sivakumar has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Elizabeth Fisher, Ivone Un San Leong, Pietro Fratta, Matthew P. Bentham, Dalia Kasperavičiūtė, Ellen Thomas, Jacob Neeves, Paul S. Quinn, David P Bick and Richard Scott. Their work appears in journals such as European Journal of Human Genetics, Brain, Annals of Neurology, The Journal of Headache and Pain and Genetics in Medicine.
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.