Kausik Si
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 2%
- Neurological diseases and metabolism
Papers in
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- RNA Research and Splicing 16
- Prion Diseases and Protein Misfolding 9
- RNA and protein synthesis mechanisms 8
- RNA regulation and disease 7
- RNA modifications and cancer 5
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- Neurobiology and Insect Physiology Research 8
- Co-authors
- Eric R. Kandel (9 shared papers)Susan Lindquist (1 shared paper)Umadas Maitra (6 shared papers)Craig H. Bailey (2 shared papers)Amitabha Majumdar (3 shared papers)Yun‐Beom Choi (1 shared paper)Martin Theis (1 shared paper)Joung‐Hun Kim (2 shared papers)
- Journals
- Cell (7 papers)Proceedings of the National Academy of Sciences (5 papers)Molecular and Cellular Biology (3 papers)PLoS Biology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Kausik Si
32 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 753
- Neurology 340
- Molecular Biology 2.4k
- Developmental Neuroscience 98
- Physiology 547
Countries citing papers authored by Kausik Si
This map shows the geographic impact of Kausik Si'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 Kausik Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kausik Si more than expected).
Fields of papers citing papers by Kausik Si
This network shows the impact of papers produced by Kausik Si. 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 Kausik Si. The network helps show where Kausik Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Kausik Si, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 439 | |
| 2 | 2003 | 324 | |
| 3 | 2010 | 278 | |
| 4 | 2012 | 214 | |
| 5 | 2004 | 205 | |
| 6 | 2003 | 158 | |
| 7 | 2001 | 138 | |
| 8 | 2020 | 133 | |
| 9 | 2008 | 111 | |
| 10 | 2015 | 86 | |
| 11 | 1999 | 85 | |
| 12 | 1997 | 81 | |
| 13 | 2016 | 79 | |
| 14 | 2003 | 70 | |
| 15 | 2016 | 66 | |
| 16 | 2010 | 58 | |
| 17 | 1996 | 57 | |
| 18 | 2018 | 51 | |
| 19 | 1997 | 44 | |
| 20 | 2014 | 43 |
About Kausik Si
Kausik Si is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Immunology, having authored 33 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (16 papers), Prion Diseases and Protein Misfolding (9 papers), Neurobiology and Insect Physiology Research (8 papers), RNA and protein synthesis mechanisms (8 papers), RNA regulation and disease (7 papers), Alzheimer's disease research and treatments (5 papers), RNA modifications and cancer (5 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (753 citations), Neurology (340 citations), Molecular Biology (2.4k citations), Developmental Neuroscience (98 citations) and Physiology (547 citations). Kausik Si has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Eric R. Kandel, Susan Lindquist, Umadas Maitra, Craig H. Bailey, Amitabha Majumdar, Yun‐Beom Choi, Martin Theis, Joung‐Hun Kim, Huixiang Zhu and Maria Concetta Miniaci. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, PLoS Biology and Journal of Biological Chemistry.
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.