Shaon Basu
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Nuclear Structure and Function
- Ubiquitin and proteasome pathways
Papers in
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- Neurological diseases and metabolism 1
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- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Protein Degradation and Inhibitors 1
- Prion Diseases and Protein Misfolding 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Denes Hnisz (1 shared paper)Henri Niskanen (1 shared paper)Hylkje J. Geertsema (1 shared paper)Alexander Meissner (1 shared paper)Stefanie Grosswendt (1 shared paper)Salaheddine Ali (1 shared paper)Stefan Mundlos (1 shared paper)Ivana Jerković (1 shared paper)
- Journals
- Nature (1 paper)Journal of Biological Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)Cell (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Shaon Basu
4 papers receiving 303 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 253
- Developmental Biology 7
- Clinical Biochemistry 10
- Biochemistry 10
- Neurology 10
Countries citing papers authored by Shaon Basu
This map shows the geographic impact of Shaon Basu'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 Shaon Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaon Basu more than expected).
Fields of papers citing papers by Shaon Basu
This network shows the impact of papers produced by Shaon Basu. 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 Shaon Basu. The network helps show where Shaon Basu may publish in the future.
Co-authors
The 20 scholars most cited alongside Shaon Basu, 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 | 2020 | 140 | |
| 2 | 2023 | 108 | |
| 3 | 2023 | 43 | |
| 4 | 2018 | 13 |
About Shaon Basu
Shaon Basu is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 4 papers that have together received 304 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Protein Degradation and Inhibitors (1 paper), Nuclear Receptors and Signaling (1 paper), Prion Diseases and Protein Misfolding (1 paper), RNA and protein synthesis mechanisms (1 paper) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Molecular Biology (253 citations), Developmental Biology (7 citations), Clinical Biochemistry (10 citations), Biochemistry (10 citations) and Neurology (10 citations). Shaon Basu has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Denes Hnisz, Henri Niskanen, Hylkje J. Geertsema, Alexander Meissner, Stefanie Grosswendt, Salaheddine Ali, Stefan Mundlos, Ivana Jerković, Sebastian D. Mackowiak and Helge Ewers. Their work appears in journals such as Nature, Journal of Biological Chemistry, Nature Structural & Molecular Biology and Cell.
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.