Indranil Basak
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Parkinson's Disease Mechanisms and Treatments 6
- Neurological diseases and metabolism 4
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- Circular RNAs in diseases 2
- Extracellular vesicles in disease 2
- Co-authors
- Simon Geir Møller (10 shared papers)Ketan S. Patil (8 shared papers)Guido Alves (6 shared papers)Rashed Abdullah (4 shared papers)Paul F. Bray (5 shared papers)Matthew T. Rondina (3 shared papers)Andrew S. Weyrich (3 shared papers)Wim Deferme (3 shared papers)
- Journals
- Blood (2 papers)Cellular and Molecular Life Sciences (2 papers)Biomolecules (2 papers)Haematologica (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesNorwayNew Zealand
In The Last Decade
Indranil Basak
20 papers receiving 487 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 97
- Neurology 87
- Neurology 44
- Hematology 37
- Cellular and Molecular Neuroscience 62
Countries citing papers authored by Indranil Basak
This map shows the geographic impact of Indranil Basak'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 Indranil Basak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indranil Basak more than expected).
Fields of papers citing papers by Indranil Basak
This network shows the impact of papers produced by Indranil Basak. 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 Indranil Basak. The network helps show where Indranil Basak may publish in the future.
Co-authors
The 25 scholars most cited alongside Indranil Basak, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 97 | |
| 2 | 2014 | 60 | |
| 3 | 2020 | 40 | |
| 4 | 2016 | 38 | |
| 5 | 2019 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2021 | 17 | |
| 12 | 2014 | 16 | |
| 13 | 2012 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2016 | 9 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 1 | |
| 20 | 2015 | 1 |
About Indranil Basak
Indranil Basak is a scholar working on Neurology, Molecular Biology, Cancer Research, Neurology and Physiology, having authored 21 papers that have together received 492 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological diseases and metabolism (4 papers), Platelet Disorders and Treatments (4 papers), Alzheimer's disease research and treatments (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (97 citations), Neurology (87 citations), Neurology (44 citations), Hematology (37 citations) and Cellular and Molecular Neuroscience (62 citations). Indranil Basak has collaborated with scholars based in United States, Norway and New Zealand. Frequent co-authors include Simon Geir Møller, Ketan S. Patil, Guido Alves, Rashed Abdullah, Paul F. Bray, Matthew T. Rondina, Andrew S. Weyrich, Wim Deferme, Leonard C. Edelstein and Seema Bhatlekar. Their work appears in journals such as Blood, Cellular and Molecular Life Sciences, Biomolecules, Haematologica and The FASEB Journal.
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.