Sankha Subhra Das
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Hemoglobinopathies and Related Disorders
- Evolution and Genetic Dynamics
Papers in
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- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Nishant Chakravorty (7 shared papers)Subhankar Banerjee (1 shared paper)Pallav Sengupta (1 shared paper)P. Sáha (1 shared paper)Kunal Chakraborty (1 shared paper)Sandip Paul (1 shared paper)Kirsi H. Pietiläinen (4 shared papers)Päivi Pajukanta (4 shared papers)
- Journals
- Database (2 papers)Genomics (2 papers)Nature Communications (1 paper)Gene (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- IndiaUnited StatesFinland
In The Last Decade
Sankha Subhra Das
18 papers receiving 250 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 71
- Genetics 45
- Hematology 32
- Health, Toxicology and Mutagenesis 40
- Reproductive Medicine 14
Countries citing papers authored by Sankha Subhra Das
This map shows the geographic impact of Sankha Subhra Das'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 Sankha Subhra Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankha Subhra Das more than expected).
Fields of papers citing papers by Sankha Subhra Das
This network shows the impact of papers produced by Sankha Subhra Das. 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 Sankha Subhra Das. The network helps show where Sankha Subhra Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sankha Subhra Das, 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 | 2014 | 67 | |
| 2 | 2018 | 35 | |
| 3 | 2020 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2019 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2014 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 1 | |
| 18 | The Initiatives and Role of Librarians towards Open Access | 2019 | 1 |
| 19 | 2018 | 0 | |
| 20 | ANALYSIS OF NATIONAL LIBRARY WEBSITE OF BRICS COUNTRIES: A COMPARATIVE STUDY | 2021 | 0 |
About Sankha Subhra Das
Sankha Subhra Das is a scholar working on Molecular Biology, Cancer Research, Genetics, Hematology and Information Systems, having authored 20 papers that have together received 253 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Iron Metabolism and Disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Web visibility and informetrics (2 papers), Epigenetics and DNA Methylation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (71 citations), Genetics (45 citations), Hematology (32 citations), Health, Toxicology and Mutagenesis (40 citations) and Reproductive Medicine (14 citations). Sankha Subhra Das has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Nishant Chakravorty, Subhankar Banerjee, Pallav Sengupta, P. Sáha, Kunal Chakraborty, Sandip Paul, Kirsi H. Pietiläinen, Päivi Pajukanta, Subhayan Das and Tuphan Kanti Dolai. Their work appears in journals such as Database, Genomics, Nature Communications, Gene and Blood Cells Molecules and Diseases.
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.