Shaoli Das
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- RNA regulation and disease
Papers in
-
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 9
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Suman Ghosal (15 shared papers)Jayprokas Chakrabarti (11 shared papers)Rituparno Sen (5 shared papers)Piyali Basak (1 shared paper)Uma Shankavaram (12 shared papers)Kevin Camphausen (7 shared papers)Xiang Deng (3 shared papers)Sudhanshu Vrati (2 shared papers)
- Journals
- Scientific Reports (2 papers)Cancers (2 papers)Frontiers in Genetics (2 papers)iScience (1 paper)Aging (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Shaoli Das
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 989
- Molecular Biology 1.0k
- Endocrinology 18
- Immunology 59
- Oncology 51
Countries citing papers authored by Shaoli Das
This map shows the geographic impact of Shaoli 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 Shaoli Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoli Das more than expected).
Fields of papers citing papers by Shaoli Das
This network shows the impact of papers produced by Shaoli 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 Shaoli Das. The network helps show where Shaoli Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoli 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 394 | |
| 2 | 2014 | 264 | |
| 3 | 2014 | 141 | |
| 4 | 2013 | 91 | |
| 5 | 2018 | 51 | |
| 6 | 2016 | 47 | |
| 7 | 2014 | 40 | |
| 8 | 2020 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2017 | 27 | |
| 11 | 2011 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2013 | 8 | |
| 19 | 2023 | 5 | |
| 20 | 2012 | 5 |
About Shaoli Das
Shaoli Das is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Computational Theory and Mathematics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (989 citations), Molecular Biology (1.0k citations), Endocrinology (18 citations), Immunology (59 citations) and Oncology (51 citations). Shaoli Das has collaborated with scholars based in United States, India and France. Frequent co-authors include Suman Ghosal, Jayprokas Chakrabarti, Rituparno Sen, Piyali Basak, Uma Shankavaram, Kevin Camphausen, Xiang Deng, Sudhanshu Vrati, Arup Banerjee and Bibhabasu Hazra. Their work appears in journals such as Scientific Reports, Cancers, Frontiers in Genetics, iScience and Aging.
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.