Avinash Das
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Nuclear Structure and Function 1
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Bioinformatics and Genomic Networks 1
- Genetics 2
- Co-authors
- Sridhar Hannenhalli (7 shared papers)Mahashweta Basu (3 shared papers)Di Wu (1 shared paper)Shrutii Sarda (1 shared paper)Kun Wang (2 shared papers)Justin Malin (1 shared paper)Haoyue Zhang (1 shared paper)Kan Cao (2 shared papers)
- Journals
- Scientific Reports (3 papers)Nature Communications (1 paper)Journal of Pathology Informatics (1 paper)Genetics (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Avinash Das
8 papers receiving 204 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 14
- Aging 5
- Radiology, Nuclear Medicine and Imaging 37
- Endocrinology, Diabetes and Metabolism 26
- Cancer Research 22
Countries citing papers authored by Avinash Das
This map shows the geographic impact of Avinash 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 Avinash Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Das more than expected).
Fields of papers citing papers by Avinash Das
This network shows the impact of papers produced by Avinash 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 Avinash Das. The network helps show where Avinash Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Avinash 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 | 2018 | 81 | |
| 2 | 2018 | 45 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2015 | 16 | |
| 6 | 2018 | 9 | |
| 7 | 2017 | 4 | |
| 8 | 2014 | 3 |
About Avinash Das
Avinash Das is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Artificial Intelligence, having authored 8 papers that have together received 209 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), Nuclear Structure and Function (1 paper), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Health Informatics (14 citations), Aging (5 citations), Radiology, Nuclear Medicine and Imaging (37 citations), Endocrinology, Diabetes and Metabolism (26 citations) and Cancer Research (22 citations). Avinash Das has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Sridhar Hannenhalli, Mahashweta Basu, Di Wu, Shrutii Sarda, Kun Wang, Justin Malin, Haoyue Zhang, Kan Cao, Charles Vinson and Nishanth Ulhas Nair. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Pathology Informatics, Genetics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.