Debasis Dash
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
Papers in
-
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 10
- Machine Learning in Bioinformatics 8
- Protein Structure and Dynamics 8
-
- Agricultural pest management studies 6
- Co-authors
- Dhirendra Kumar (20 shared papers)Gajinder Pal Singh (6 shared papers)Mythily Ganapathi (3 shared papers)Amit Kumar Yadav (11 shared papers)Kuljeet Singh Sandhu (3 shared papers)Samir K. Brahmachari (10 shared papers)Ankita Narang (9 shared papers)Trayambak Basak (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)Scientific Reports (4 papers)Bioinformatics (4 papers)Journal of Biomolecular Structure and Dynamics (4 papers)PLoS ONE (4 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Debasis Dash
108 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.2k
- Spectroscopy 229
- Pollution 132
- Genetics 291
- Paleontology 69
Countries citing papers authored by Debasis Dash
This map shows the geographic impact of Debasis Dash'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 Debasis Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasis Dash more than expected).
Fields of papers citing papers by Debasis Dash
This network shows the impact of papers produced by Debasis Dash. 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 Debasis Dash. The network helps show where Debasis Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Debasis Dash, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 136 | |
| 2 | 2016 | 131 | |
| 3 | 2015 | 90 | |
| 4 | 2005 | 87 | |
| 5 | 2011 | 76 | |
| 6 | 2019 | 70 | |
| 7 | 2007 | 59 | |
| 8 | 2008 | 50 | |
| 9 | 2011 | 44 | |
| 10 | 2022 | 43 | |
| 11 | 2015 | 38 | |
| 12 | 2011 | 37 | |
| 13 | 2015 | 37 | |
| 14 | 2013 | 36 | |
| 15 | 2022 | 34 | |
| 16 | 2002 | 34 | |
| 17 | 2003 | 33 | |
| 18 | 2018 | 33 | |
| 19 | 2019 | 31 | |
| 20 | 2015 | 29 |
About Debasis Dash
Debasis Dash is a scholar working on Molecular Biology, Plant Science, Spectroscopy, Genetics and Infectious Diseases, having authored 114 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (8 papers), Tuberculosis Research and Epidemiology (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Agricultural pest management studies (6 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Spectroscopy (229 citations), Pollution (132 citations), Genetics (291 citations) and Paleontology (69 citations). Debasis Dash has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Dhirendra Kumar, Gajinder Pal Singh, Mythily Ganapathi, Amit Kumar Yadav, Kuljeet Singh Sandhu, Samir K. Brahmachari, Ankita Narang, Trayambak Basak, Sunanda Mishra and Alok Prasad Das. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Scientific Reports, Bioinformatics, Journal of Biomolecular Structure and Dynamics and PLoS ONE.
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.