Debasis Dash

4.6k citations
139 papers · 3.3k · h-index 32

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • Bioinformatics and Genomic Networks

Papers in

    • Genomics and Phylogenetic Studies 16
    • RNA and protein synthesis mechanisms 10
    • Machine Learning in Bioinformatics 9
    • Protein Structure and Dynamics 9
    • Metabolomics and Mass Spectrometry Studies 6
    • Tuberculosis Research and Epidemiology 9
    • SARS-CoV-2 and COVID-19 Research 7

Debasis Dash

131 papers receiving 3.2k citations

Peers

Debasis Dash
Comparison fields: 5 of 163
  • Infectious Diseases 522
  • Molecular Biology 1.6k
  • Pollution 219
  • Complementary and alternative medicine 142
  • Spectroscopy 270
Replace Vahid Jalili with:
Vahid Jalili Iran
Markus J. Herrgård Denmark
Leming M. Shi United States
Michaela Spitzer United Kingdom
Chen Yang Meng China
Peng Zhou China
C. George Priya Doss India
Eric Christian Rouchka United States
Stefan Schuster Germany
Debasis Dash relative to Vahid Jalili Iran Vahid Jalili's profile →
Citations per field
00.5×5×10×12.5×
Vahid Jalili · 1×
Citations per year

Countries citing papers authored by Debasis Dash

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Debasis Dash Line = papers co-authored together Debasis Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021211
2 2016150
3 2006138
4 2010131
5 2011116
6 201595
7 202293
8 200591
9 201984
10 201182
11 202078
12 201374
13 201864
14 200761
15 200853
16 201153
17 202352
18 202249
19 201546
20 202044

About Debasis Dash

Debasis Dash is a scholar working on Molecular Biology, Infectious Diseases, Spectroscopy, Plant Science and Pollution, having authored 139 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Advanced Proteomics Techniques and Applications (15 papers), RNA and protein synthesis mechanisms (10 papers), Tuberculosis Research and Epidemiology (9 papers), Machine Learning in Bioinformatics (9 papers), Protein Structure and Dynamics (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Infectious Diseases (522 citations), Molecular Biology (1.6k citations), Pollution (219 citations), Complementary and alternative medicine (142 citations) and Spectroscopy (270 citations). Debasis Dash has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Dhirendra Kumar, Gajinder Pal Singh, Mythily Ganapathi, Amit Kumar Yadav, Sunanda Mishra, Alok Prasad Das, Ankita Narang, Kuljeet Singh Sandhu, Samir Kumar Brahmachari and Trayambak Basak. Their work appears in journals such as PLoS ONE, Proteins Structure Function and Bioinformatics, Scientific Reports, Bioinformatics and Journal of Biomolecular Structure and Dynamics.

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.

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