Deepak Singla
Impact in
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- Computational Drug Discovery Methods
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- vaccines and immunoinformatics approaches 7
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 5
-
- Plant Virus Research Studies 5
- Plant Molecular Biology Research 3
- Co-authors
- Gajendra P. S. Raghava (12 shared papers)Arun Sharma (3 shared papers)Mamoon Rashid (2 shared papers)Sandeep Kumar Dhanda (4 shared papers)Subhash Mohan Agarwal (2 shared papers)Sandeep Singh (1 shared paper)Harinder Singh (1 shared paper)Alok K. Mondal (1 shared paper)
- Journals
- Scientific Reports (5 papers)PLoS ONE (4 papers)Frontiers in Plant Science (3 papers)Functional & Integrative Genomics (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Deepak Singla
39 papers receiving 659 citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 183
- Microbiology 56
- Molecular Biology 366
- Insect Science 53
- Horticulture 4
Countries citing papers authored by Deepak Singla
This map shows the geographic impact of Deepak Singla'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 Deepak Singla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Singla more than expected).
Fields of papers citing papers by Deepak Singla
This network shows the impact of papers produced by Deepak Singla. 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 Deepak Singla. The network helps show where Deepak Singla may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Singla, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2015 | 62 | |
| 3 | 2013 | 42 | |
| 4 | 2010 | 40 | |
| 5 | 2014 | 33 | |
| 6 | 2018 | 29 | |
| 7 | 2011 | 29 | |
| 8 | 2009 | 26 | |
| 9 | 2019 | 26 | |
| 10 | 2017 | 25 | |
| 11 | 2017 | 20 | |
| 12 | 2013 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2016 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2022 | 14 | |
| 20 | 2022 | 13 |
About Deepak Singla
Deepak Singla is a scholar working on Molecular Biology, Plant Science, Computational Theory and Mathematics, Organic Chemistry and Genetics, having authored 42 papers that have together received 675 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), vaccines and immunoinformatics approaches (7 papers), Genomics and Phylogenetic Studies (5 papers), Plant Virus Research Studies (5 papers), Machine Learning in Bioinformatics (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Synthesis and biological activity (4 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (183 citations), Microbiology (56 citations), Molecular Biology (366 citations), Insect Science (53 citations) and Horticulture (4 citations). Deepak Singla has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Gajendra P. S. Raghava, Arun Sharma, Mamoon Rashid, Sandeep Kumar Dhanda, Subhash Mohan Agarwal, Sandeep Singh, Harinder Singh, Alok K. Mondal, Bonamali Pal and Aadil Bathla. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Plant Science, Functional & Integrative Genomics and BMC 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.