Pratap Parida
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
Papers in
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- Yeasts and Rust Fungi Studies 2
-
- Computational Drug Discovery Methods 8
- Co-authors
- Tapan Kumar Mohanta (6 shared papers)Hanhong Bae (4 shared papers)Dipak Paul (2 shared papers)Chandan Kanta Das (1 shared paper)Mahitosh Mandal (1 shared paper)Aditya Parekh (1 shared paper)Sujit K. Bhutia (1 shared paper)Pankaj Kumar Arora (1 shared paper)
- Journals
- Current Pharmaceutical Biotechnology (3 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Phytotherapy Research (1 paper)Medicinal Chemistry Research (1 paper)The Indian Journal of Medical Research (1 paper)
- Partner nations
- IndiaSouth KoreaQatar
In The Last Decade
Pratap Parida
33 papers receiving 622 citations
Peers
Comparison fields: 5 of 91
- Plant Science 194
- Pharmacology 42
- Toxicology 16
- Computational Theory and Mathematics 69
- Complementary and alternative medicine 33
Countries citing papers authored by Pratap Parida
This map shows the geographic impact of Pratap Parida'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 Pratap Parida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratap Parida more than expected).
Fields of papers citing papers by Pratap Parida
This network shows the impact of papers produced by Pratap Parida. 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 Pratap Parida. The network helps show where Pratap Parida may publish in the future.
Co-authors
The 25 scholars most cited alongside Pratap Parida, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2015 | 95 | |
| 3 | 2015 | 73 | |
| 4 | 2012 | 64 | |
| 5 | 2020 | 60 | |
| 6 | 2012 | 31 | |
| 7 | 2019 | 29 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2014 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2015 | 5 |
About Pratap Parida
Pratap Parida is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Infectious Diseases and Organic Chemistry, having authored 37 papers that have together received 637 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Malaria Research and Control (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Natural Antidiabetic Agents Studies (3 papers), HIV/AIDS drug development and treatment (3 papers), Yeasts and Rust Fungi Studies (2 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Plant Science (194 citations), Pharmacology (42 citations), Toxicology (16 citations), Computational Theory and Mathematics (69 citations) and Complementary and alternative medicine (33 citations). Pratap Parida has collaborated with scholars based in India, South Korea and Qatar. Frequent co-authors include Tapan Kumar Mohanta, Hanhong Bae, Dipak Paul, Chandan Kanta Das, Mahitosh Mandal, Aditya Parekh, Sujit K. Bhutia, Pankaj Kumar Arora, Yugal Kishore Mohanta and Debosree Ghosh. Their work appears in journals such as Current Pharmaceutical Biotechnology, Combinatorial Chemistry & High Throughput Screening, Phytotherapy Research, Medicinal Chemistry Research and The Indian Journal of Medical Research.
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.