Manish Paul
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Pharmacology top 10%
- Apelin-related biomedical research
Papers in
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- Microbial Metabolic Engineering and Bioproduction 6
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- Enzyme Production and Characterization 5
- Microbial Metabolism and Applications 3
- Co-authors
- Hrudayanath Thatoi (15 shared papers)Saugata Hazra (8 shared papers)Pradeep K. Das Mohapatra (7 shared papers)Gavin Y. Oudit (4 shared papers)Brent A. McLean (3 shared papers)Wang Wang (2 shared papers)John C. Vederas (2 shared papers)Sonali Mohapatra (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (7 papers)Bioresource Technology (2 papers)Nature Communications (1 paper)Hypertension (1 paper)Cell Reports (1 paper)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Manish Paul
34 papers receiving 681 citations
Peers
Comparison fields: 5 of 98
- Biotechnology 95
- Pharmacology 132
- Infectious Diseases 70
- Molecular Biology 228
- Computational Theory and Mathematics 51
Countries citing papers authored by Manish Paul
This map shows the geographic impact of Manish Paul'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 Manish Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Paul more than expected).
Fields of papers citing papers by Manish Paul
This network shows the impact of papers produced by Manish Paul. 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 Manish Paul. The network helps show where Manish Paul may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Paul, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 148 | |
| 2 | 2018 | 61 | |
| 3 | 2019 | 48 | |
| 4 | 2021 | 46 | |
| 5 | 2016 | 42 | |
| 6 | 2023 | 39 | |
| 7 | 2013 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2023 | 31 | |
| 10 | 2021 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 6 |
About Manish Paul
Manish Paul is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Plant Science and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 691 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (7 papers), Enzyme-mediated dye degradation (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Enzyme Production and Characterization (5 papers), Enzyme Structure and Function (3 papers), Microbial Metabolism and Applications (3 papers), Apelin-related biomedical research (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Biotechnology (95 citations), Pharmacology (132 citations), Infectious Diseases (70 citations), Molecular Biology (228 citations) and Computational Theory and Mathematics (51 citations). Manish Paul has collaborated with scholars based in India, United States and France. Frequent co-authors include Hrudayanath Thatoi, Saugata Hazra, Pradeep K. Das Mohapatra, Gavin Y. Oudit, Brent A. McLean, Wang Wang, John C. Vederas, Sonali Mohapatra, Tyler McDonald and Shaun M. K. McKinnie. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioresource Technology, Nature Communications, Hypertension and Cell Reports.
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.