Pooja Singh
Impact in
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- Computational Drug Discovery Methods
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- Microbial bioremediation and biosurfactants
Papers in
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- Computational Drug Discovery Methods 5
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- Drug Solubulity and Delivery Systems 2
- Co-authors
- Rahul Singh (1 shared paper)Vijay Kumar Bhardwaj (1 shared paper)Sanjay Kumar (1 shared paper)Rituraj Purohit (1 shared paper)Singh Rajender (7 shared papers)Preeti Srivastava (3 shared papers)Rituraj Konwar (3 shared papers)Keun Woo Lee (6 shared papers)
- Journals
- Pharmaceuticals (2 papers)Journal of Drug Delivery Science and Technology (2 papers)PLoS ONE (2 papers)Journal of Theoretical Biology (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- IndiaSouth KoreaSpain
In The Last Decade
Pooja Singh
29 papers receiving 415 citations
Peers
Comparison fields: 5 of 64
- Computational Theory and Mathematics 83
- Pollution 31
- Genetics 76
- Molecular Biology 84
- Nutrition and Dietetics 17
Countries citing papers authored by Pooja Singh
This map shows the geographic impact of Pooja Singh'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 Pooja Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Singh more than expected).
Fields of papers citing papers by Pooja Singh
This network shows the impact of papers produced by Pooja Singh. 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 Pooja Singh. The network helps show where Pooja Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Pooja Singh, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2012 | 51 | |
| 3 | 2016 | 37 | |
| 4 | 2019 | 28 | |
| 5 | 2013 | 26 | |
| 6 | 2009 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2010 | 4 |
About Pooja Singh
Pooja Singh is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science, Genetics, Pollution and Molecular Biology, having authored 29 papers that have together received 420 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Drug Solubulity and Delivery Systems (2 papers), Catalysis and Hydrodesulfurization Studies (2 papers), Microbial bioremediation and biosurfactants (2 papers), Genetic Associations and Epidemiology (2 papers), Migraine and Headache Studies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Pollution (31 citations), Genetics (76 citations), Molecular Biology (84 citations) and Nutrition and Dietetics (17 citations). Pooja Singh has collaborated with scholars based in India, South Korea and Spain. Frequent co-authors include Rahul Singh, Vijay Kumar Bhardwaj, Sanjay Kumar, Rituraj Purohit, Singh Rajender, Preeti Srivastava, Rituraj Konwar, Keun Woo Lee, Vikas Kumar and Vadithe Lakshma Nayak. Their work appears in journals such as Pharmaceuticals, Journal of Drug Delivery Science and Technology, PLoS ONE, Journal of Theoretical Biology and Journal of Ethnopharmacology.
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.