Shuchi Nagar
Impact in
- Toxicology top 10%
Papers in
-
- Computational Drug Discovery Methods 13
-
- Synthesis and biological activity 7
- Co-authors
- Kiran Bharat Lokhande (9 shared papers)K. Venkateswara Swamy (8 shared papers)Dominique Robertson (1 shared paper)Kevin M. Carrick (1 shared paper)Thomas J. Pedersen (1 shared paper)Linda Hanley‐Bowdoin (1 shared paper)Sarika Pawar (1 shared paper)Achintya Saha (9 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (3 papers)Molecular Diversity (3 papers)Scientific Reports (1 paper)Biotechnology and Applied Biochemistry (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- IndiaUnited StatesSouth Africa
In The Last Decade
Shuchi Nagar
22 papers receiving 474 citations
Peers
Comparison fields: 5 of 78
- Toxicology 18
- Endocrinology 25
- Computational Theory and Mathematics 75
- Plant Science 159
- Horticulture 4
Countries citing papers authored by Shuchi Nagar
This map shows the geographic impact of Shuchi Nagar'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 Shuchi Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchi Nagar more than expected).
Fields of papers citing papers by Shuchi Nagar
This network shows the impact of papers produced by Shuchi Nagar. 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 Shuchi Nagar. The network helps show where Shuchi Nagar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuchi Nagar, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 147 | |
| 2 | 2019 | 118 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 26 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2008 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2007 | 9 | |
| 12 | 2007 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2010 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 2017 | 3 |
About Shuchi Nagar
Shuchi Nagar is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Genetics, Molecular Biology and Toxicology, having authored 25 papers that have together received 484 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Estrogen and related hormone effects (8 papers), Synthesis and biological activity (7 papers), Bioactive Compounds and Antitumor Agents (3 papers), Phytochemicals and Medicinal Plants (2 papers), Cancer-related Molecular Pathways (2 papers), Medicinal Plants and Neuroprotection (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Toxicology (18 citations), Endocrinology (25 citations), Computational Theory and Mathematics (75 citations), Plant Science (159 citations) and Horticulture (4 citations). Shuchi Nagar has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Kiran Bharat Lokhande, K. Venkateswara Swamy, Dominique Robertson, Kevin M. Carrick, Thomas J. Pedersen, Linda Hanley‐Bowdoin, Sarika Pawar, Achintya Saha, Swapnil Gaikwad and Shatavari Kulshrestha. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecular Diversity, Scientific Reports, Biotechnology and Applied Biochemistry and Journal of Computational Chemistry.
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.