Subhash Chandra
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Computational Drug Discovery Methods 27
- Co-authors
- Tushar Joshi (29 shared papers)Tanuja Joshi (23 shared papers)Priyanka Sharma (23 shared papers)Shalini Mathpal (22 shared papers)Hemlata Pundir (13 shared papers)Veena Pande (14 shared papers)Sushma Tamta (9 shared papers)Krishna Kishore Mahato (18 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (25 papers)Molecular Diversity (3 papers)Journal of Molecular Graphics and Modelling (3 papers)Journal of Biophotonics (3 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Subhash Chandra
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 399
- Pharmacology 146
- Complementary and alternative medicine 107
- Drug Discovery 2
- Infectious Diseases 169
Countries citing papers authored by Subhash Chandra
This map shows the geographic impact of Subhash Chandra'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 Subhash Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Chandra more than expected).
Fields of papers citing papers by Subhash Chandra
This network shows the impact of papers produced by Subhash Chandra. 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 Subhash Chandra. The network helps show where Subhash Chandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhash Chandra, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 150 | |
| 2 | 2020 | 86 | |
| 3 | 2020 | 65 | |
| 4 | 2019 | 64 | |
| 5 | 2020 | 60 | |
| 6 | 2023 | 57 | |
| 7 | 2020 | 47 | |
| 8 | 2006 | 44 | |
| 9 | 2019 | 43 | |
| 10 | 2011 | 42 | |
| 11 | 2020 | 41 | |
| 12 | 2019 | 39 | |
| 13 | 2016 | 32 | |
| 14 | 2016 | 29 | |
| 15 | 2021 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 25 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 18 | |
| 20 | 2024 | 17 |
About Subhash Chandra
Subhash Chandra is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Plant Science and Organic Chemistry, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Synthesis and biological activity (11 papers), Natural Antidiabetic Agents Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Diverse Scientific Research Studies (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Orthodontics and Dentofacial Orthopedics (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (399 citations), Pharmacology (146 citations), Complementary and alternative medicine (107 citations), Drug Discovery (2 citations) and Infectious Diseases (169 citations). Subhash Chandra has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Tushar Joshi, Tanuja Joshi, Priyanka Sharma, Shalini Mathpal, Hemlata Pundir, Veena Pande, Sushma Tamta, Krishna Kishore Mahato, Vaibhav D. Bhatt and Priyanka Sharma. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecular Diversity, Journal of Molecular Graphics and Modelling, Journal of Biophotonics and International Journal of Biological Macromolecules.
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.