Kuldeep K. Roy
-
- Computational Drug Discovery Methods 15
- Organic Chemistry top 5%
- Synthesis and biological activity 7
- Toxicology top 5%
- Pharmacology top 5%
- Cannabis and Cannabinoid Research 4
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 6
-
- Cancer therapeutics and mechanisms 6
- Receptor Mechanisms and Signaling 6
- ATP Synthase and ATPases Research 4
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Anil K. SaxenaRobert J. DoerksenMushtaq Ahmad WaniAnshuman DixitChandishwar NathPankaj PandeySandeep SharmaRanjana Srivastava
- Journals
- Journal of Medicinal Chemistry (3 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Molecules (1 paper)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Kuldeep K. Roy
48 papers receiving 971 citations
Peers
Comparison fields: 5 of 109
- Computational Theory and Mathematics 259
- Organic Chemistry 379
- Toxicology 44
- Pharmacology 213
- Infectious Diseases 144
Countries citing papers authored by Kuldeep K. Roy
This map shows the geographic impact of Kuldeep K. Roy'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 Kuldeep K. Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuldeep K. Roy more than expected).
Fields of papers citing papers by Kuldeep K. Roy
This network shows the impact of papers produced by Kuldeep K. Roy. 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 Kuldeep K. Roy. The network helps show where Kuldeep K. Roy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuldeep K. Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 22 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 20 | |
| 10 | 2018 | 8 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 39 | |
| 13 | 2013 | 23 | |
| 14 | 2012 | 28 | |
| 15 | 2012 | 10 | |
| 16 | 2011 | 49 | |
| 17 | 2011 | 72 | |
| 18 | 2011 | 9 | |
| 19 | 2010 | 12 | |
| 20 | 2008 | 26 |
About Kuldeep K. Roy
Kuldeep K. Roy is a scholar working on Computational Theory and Mathematics, Toxicology and Pharmacology, having authored 49 papers that have together received 985 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (6 papers), Tuberculosis Research and Epidemiology (6 papers), Receptor Mechanisms and Signaling (6 papers), ATP Synthase and ATPases Research (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (259 citations), Organic Chemistry (379 citations) and Toxicology (44 citations). Kuldeep K. Roy has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Anil K. Saxena, Anil K. Saxena, Robert J. Doerksen, Mushtaq Ahmad Wani, Anshuman Dixit, Chandishwar Nath, Pankaj Pandey, Sandeep Sharma, Ranjana Srivastava and Vivek K. Kashyap. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Molecules.
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.