Pukar Khanal
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Complementary and alternative medicine top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 2%
- Co-authors
- B. M. PatilShailendra GuravYadu Nandan DeyVishal S. PatilMuniappan AyyanarNilambari GuravPrarambh S. R. DwivediRupesh V. Chikhale
- Topics
- Computational Drug Discovery Methods (24 papers)Natural Antidiabetic Agents Studies (22 papers)Pharmacological Effects of Natural Compounds (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaNepalUnited Kingdom
In The Last Decade
Pukar Khanal
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 431
- Computational Theory and Mathematics 300
- Complementary and alternative medicine 269
- Endocrinology, Diabetes and Metabolism 263
- Pharmacology 262
Countries citing papers authored by Pukar Khanal
This map shows the geographic impact of Pukar Khanal'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 Pukar Khanal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pukar Khanal more than expected).
Fields of papers citing papers by Pukar Khanal
This network shows the impact of papers produced by Pukar Khanal. 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 Pukar Khanal. The network helps show where Pukar Khanal may publish in the future.
Co-authorship network of co-authors of Pukar Khanal
This figure shows the co-authorship network connecting the top 25 collaborators of Pukar Khanal. A scholar is included among the top collaborators of Pukar Khanal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pukar Khanal. Pukar Khanal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 27 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 3 | |
| 16 | 34 | |
| 17 | 12 | |
| 18 | 18 | |
| 19 | 43 | |
| 20 | 24 |
About Pukar Khanal
Pukar Khanal is a scholar working on Pharmacology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Natural Antidiabetic Agents Studies (22 papers) and Pharmacological Effects of Natural Compounds (7 papers). The work is most often cited by research in Complementary and alternative medicine (269 citations), Pharmacology (262 citations) and Biochemistry (134 citations). Pukar Khanal has collaborated with scholars based in India, Nepal and United Kingdom. Frequent co-authors include B. M. Patil, Shailendra Gurav, Yadu Nandan Dey, Vishal S. Patil, Muniappan Ayyanar, Nilambari Gurav, Prarambh S. R. Dwivedi, Rupesh V. Chikhale, Manish Wanjari and Subarna Roy. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific 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.