Himanshu Pandya
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Plant Science
- Cancer Research
- Co-authors
- Sivakumar Prasanth KumarChirag PatelYogesh T. JasraiRakesh RawalKrunal ModiSaumya PatelDaxesh P. PatelFrank J. Gonzalez
- Topics
- Computational Drug Discovery Methods (22 papers)Synthesis and biological activity (7 papers)Protein Structure and Dynamics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational ChemistryProteins Structure Function and Bioinformatics
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Himanshu Pandya
68 papers receiving 682 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 255
- Computational Theory and Mathematics 186
- Organic Chemistry 122
- Plant Science 83
- Cancer Research 68
Countries citing papers authored by Himanshu Pandya
This map shows the geographic impact of Himanshu Pandya'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 Himanshu Pandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himanshu Pandya more than expected).
Fields of papers citing papers by Himanshu Pandya
This network shows the impact of papers produced by Himanshu Pandya. 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 Himanshu Pandya. The network helps show where Himanshu Pandya may publish in the future.
Co-authorship network of co-authors of Himanshu Pandya
This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu Pandya. A scholar is included among the top collaborators of Himanshu Pandya 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 Himanshu Pandya. Himanshu Pandya 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 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 24 | |
| 9 | 20 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 7 |
About Himanshu Pandya
Himanshu Pandya is a scholar working on Computational Theory and Mathematics, Ecological Modeling and Biotechnology, having authored 78 papers that have together received 691 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Synthesis and biological activity (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Computational Theory and Mathematics (186 citations), Ecological Modeling (27 citations) and Pharmacology (48 citations). Himanshu Pandya has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Sivakumar Prasanth Kumar, Chirag Patel, Yogesh T. Jasrai, Rakesh Rawal, Krunal Modi, Saumya Patel, Daxesh P. Patel, Frank J. Gonzalez, John J. Georrge and Chandra Prakash Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.
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.