Gourav Choudhir
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Infectious Diseases
- Pharmacology top 10%
- Complementary and alternative medicine top 10%
- Co-authors
- Anuj KumarMadhu RathoreSanjeev Kumar ShuklaPankaj TyagiMansi SharmaP. HariprasadSatyawati SharmaSushil Kumar
- Topics
- Computational Drug Discovery Methods (11 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Essential Oils and Antimicrobial Activity (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchScientific Reports
- Partner nations
- IndiaSaudi ArabiaUnited Arab Emirates
In The Last Decade
Gourav Choudhir
20 papers receiving 345 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 155
- Molecular Biology 93
- Infectious Diseases 79
- Pharmacology 72
- Complementary and alternative medicine 57
Countries citing papers authored by Gourav Choudhir
This map shows the geographic impact of Gourav Choudhir'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 Gourav Choudhir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gourav Choudhir more than expected).
Fields of papers citing papers by Gourav Choudhir
This network shows the impact of papers produced by Gourav Choudhir. 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 Gourav Choudhir. The network helps show where Gourav Choudhir may publish in the future.
Co-authorship network of co-authors of Gourav Choudhir
This figure shows the co-authorship network connecting the top 25 collaborators of Gourav Choudhir. A scholar is included among the top collaborators of Gourav Choudhir 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 Gourav Choudhir. Gourav Choudhir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 10 | |
| 19 | 60 | |
| 20 | 26 |
About Gourav Choudhir
Gourav Choudhir is a scholar working on Computational Theory and Mathematics, Pharmacology and Toxicology, having authored 27 papers that have together received 346 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Essential Oils and Antimicrobial Activity (4 papers). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Pharmacology (72 citations) and Complementary and alternative medicine (57 citations). Gourav Choudhir has collaborated with scholars based in India, Saudi Arabia and United Arab Emirates. Frequent co-authors include Anuj Kumar, Madhu Rathore, Sanjeev Kumar Shukla, Pankaj Tyagi, Mansi Sharma, P. Hariprasad, Satyawati Sharma, Sushil Kumar, Vasantharaja Raguraman and Abhay Tiwari. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research 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.