C. Gopi Mohan
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Computational Theory and Mathematics top 1%
- Molecular Medicine top 2%
- Co-authors
- Raja BiswasMaitrayee ChatterjeeV. Anil KumarLalitha BiswasVivek KumarAdyary FallareroAnil KumarR. Jayakumar
- Topics
- Computational Drug Discovery Methods (21 papers)Cholinesterase and Neurodegenerative Diseases (15 papers)Synthesis and biological activity (10 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBiochemistry
- Partner nations
- IndiaFinlandUnited States
In The Last Decade
C. Gopi Mohan
98 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 825
- Organic Chemistry 525
- Pharmacology 414
- Computational Theory and Mathematics 363
- Molecular Medicine 176
Countries citing papers authored by C. Gopi Mohan
This map shows the geographic impact of C. Gopi Mohan'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 C. Gopi Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Gopi Mohan more than expected).
Fields of papers citing papers by C. Gopi Mohan
This network shows the impact of papers produced by C. Gopi Mohan. 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 C. Gopi Mohan. The network helps show where C. Gopi Mohan may publish in the future.
Co-authorship network of co-authors of C. Gopi Mohan
This figure shows the co-authorship network connecting the top 25 collaborators of C. Gopi Mohan. A scholar is included among the top collaborators of C. Gopi Mohan 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 C. Gopi Mohan. C. Gopi Mohan 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 | 8 | |
| 3 | 21 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 85 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 69 | |
| 13 | 5 | |
| 14 | DEVELOPMENT OF FORMALDEHYDE-FREE LEATHERS IN PERSPECTIVE OF RETANNING: PART 1. BENCHMARKING FOR THE EVOLUTION OF A SINGLE SYNTAN SYSTEM | 5 |
| 15 | 34 | |
| 16 | 9 | |
| 17 | 57 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Real-Time Databases (Panel) | 1 |
About C. Gopi Mohan
C. Gopi Mohan is a scholar working on Computational Theory and Mathematics, Pharmacology and Endocrinology, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Cholinesterase and Neurodegenerative Diseases (15 papers) and Synthesis and biological activity (10 papers). The work is most often cited by research in Molecular Medicine (176 citations), Pharmacology (414 citations) and Computational Theory and Mathematics (363 citations). C. Gopi Mohan has collaborated with scholars based in India, Finland and United States. Frequent co-authors include Raja Biswas, Maitrayee Chatterjee, V. Anil Kumar, Raja Biswas, Lalitha Biswas, Vivek Kumar, Adyary Fallarero, Anil Kumar, R. Jayakumar and Rahul Birari. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.
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.