Subramanian Boopathi
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Physiology
- Organic Chemistry
- Co-authors
- P. KolandaivelAdolfo B. PomaPonmalai KolandaivelRamón Garduño‐JuárezHoracio V. GuzmanRodrigo A. MoreiraJoseph L. BakerWendy González
- Topics
- Alzheimer's disease research and treatments (12 papers)Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (8 papers)
In The Last Decade
Subramanian Boopathi
22 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 257
- Computational Theory and Mathematics 226
- Molecular Biology 212
- Physiology 150
- Organic Chemistry 89
Countries citing papers authored by Subramanian Boopathi
This map shows the geographic impact of Subramanian Boopathi'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 Subramanian Boopathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subramanian Boopathi more than expected).
Fields of papers citing papers by Subramanian Boopathi
This network shows the impact of papers produced by Subramanian Boopathi. 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 Subramanian Boopathi. The network helps show where Subramanian Boopathi may publish in the future.
Co-authorship network of co-authors of Subramanian Boopathi
This figure shows the co-authorship network connecting the top 25 collaborators of Subramanian Boopathi. A scholar is included among the top collaborators of Subramanian Boopathi 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 Subramanian Boopathi. Subramanian Boopathi 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 | 14 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | Novel 2019 coronavirus structure, mechanism of action, antiviral drug promises and rule out against its treatmentbreakdown → | 401 |
| 8 | 11 | |
| 9 | Economic valuation of recreational benefits from government botanical garden, the Nilgiris: An individual travel cost approach | 1 |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 65 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 39 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 26 | |
| 19 | 16 | |
| 20 | Economic and Environmental Consequences of the impact of Industrial pollution: A case experience of Domestic Rural Water Supply | 7 |
About Subramanian Boopathi
Subramanian Boopathi is a scholar working on Computational Theory and Mathematics, Physiology and Pharmacology, having authored 23 papers that have together received 727 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Computational Theory and Mathematics (226 citations), Infectious Diseases (257 citations) and Physiology (150 citations). Subramanian Boopathi has collaborated with scholars based in India, Chile and Mexico. Frequent co-authors include P. Kolandaivel, Adolfo B. Poma, Ponmalai Kolandaivel, Ramón Garduño‐Juárez, Horacio V. Guzman, Rodrigo A. Moreira, Joseph L. Baker, Wendy González, Mai Suan Li and Pramod B. Pansuriya. Their work appears in journals such as International Journal of Molecular Sciences, RSC Advances 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.