Parasuraman Ganeshkumar
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Infectious Diseases top 10%
- General Health Professions top 10%
- Sociology and Political Science
- Co-authors
- S. GopalakrishnanRam MadhavanSanjay MehendaleManoj MurhekarDenny JohnM. SaravananChristopher ChristopherRamasamy Aarthy
- Topics
- COVID-19 epidemiological studies (11 papers)Healthcare Systems and Reforms (5 papers)COVID-19 and healthcare impacts (5 papers)
- Cited by
- Applied Microbiology and BiotechnologyHealth InformaticsStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEmerging infectious diseases
- Partner nations
- IndiaAustraliaSouth Africa
In The Last Decade
Parasuraman Ganeshkumar
37 papers receiving 996 citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Public Health, Environmental and Occupational Health 251
- Epidemiology 161
- Infectious Diseases 149
- General Health Professions 131
- Sociology and Political Science 96
Countries citing papers authored by Parasuraman Ganeshkumar
This map shows the geographic impact of Parasuraman Ganeshkumar'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 Parasuraman Ganeshkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parasuraman Ganeshkumar more than expected).
Fields of papers citing papers by Parasuraman Ganeshkumar
This network shows the impact of papers produced by Parasuraman Ganeshkumar. 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 Parasuraman Ganeshkumar. The network helps show where Parasuraman Ganeshkumar may publish in the future.
Co-authorship network of co-authors of Parasuraman Ganeshkumar
This figure shows the co-authorship network connecting the top 25 collaborators of Parasuraman Ganeshkumar. A scholar is included among the top collaborators of Parasuraman Ganeshkumar 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 Parasuraman Ganeshkumar. Parasuraman Ganeshkumar 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 149 | |
| 17 | 17 | |
| 18 | 22 | |
| 19 | 99 | |
| 20 | 40 |
About Parasuraman Ganeshkumar
Parasuraman Ganeshkumar is a scholar working on Modeling and Simulation, Health Informatics and Medical Laboratory Technology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Healthcare Systems and Reforms (5 papers) and COVID-19 and healthcare impacts (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (26 citations), Health Informatics (14 citations) and Statistics, Probability and Uncertainty (66 citations). Parasuraman Ganeshkumar has collaborated with scholars based in India, Australia and South Africa. Frequent co-authors include S. Gopalakrishnan, Ram Madhavan, Sanjay Mehendale, Manoj Murhekar, Denny John, M. Saravanan, Christopher Christopher, Ramasamy Aarthy, Vijayaprasad Gopichandran and Prabhdeep Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Emerging infectious diseases.
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.