Karthik Paranthaman
- Endocrinology top 10%
- Escherichia coli research studies 3
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 6
- Antimicrobial Resistance in Staphylococcus 4
- SARS-CoV-2 and COVID-19 Research 3
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- Vaccine Coverage and Hesitancy 6
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 3
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- Salmonella and Campylobacter epidemiology 5
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- Streptococcal Infections and Treatments 3
- Co-authors
- Richard PebodyJulian P. T. HigginsClare E. FrenchClaire JenkinsJonathan S. Nguyen‐Van‐TamCaroline CoopeCharles BeckNagalingeswaran Kumarasamy
- Journals
- Emerging infectious diseases (1 paper)PLoS Computational Biology (1 paper)Journal of Epidemiology & Community Health (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Karthik Paranthaman
32 papers receiving 324 citations
Peers
Comparison fields: 5 of 76
- Endocrinology 41
- Infectious Diseases 137
- Health 45
- Modeling and Simulation 21
- Epidemiology 126
Countries citing papers authored by Karthik Paranthaman
This map shows the geographic impact of Karthik Paranthaman'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 Karthik Paranthaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Paranthaman more than expected).
Fields of papers citing papers by Karthik Paranthaman
This network shows the impact of papers produced by Karthik Paranthaman. 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 Karthik Paranthaman. The network helps show where Karthik Paranthaman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karthik Paranthaman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 15 | |
| 11 | HCV testing in NSP (needle and syringe provision) community pharmacies pilot (phase 2). Report and findings. | 2019 | 1 |
| 12 | 2018 | 1 | |
| 13 | 2016 | 9 | |
| 14 | 2013 | 12 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2011 | 3 | |
| 18 | 2010 | 5 | |
| 19 | 2009 | 6 | |
| 20 | 2008 | 1 |
About Karthik Paranthaman
Karthik Paranthaman is a scholar working on Endocrinology, Health and Infectious Diseases, having authored 34 papers that have together received 328 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Salmonella and Campylobacter epidemiology (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Streptococcal Infections and Treatments (3 papers), Escherichia coli research studies (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Endocrinology (41 citations), Infectious Diseases (137 citations) and Health (45 citations). Karthik Paranthaman has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Richard Pebody, Julian P. T. Higgins, Clare E. French, Claire Jenkins, Jonathan S. Nguyen‐Van‐Tam, Caroline Coope, Charles Beck, Nagalingeswaran Kumarasamy, Premila Webster and Lukeki Kaindama. Their work appears in journals such as Emerging infectious diseases, PLoS Computational Biology and Journal of Epidemiology & Community Health.
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.