Venkatachalam Udhayakumar
- Parasitology top 0.2%
- Parasites and Host Interactions 17
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- Malaria Research and Control 160
- Mosquito-borne diseases and control 100
- Virology top 2%
- HIV Research and Treatment 13
- Immunology top 2%
- Complement system in diseases 26
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 17
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- Trypanosoma species research and implications 21
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- vaccines and immunoinformatics approaches 11
- Co-authors
- Naomi W. LucchiAltaf A. LalBernard L. NahlenJohn W. BarnwellAnanías A. EscalanteFeiko O. ter KuileSimon KariukiMichael Aidoo
- Journals
- The Lancet (2 papers)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesKenyaIndia
In The Last Decade
Venkatachalam Udhayakumar
177 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 139
- Parasitology 1.4k
- Public Health, Environmental and Occupational Health 5.8k
- Virology 367
- Immunology 1.5k
- Computational Theory and Mathematics 679
Countries citing papers authored by Venkatachalam Udhayakumar
This map shows the geographic impact of Venkatachalam Udhayakumar'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 Venkatachalam Udhayakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkatachalam Udhayakumar more than expected).
Fields of papers citing papers by Venkatachalam Udhayakumar
This network shows the impact of papers produced by Venkatachalam Udhayakumar. 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 Venkatachalam Udhayakumar. The network helps show where Venkatachalam Udhayakumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Venkatachalam Udhayakumar, 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 | 2022 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 100 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 46 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 97 | |
| 12 | 2014 | 23 | |
| 13 | 2012 | 45 | |
| 14 | 2011 | 10 | |
| 15 | 2010 | 44 | |
| 16 | 2008 | 16 | |
| 17 | 2008 | 16 | |
| 18 | 2007 | 17 | |
| 19 | 2002 | 150 | |
| 20 | 2002 | 13 |
About Venkatachalam Udhayakumar
Venkatachalam Udhayakumar is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Virology, having authored 178 papers that have together received 7.4k indexed citations. Recurring topics across this work include Malaria Research and Control (160 papers), Mosquito-borne diseases and control (100 papers), Complement system in diseases (26 papers), Trypanosoma species research and implications (21 papers), Parasites and Host Interactions (17 papers), Computational Drug Discovery Methods (17 papers), HIV Research and Treatment (13 papers) and vaccines and immunoinformatics approaches (11 papers). The work is most often cited by research in Parasitology (1.4k citations), Public Health, Environmental and Occupational Health (5.8k citations) and Virology (367 citations). Venkatachalam Udhayakumar has collaborated with scholars based in United States, Kenya and India. Frequent co-authors include Naomi W. Lucchi, Altaf A. Lal, Bernard L. Nahlen, John W. Barnwell, Ananías A. Escalante, Feiko O. ter Kuile, Simon Kariuki, Michael Aidoo, Ya Ping Shi and Sean M. Griffing. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.