John C. Tan
Impact in
- Parasitology top 10%
-
- Invertebrate Immune Response Mechanisms
Papers in
-
- Malaria Research and Control 11
- Mosquito-borne diseases and control 4
-
- Genomics and Phylogenetic Studies 3
- Co-authors
- Erliang Zeng (5 shared papers)Michael T. Ferdig (8 shared papers)Prachi Singh (1 shared paper)Jeffrey S. Schorey (1 shared paper)Changde Cheng (3 shared papers)Nora J. Besansky (3 shared papers)Matthew W. Hahn (3 shared papers)Asako Tan (6 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Molecular Ecology (3 papers)BMC Genomics (2 papers)Molecular Microbiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesThailandSwitzerland
In The Last Decade
John C. Tan
27 papers receiving 663 citations
Peers
Comparison fields: 5 of 79
- Parasitology 56
- Immunology 166
- Public Health, Environmental and Occupational Health 218
- Aging 9
- Molecular Biology 287
Countries citing papers authored by John C. Tan
This map shows the geographic impact of John C. Tan'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 John C. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Tan more than expected).
Fields of papers citing papers by John C. Tan
This network shows the impact of papers produced by John C. Tan. 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 John C. Tan. The network helps show where John C. Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 104 | |
| 2 | 2012 | 65 | |
| 3 | 2013 | 52 | |
| 4 | 2005 | 41 | |
| 5 | 2010 | 40 | |
| 6 | 2015 | 36 | |
| 7 | 2018 | 35 | |
| 8 | 2011 | 30 | |
| 9 | 2009 | 27 | |
| 10 | 2014 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2014 | 25 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2011 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2018 | 11 |
About John C. Tan
John C. Tan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Epidemiology, having authored 27 papers that have together received 668 indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Invertebrate Immune Response Mechanisms (4 papers), Mosquito-borne diseases and control (4 papers), Physiological and biochemical adaptations (3 papers), Genomics and Phylogenetic Studies (3 papers), Aquaculture disease management and microbiota (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Parasitology (56 citations), Immunology (166 citations), Public Health, Environmental and Occupational Health (218 citations), Aging (9 citations) and Molecular Biology (287 citations). John C. Tan has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Erliang Zeng, Michael T. Ferdig, Prachi Singh, Jeffrey S. Schorey, Changde Cheng, Nora J. Besansky, Matthew W. Hahn, Asako Tan, Suzanne S. Bohlson and Manuel Galvan. Their work appears in journals such as Frontiers in Immunology, Molecular Ecology, BMC Genomics, Molecular Microbiology and Scientific Reports.
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.