Ken Tan
Impact in
- Insect Science top 0.2%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Bee Products Chemical Analysis
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- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
- Genetics 91
- Insect and Arachnid Ecology and Behavior 90
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- Insect and Pesticide Research 87
- Bee Products Chemical Analysis 6
- Co-authors
- James C. Nieh (29 shared papers)Shihao Dong (26 shared papers)Sarah E. Radloff (20 shared papers)H. R. Hepburn (14 shared papers)Benjamin P. Oldroyd (16 shared papers)Zhengwei Wang (13 shared papers)Xiwen Liu (8 shared papers)Weiwen Chen (4 shared papers)
- Journals
- Apidologie (13 papers)Journal of Insect Physiology (7 papers)Scientific Reports (7 papers)Journal of Experimental Biology (6 papers)Animal Behaviour (5 papers)
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Ken Tan
99 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Insect Science 1.5k
- Ecology, Evolution, Behavior and Systematics 1.4k
- Genetics 1.4k
- Cellular and Molecular Neuroscience 97
- Developmental Biology 8
Countries citing papers authored by Ken Tan
This map shows the geographic impact of Ken 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 Ken Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Tan more than expected).
Fields of papers citing papers by Ken Tan
This network shows the impact of papers produced by Ken 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 Ken Tan. The network helps show where Ken Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 108 | |
| 2 | 2015 | 106 | |
| 3 | 2010 | 105 | |
| 4 | 2014 | 86 | |
| 5 | 2012 | 86 | |
| 6 | 2017 | 53 | |
| 7 | 2012 | 49 | |
| 8 | Comparison of Medfly male-only and bisexual releases in large scale field trials. | 2000 | 48 |
| 9 | 2016 | 47 | |
| 10 | 2017 | 43 | |
| 11 | 2013 | 42 | |
| 12 | 2005 | 41 | |
| 13 | 2007 | 37 | |
| 14 | 2018 | 36 | |
| 15 | 2016 | 34 | |
| 16 | 2014 | 32 | |
| 17 | 2016 | 29 | |
| 18 | 2016 | 29 | |
| 19 | 2023 | 27 | |
| 20 | 2016 | 27 |
About Ken Tan
Ken Tan is a scholar working on Genetics, Insect Science, Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Pharmacology, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (90 papers), Insect and Pesticide Research (87 papers), Plant and animal studies (84 papers), Bee Products Chemical Analysis (6 papers), Neurobiology and Insect Physiology Research (3 papers), Antimicrobial Peptides and Activities (2 papers), Animal Behavior and Reproduction (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Insect Science (1.5k citations), Ecology, Evolution, Behavior and Systematics (1.4k citations), Genetics (1.4k citations), Cellular and Molecular Neuroscience (97 citations) and Developmental Biology (8 citations). Ken Tan has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include James C. Nieh, Shihao Dong, Sarah E. Radloff, H. R. Hepburn, Benjamin P. Oldroyd, Zhengwei Wang, Xiwen Liu, Weiwen Chen, Zhengwei Wang and Ping Wen. Their work appears in journals such as Apidologie, Journal of Insect Physiology, Scientific Reports, Journal of Experimental Biology and Animal Behaviour.
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.