Jiang-Li Tan
Impact in
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- Plant and animal studies
- Fossil Insects in Amber
- Hymenoptera taxonomy and phylogeny
- Genetics top 10%
- Insect and Arachnid Ecology and Behavior
- Lepidoptera: Biology and Taxonomy
Papers in
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- Plant and animal studies 41
- Fossil Insects in Amber 23
- Hymenoptera taxonomy and phylogeny 21
- Genetics 31
- Insect and Arachnid Ecology and Behavior 28
- Co-authors
- Bao‐Zhen Hua (10 shared papers)C. van Achterberg (12 shared papers)Xue‐Xin Chen (12 shared papers)James M. Carpenter (5 shared papers)Qing‐Qing Tan (8 shared papers)Shu‐Jun Wei (3 shared papers)Lili Ren (6 shared papers)Kees van Achterberg (4 shared papers)
- Journals
- ZooKeys (14 papers)Zootaxa (10 papers)Animals (1 paper)PLoS ONE (1 paper)Annals of the Entomological Society of America (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jiang-Li Tan
49 papers receiving 338 citations
Peers
Comparison fields: 5 of 25
- Ecology, Evolution, Behavior and Systematics 327
- Genetics 241
- Insect Science 95
- Ecological Modeling 15
- Ecology 24
Countries citing papers authored by Jiang-Li Tan
This map shows the geographic impact of Jiang-Li 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 Jiang-Li Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang-Li Tan more than expected).
Fields of papers citing papers by Jiang-Li Tan
This network shows the impact of papers produced by Jiang-Li 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 Jiang-Li Tan. The network helps show where Jiang-Li Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang-Li 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 43 | |
| 2 | 2008 | 29 | |
| 3 | 2009 | 21 | |
| 4 | 2009 | 19 | |
| 5 | 2014 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2009 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2008 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2008 | 7 | |
| 20 | 2018 | 6 |
About Jiang-Li Tan
Jiang-Li Tan is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Ecology and Plant Science, having authored 53 papers that have together received 363 indexed citations. Recurring topics across this work include Plant and animal studies (41 papers), Insect and Arachnid Ecology and Behavior (28 papers), Fossil Insects in Amber (23 papers), Hymenoptera taxonomy and phylogeny (21 papers), Insect-Plant Interactions and Control (9 papers), Forest Insect Ecology and Management (7 papers), Plant Parasitism and Resistance (6 papers) and Insect and Pesticide Research (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (327 citations), Genetics (241 citations), Insect Science (95 citations), Ecological Modeling (15 citations) and Ecology (24 citations). Jiang-Li Tan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Bao‐Zhen Hua, C. van Achterberg, Xue‐Xin Chen, James M. Carpenter, Qing‐Qing Tan, Shu‐Jun Wei, Lili Ren, Kees van Achterberg, Jing Chen and Fangfang Niu. Their work appears in journals such as ZooKeys, Zootaxa, Animals, PLoS ONE and Annals of the Entomological Society of America.
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.