Pu Tang
Impact in
- Insect Science top 2%
- Insect-Plant Interactions and Control
- Insect symbiosis and bacterial influences
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- Plant and animal studies
- Hymenoptera taxonomy and phylogeny
- Fossil Insects in Amber
Papers in
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- Insect-Plant Interactions and Control 42
- Insect symbiosis and bacterial influences 12
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- Hymenoptera taxonomy and phylogeny 35
- Plant and animal studies 27
- Co-authors
- Xue‐Xin Chen (49 shared papers)Shu‐Jun Wei (6 shared papers)Min Shi (5 shared papers)Jiachen Zhu (9 shared papers)Alfried P. Vogler (3 shared papers)Lihua Zheng (1 shared paper)Shengnan Song (1 shared paper)Michael Sharkey (2 shared papers)
In The Last Decade
Pu Tang
54 papers receiving 662 citations
Peers
Comparison fields: 5 of 59
- Insect Science 342
- Ecology, Evolution, Behavior and Systematics 394
- Genetics 168
- Ecology 112
- Molecular Biology 232
Countries citing papers authored by Pu Tang
This map shows the geographic impact of Pu Tang'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 Pu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Tang more than expected).
Fields of papers citing papers by Pu Tang
This network shows the impact of papers produced by Pu Tang. 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 Pu Tang. The network helps show where Pu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Tang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2009 | 90 | |
| 3 | 2016 | 66 | |
| 4 | 2019 | 56 | |
| 5 | 2018 | 53 | |
| 6 | 2016 | 52 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2014 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2018 | 17 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Pu Tang
Pu Tang is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Genetics and Plant Science, having authored 70 papers that have together received 674 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (42 papers), Hymenoptera taxonomy and phylogeny (35 papers), Plant and animal studies (27 papers), Insect symbiosis and bacterial influences (12 papers), Genomics and Phylogenetic Studies (8 papers), Insect Resistance and Genetics (7 papers), Lepidoptera: Biology and Taxonomy (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Insect Science (342 citations), Ecology, Evolution, Behavior and Systematics (394 citations), Genetics (168 citations), Ecology (112 citations) and Molecular Biology (232 citations). Pu Tang has collaborated with scholars based in China, Poland and Russia. Frequent co-authors include Xue‐Xin Chen, Shu‐Jun Wei, Min Shi, Jiachen Zhu, Alfried P. Vogler, Lihua Zheng, Shengnan Song, Michael Sharkey, Kees van Achterberg and Sergey А. Belokobylskij. Their work appears in journals such as Zootaxa, ZooKeys, Genes, Scientific Data and International Journal of Biological Macromolecules.
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.