Pu Yang
Impact in
- Insect Science top 5%
- Insect-Plant Interactions and Control
- Research on scale insects
- Insect symbiosis and bacterial influences
- Insect Utilization and Effects
Papers in
-
- Genomics and Phylogenetic Studies 5
- Insect Resistance and Genetics 5
- Plant biochemistry and biosynthesis 4
-
- Research on scale insects 11
- Insect symbiosis and bacterial influences 6
- Insect-Plant Interactions and Control 6
- Co-authors
- Xiaohong Chen (9 shared papers)Jiaying Zhu (3 shared papers)Guoxing Wu (3 shared papers)Tao Sun (5 shared papers)Bin Yang (1 shared paper)Zhong Zhang (1 shared paper)Shuhui Yu (7 shared papers)Xiaoming Chen (3 shared papers)
- Journals
- Archives of Insect Biochemistry and Physiology (4 papers)Scientific Reports (2 papers)Journal of Insect Science (2 papers)Genes (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pu Yang
37 papers receiving 412 citations
Peers
Comparison fields: 5 of 75
- Insect Science 207
- Aging 6
- Horticulture 3
- Cellular and Molecular Neuroscience 53
- Molecular Biology 197
Countries citing papers authored by Pu Yang
This map shows the geographic impact of Pu Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Yang more than expected).
Fields of papers citing papers by Pu Yang
This network shows the impact of papers produced by Pu Yang. 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 Yang. The network helps show where Pu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Yang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2012 | 41 | |
| 3 | 2015 | 36 | |
| 4 | 2014 | 24 | |
| 5 | 2011 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2018 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Pu Yang
Pu Yang is a scholar working on Molecular Biology, Insect Science, Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 414 indexed citations. Recurring topics across this work include Research on scale insects (11 papers), Insect symbiosis and bacterial influences (6 papers), Insect-Plant Interactions and Control (6 papers), Genomics and Phylogenetic Studies (5 papers), Insect Resistance and Genetics (5 papers), Plant biochemistry and biosynthesis (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Insect Science (207 citations), Aging (6 citations), Horticulture (3 citations), Cellular and Molecular Neuroscience (53 citations) and Molecular Biology (197 citations). Pu Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaohong Chen, Jiaying Zhu, Guoxing Wu, Tao Sun, Bin Yang, Zhong Zhang, Shuhui Yu, Xiaoming Chen, Yanhong Hu and Weiwei Liu. Their work appears in journals such as Archives of Insect Biochemistry and Physiology, Scientific Reports, Journal of Insect Science, Genes and PLoS ONE.
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.