Pengjuan Zu

491 total citations
12 papers, 282 citations indexed

About

Pengjuan Zu is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Pengjuan Zu has authored 12 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Genetics and 6 papers in Insect Science. Recurrent topics in Pengjuan Zu's work include Plant and animal studies (11 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (4 papers). Pengjuan Zu is often cited by papers focused on Plant and animal studies (11 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (4 papers). Pengjuan Zu collaborates with scholars based in Switzerland, United States and China. Pengjuan Zu's co-authors include Florian P. Schiestl, Wolf U. Blanckenhorn, Nina Sletvold, Jon Ågren, John Magne Grindeland, Serguei Saavedra, Philip C. Stevenson, Meredith C. Schuman, Ek del‐Val and Karina Boege and has published in prestigious journals such as Science, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Pengjuan Zu

12 papers receiving 281 citations

Peers

Pengjuan Zu

EEBS

NLC

Clive Nuttman United Kingdom

Alessandro Fisogni Italy

Kayna Agostini Brazil

Huan Liang China

Maureen Murúa Chile

Sara Reverté Belgium

Kerstin Reifenrath Germany

M. von Tschirnhaus Germany

Hannah Burger Germany

Marion Chartier Austria

Clive Nuttman United Kingdom

Pengjuan Zu

219 ×1.0

EEBS

145 ×1.0

83 ×0.8

52 ×0.7

49 ×0.8

NLC

Citations per year, relative to Pengjuan Zu Pengjuan Zu (= 1×) peers Clive Nuttman

Countries citing papers authored by Pengjuan Zu

Since Specialization

Citations

This map shows the geographic impact of Pengjuan Zu'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 Pengjuan Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengjuan Zu more than expected).

Fields of papers citing papers by Pengjuan Zu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengjuan Zu. 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 Pengjuan Zu. The network helps show where Pengjuan Zu may publish in the future.

Co-authorship network of co-authors of Pengjuan Zu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengjuan Zu. A scholar is included among the top collaborators of Pengjuan Zu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengjuan Zu. Pengjuan Zu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Zu, Pengjuan, Da‐Yong Zhang, & Yi‐Bo Luo. (2023). Chemical communication between plants and insects. Journal of Systematics and Evolution. 61(3). 441–444. 4 indexed citations

Saavedra, Serguei, Ígnasi Bartomeus, Óscar Godoy, Rudolf P. Rohr, & Pengjuan Zu. (2022). Towards a system-level causative knowledge of pollinator communities. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1853). 20210159–20210159. 5 indexed citations

Schwery, Orlando, et al.. (2022). Plant scent and plant–insect interactions—Review and outlook from a macroevolutionary perspective. Journal of Systematics and Evolution. 61(3). 465–486. 5 indexed citations

Zu, Pengjuan, et al.. (2022). Plant–insect chemical communication in ecological communities: An information theory perspective. Journal of Systematics and Evolution. 61(3). 445–453. 11 indexed citations

Zu, Pengjuan, Hauke Koch, Orlando Schwery, et al.. (2021). Pollen sterols are associated with phylogeny and environment but not with pollinator guilds. New Phytologist. 230(3). 1169–1184. 35 indexed citations

Shi, Xia, et al.. (2021). Monoterpenoid signals and their transcriptional responses to feeding and juvenile hormone regulation in bark beetle Ips hauser i. Journal of Experimental Biology. 224(9). 7 indexed citations

Zu, Pengjuan, Karina Boege, Ek del‐Val, et al.. (2020). Information arms race explains plant-herbivore chemical communication in ecological communities. Science. 368(6497). 1377–1381. 60 indexed citations

Zu, Pengjuan, et al.. (2020). Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa. BMC Evolutionary Biology. 20(1). 127–127. 7 indexed citations

Cai, Jing, Pengjuan Zu, & Florian P. Schiestl. (2016). The molecular bases of floral scent evolution under artificial selection: insights from a transcriptome analysis in Brassica rapa. Scientific Reports. 6(1). 36966–36966. 15 indexed citations

10.

Zu, Pengjuan & Florian P. Schiestl. (2016). The effects of becoming taller: direct and pleiotropic effects of artificial selection on plant height in Brassica rapa. The Plant Journal. 89(5). 1009–1019. 27 indexed citations

11.

Zu, Pengjuan, Wolf U. Blanckenhorn, & Florian P. Schiestl. (2015). Heritability of floral volatiles and pleiotropic responses to artificial selection in Brassica rapa. New Phytologist. 209(3). 1208–1219. 55 indexed citations

12.

Sletvold, Nina, John Magne Grindeland, Pengjuan Zu, & Jon Ågren. (2012). Strong inbreeding depression and local outbreeding depression in the rewarding orchid Gymnadenia conopsea. Conservation Genetics. 13(5). 1305–1315. 51 indexed citations

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.

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