Pinjia Que

475 total citations
28 papers, 253 citations indexed

About

Pinjia Que is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Pinjia Que has authored 28 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 12 papers in Genetics and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Pinjia Que's work include Avian ecology and behavior (12 papers), Genetic diversity and population structure (10 papers) and Wildlife Ecology and Conservation (8 papers). Pinjia Que is often cited by papers focused on Avian ecology and behavior (12 papers), Genetic diversity and population structure (10 papers) and Wildlife Ecology and Conservation (8 papers). Pinjia Que collaborates with scholars based in China, United Kingdom and Switzerland. Pinjia Que's co-authors include Zhengwang Zhang, Yang Liu, Tamás Székely, Qin Huang, Simin Liu, Luke J. Eberhart‐Phillips, Rong Hou, Donglai Li, Huw Lloyd and Xin Lin and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Pinjia Que

24 papers receiving 251 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pinjia Que China 11 141 85 60 42 40 28 253
Karsten Hannig Germany 10 164 1.2× 79 0.9× 172 2.9× 50 1.2× 40 1.0× 14 338
Hernando Rodríguez‐Correa Mexico 10 72 0.5× 143 1.7× 84 1.4× 49 1.2× 95 2.4× 20 320
Darren P. O’Connell Ireland 9 124 0.9× 44 0.5× 48 0.8× 20 0.5× 40 1.0× 23 228
J. Payne United States 7 83 0.6× 62 0.7× 61 1.0× 63 1.5× 23 0.6× 10 294
Mizuki K. Takahashi United States 10 148 1.0× 105 1.2× 138 2.3× 78 1.9× 67 1.7× 33 385
Rob Guralnick United States 4 101 0.7× 49 0.6× 117 1.9× 22 0.5× 126 3.1× 7 265
Edvárd Mizsei Hungary 11 133 0.9× 59 0.7× 78 1.3× 15 0.4× 123 3.1× 34 278
Ting‐Wen Chen Germany 11 123 0.9× 47 0.6× 149 2.5× 17 0.4× 13 0.3× 28 265
Ricardo Koroiva Brazil 12 180 1.3× 80 0.9× 63 1.1× 51 1.2× 83 2.1× 47 311
Jon S. Greenlaw United States 12 306 2.2× 60 0.7× 136 2.3× 16 0.4× 21 0.5× 26 362

Countries citing papers authored by Pinjia Que

Since Specialization
Citations

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

Fields of papers citing papers by Pinjia Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinjia Que

This figure shows the co-authorship network connecting the top 25 collaborators of Pinjia Que. A scholar is included among the top collaborators of Pinjia Que 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 Pinjia Que. Pinjia Que is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Bin, et al.. (2025). Biodiversity benefits of China’s 20-year efforts in forest restoration. Nature Communications. 16(1). 10724–10724.
2.
Zhou, Wenjun, Kaichi Huang, Jie Tu, et al.. (2024). Divergent Selection in Low Recombination Regions Shapes the Genomic Islands in Two Incipient Shorebird Species. Molecular Biology and Evolution. 41(2). 3 indexed citations
3.
Song, Jingke, Feng Luo, Carel ten Cate, et al.. (2024). Stimulus-dependent emergence of understanding the ‘same–different’ concept in budgerigars. Proceedings of the Royal Society B Biological Sciences. 291(2036). 20241862–20241862. 1 indexed citations
4.
Zhang, Yuquan W., Hao Liu, Ming Li, et al.. (2024). Avian diversity of Chengdu Research Base of Giant Panda Breeding. Biodiversity Science. 32(8). 24066–24066. 1 indexed citations
5.
Li, Donglai, Yu Bai, Weipan Lei, et al.. (2023). Mammalian predators and vegetated nesting habitat drive reduced protected area nesting success of Kentish plovers, Yellow Sea region, China. Ecology and Evolution. 13(3). e9884–e9884. 3 indexed citations
6.
Huang, Ke, He‐Bo Peng, Changlin Li, et al.. (2023). Habitat selection and population status of breeding Wood Snipe Gallinago nemoricola in an alpine meadow in Sichuan, China. Bird Conservation International. 33. 1 indexed citations
7.
Xu, Yu, Megan Price, Pinjia Que, et al.. (2023). Ecological predictors of interspecific variation in bird bill and leg lengths on a global scale. Proceedings of the Royal Society B Biological Sciences. 290(2003). 20231387–20231387. 13 indexed citations
9.
Wang, Hui, et al.. (2023). First breeding record of the black‐headed penduline tit (Remiz macronyx) in China. Ecology and Evolution. 13(5). e10078–e10078.
10.
Valdebenito, José O., Kathryn H. Maher, Gergely Zachár, et al.. (2022). Sex differences in immune gene expression in the brain of a small shorebird. Immunogenetics. 74(5). 487–496. 5 indexed citations
11.
Hou, Rong, et al.. (2022). Genomic status of yellow-breasted bunting following recent rapid population decline. iScience. 25(7). 104501–104501. 6 indexed citations
12.
Hou, Rong, et al.. (2021). Giant panda behaviour recognition using images. Global Ecology and Conservation. 26. e01510–e01510. 14 indexed citations
13.
Tang, Maolin, Zeyuan Chen, Peng Chen, et al.. (2020). Automatically predicting giant panda mating success based on acoustic features. Global Ecology and Conservation. 24. e01301–e01301. 6 indexed citations
14.
Liu, Yang, Simin Liu, Nan Zhang, et al.. (2019). Genome assembly of the common pheasant Phasianus colchicus, a model for speciation and ecological genomics. Genome Biology and Evolution. 11(12). 3326–3331. 13 indexed citations
15.
Wang, Yuqi, Tamás Székely, Zhengwang Zhang, & Pinjia Que. (2019). Prolactin concentrations predict parental investment and nest survival in a free-living shorebird. Hormones and Behavior. 119. 104633–104633. 5 indexed citations
16.
Wang, Dou, Shucheng Zheng, Pu Wang, et al.. (2019). Effects of migration and reproduction on the variation in persistent organic pollutant levels in Kentish Plovers from Cangzhou Wetland, China. The Science of The Total Environment. 670. 122–128. 13 indexed citations
17.
Lin, Xin, Qin Huang, Chi Zhang, et al.. (2019). Mercury exposure in sedentary and migratory Charadrius plovers distributed widely across China. Environmental Science and Pollution Research. 27(4). 4236–4245. 10 indexed citations
18.
Wang, Xuejing, Kathryn H. Maher, Pinjia Que, et al.. (2019). Demographic Histories and Genome-Wide Patterns of Divergence in Incipient Species of Shorebirds. Frontiers in Genetics. 10. 919–919. 13 indexed citations
19.
Wang, Xuejing, Pinjia Que, Gerald Heckel, et al.. (2019). Genetic, phenotypic and ecological differentiation suggests incipient speciation in two Charadrius plovers along the Chinese coast. BMC Evolutionary Biology. 19(1). 135–135. 25 indexed citations
20.
Liu, Yang, Simin Liu, Guoling Chen, et al.. (2018). The first set of universal nuclear protein-coding loci markers for avian phylogenetic and population genetic studies. Scientific Reports. 8(1). 15723–15723. 15 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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