Pinjia Que
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Ecology top 10%
- Avian ecology and behavior
- Wildlife Ecology and Conservation
Papers in
- Co-authors
- Zhengwang Zhang (16 shared papers)Yang Liu (15 shared papers)Tamás Székely (10 shared papers)Qin Huang (6 shared papers)Simin Liu (3 shared papers)Luke J. Eberhart‐Phillips (1 shared paper)Rong Hou (5 shared papers)Jonathan Martinez (3 shared papers)
- Journals
- Ecology and Evolution (2 papers)Global Ecology and Conservation (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Nature Communications (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
Pinjia Que
25 papers receiving 260 citations
Peers
Comparison fields: 5 of 50
- Ecological Modeling 39
- Ecology 140
- Developmental Biology 10
- Genetics 84
- Ecology, Evolution, Behavior and Systematics 59
Countries citing papers authored by Pinjia Que
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
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-authors
The 25 scholars most cited alongside Pinjia Que, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 28 | |
| 2 | 2014 | 28 | |
| 3 | 2019 | 25 | |
| 4 | 2015 | 20 | |
| 5 | 2023 | 15 | |
| 6 | 2018 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Pinjia Que
Pinjia Que is a scholar working on Ecology, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Ecological Modeling, having authored 28 papers that have together received 261 indexed citations. Recurring topics across this work include Avian ecology and behavior (11 papers), Genetic diversity and population structure (10 papers), Wildlife Ecology and Conservation (7 papers), Animal Behavior and Reproduction (7 papers), Genomics and Phylogenetic Studies (6 papers), Genetic and phenotypic traits in livestock (3 papers), Species Distribution and Climate Change (3 papers) and Marine and fisheries research (2 papers). The work is most often cited by research in Ecological Modeling (39 citations), Ecology (140 citations), Developmental Biology (10 citations), Genetics (84 citations) and Ecology, Evolution, Behavior and Systematics (59 citations). Pinjia Que has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Zhengwang Zhang, Yang Liu, Tamás Székely, Qin Huang, Simin Liu, Luke J. Eberhart‐Phillips, Rong Hou, Jonathan Martinez, Xin Lin and Huw Lloyd. Their work appears in journals such as Ecology and Evolution, Global Ecology and Conservation, Proceedings of the Royal Society B Biological Sciences, Nature Communications and Molecular Biology and Evolution.
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.