Jing Che

143 papers receiving 3.7k citations

Peers

Jing Che
Comparison fields: 5 of 92
  • Global and Planetary Change 2.1k
  • Paleontology 480
  • Genetics 1.1k
  • Ecological Modeling 76
  • Ecology, Evolution, Behavior and Systematics 367
Replace Antoine Fouquet A with:
Antoine Fouquet A France
Andrew J. Crawford Colombia
Katharina C. Wollenberg Valero Germany
Brian I. Crother United States
Andreas Schmitz Switzerland
Mario Garcı́a-Parı́s Spain
Annemarie Ohler France
Nikolai L. Orlov Russia
Angelica Crottini Portugal
Mariana Lúcio Lyra Brazil
Jing Che relative to Antoine Fouquet A France Antoine Fouquet A's profile →
Citations per field
00.5×1.5×2.1×
Antoine Fouquet A · 1×
Citations per year

Countries citing papers authored by Jing Che

Since Specialization
Citations

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

Fields of papers citing papers by Jing Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Che Line = papers co-authored together Jing Che links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010220
2 2011202
3 2020164
4 2015142
5 2016130
6 2018114
7 2012108
8 202098
9 201692
10 201885
11 200683
12 201279
13 201879
14 200978
15 200877
16 201072
17 201867
18 200866
19 201262
20 202256

About Jing Che

Jing Che is a scholar working on Global and Planetary Change, Paleontology, Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 152 papers that have together received 3.9k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (118 papers), Genetic diversity and population structure (28 papers), Evolution and Paleontology Studies (21 papers), Genomics and Phylogenetic Studies (14 papers), Invertebrate Taxonomy and Ecology (5 papers), Environmental DNA in Biodiversity Studies (3 papers), Fish Biology and Ecology Studies (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Global and Planetary Change (2.1k citations), Paleontology (480 citations), Genetics (1.1k citations), Ecological Modeling (76 citations) and Ecology, Evolution, Behavior and Systematics (367 citations). Jing Che has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ya‐Ping Zhang, Robert W. Murphy, Jie-Qiong Jin, Ke Jiang, Yan Fang, Weiwei Zhou, Hong-Man Chen, Zhiyong Yuan, Ermi Zhao and Nikolay A. Poyarkov. Their work appears in journals such as Zootaxa, 动物学研究, Molecular Phylogenetics and Evolution, ZooKeys and Proceedings of the National Academy of Sciences.

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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