Cheng-Te Yao

575 total citations
14 papers, 356 citations indexed

About

Cheng-Te Yao is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Cheng-Te Yao has authored 14 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Ecology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Cheng-Te Yao's work include Genetic diversity and population structure (10 papers), Avian ecology and behavior (5 papers) and Plant and animal studies (3 papers). Cheng-Te Yao is often cited by papers focused on Genetic diversity and population structure (10 papers), Avian ecology and behavior (5 papers) and Plant and animal studies (3 papers). Cheng-Te Yao collaborates with scholars based in Taiwan, China and United States. Cheng-Te Yao's co-authors include Shou‐Hsien Li, Carol K. L. Yeung, Wei Liang, Lü Dong, Chih–Ming Hung, Kevin E. Omland, Kui Lin, Yu-Ting Lai, Ben‐Yang Liao and Hsin‐Yi Hung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Molecular Ecology.

In The Last Decade

Cheng-Te Yao

14 papers receiving 353 citations

Peers

Cheng-Te Yao
Comparison fields: 5 of 57
  • Genetics 216
  • Ecology 113
  • Ecology, Evolution, Behavior and Systematics 101
  • Molecular Biology 98
  • Ecological Modeling 53
Replace Luca Cornetti with:
Luca Cornetti Switzerland
Gohta Kinoshita Japan
Josselin Cornuault France
Chih‐Ming Hung Taiwan
James A. Morris‐Pocock Canada
Aurélie Khimoun France
Gisele Pires de Mendonça Dantas Brazil
Mu‐Yeong Lee South Korea
An Mannaert Belgium
Denis Jacob Machado United States
Luca Cornetti Switzerland View profile →
Citations per field, relative to Cheng-Te Yao
Cheng-Te Yao · 1×
Citations per year, relative to Cheng-Te Yao
Cheng-Te Yao · 1×

Countries citing papers authored by Cheng-Te Yao

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Te Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Te Yao. 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 Cheng-Te Yao. The network helps show where Cheng-Te Yao may publish in the future.

Co-authorship network of co-authors of Cheng-Te Yao

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 10
2 105
3 7
4 3
5 35
6 14
7 5
8 18
9 16
10 53
11 11
12 2
13 57
14 20

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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2026