Yu‐Dong Cai

19.4k total citations · 1 hit paper
491 papers, 15.6k citations indexed

About

Yu‐Dong Cai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yu‐Dong Cai has authored 491 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 373 papers in Molecular Biology, 73 papers in Computational Theory and Mathematics and 55 papers in Cancer Research. Recurrent topics in Yu‐Dong Cai's work include Machine Learning in Bioinformatics (230 papers), RNA and protein synthesis mechanisms (80 papers) and Bioinformatics and Genomic Networks (79 papers). Yu‐Dong Cai is often cited by papers focused on Machine Learning in Bioinformatics (230 papers), RNA and protein synthesis mechanisms (80 papers) and Bioinformatics and Genomic Networks (79 papers). Yu‐Dong Cai collaborates with scholars based in China, United States and United Kingdom. Yu‐Dong Cai's co-authors include Kuo‐Chen Chou, Tao Huang, Lei Chen, Kuo‐Chen Chou, Kaiyan Feng, Yuhang Zhang, Xiangyin Kong, Guo‐Ping Zhou, Le‐Le Hu and Yixue Li and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Bioinformatics.

In The Last Decade

Yu‐Dong Cai

473 papers receiving 15.3k citations

Hit Papers

Systematic evaluation of natural phenolic antioxidants fr... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Yu‐Dong Cai
Comparison fields: 5 of 200
  • Molecular Biology 11.8k
  • Computational Theory and Mathematics 2.4k
  • Cancer Research 1.5k
  • Plant Science 702
  • Oncology 674
Replace Feng Zhu with:
Feng Zhu China
Hao Lin China
Weida Tong United States
Wei Chen China
Yixue Li China
Henning Hermjakob United Kingdom
Quan Zou China
Tero Aittokallio Finland
Min Li China
Siqian He United States
Feng Zhu China View profile →
Citations per field, relative to Yu‐Dong Cai
Yu‐Dong Cai · 1×
Citations per year, relative to Yu‐Dong Cai
Yu‐Dong Cai · 1×

Countries citing papers authored by Yu‐Dong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Dong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Dong Cai. 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 Yu‐Dong Cai. The network helps show where Yu‐Dong Cai may publish in the future.

Co-authorship network of co-authors of Yu‐Dong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Dong Cai. A scholar is included among the top collaborators of Yu‐Dong Cai 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 Yu‐Dong Cai. Yu‐Dong Cai 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
# Work Indexed citations
1 3
2 0
3 2
4 0
5 1
6 10
7 2
8 26
9 3
10 20
11 2
12 7
13 22
14 21
15 8
16 66
17 22
18 45
19 36
20 29

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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