Chung‐I Wu

18.7k citations
146 papers · 12.4k indexed · 3 hit papers · h-index 53
Topics
Genetic diversity and population structure (54 papers)Evolution and Genetic Dynamics (40 papers)Genomics and Phylogenetic Studies (25 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Chung‐I Wu

143 papers receiving 12.2k citations

Hit Papers

Hitchhiking Under Positive Darwinian Selection19852026199820122000200119854008001.2k

Peers

Chung‐I Wu
Comparison fields: 5 of 163
  • Genetics 8.1k
  • Molecular Biology 5.0k
  • Ecology, Evolution, Behavior and Systematics 3.0k
  • Plant Science 2.5k
  • Ecology 1.5k
Replace Charles F. Aquadro with:
Charles F. Aquadro United States
Matthew W. Hahn United States
H. Allen Orr United States
Richard R. Hudson United States
Peter Andolfatto United States
Martin Kreitman United States
Nicolas Galtier France
Michael W. Nachman United States
Dmitri A. Petrov United States
Jody Hey United States
Chung‐I Wu relative to Charles F. Aquadro United States Charles F. Aquadro's profile →
Citations per field
00.5×1.5×2.1×
Charles F. Aquadro · 1×
Citations per year

Countries citing papers authored by Chung‐I Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐I Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐I Wu. 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 Chung‐I Wu. The network helps show where Chung‐I Wu may publish in the future.

Co-authorship network of co-authors of Chung‐I Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐I Wu. A scholar is included among the top collaborators of Chung‐I Wu 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 Chung‐I Wu. Chung‐I Wu 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
#WorkIndexed citations
1 25
2 2
3 13
4 13
5 1
6 14
7 2
8 14
9 9
10 8
11 95
12 4
13 8
14 56
15 43
16 207
17 46
18 16
19 146
20 28

About Chung‐I Wu

Chung‐I Wu is a scholar working on Genetics, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 146 papers that have together received 12.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (54 papers), Evolution and Genetic Dynamics (40 papers) and Genomics and Phylogenetic Studies (25 papers). The work is most often cited by research in Genetics (8.1k citations), Ecology, Evolution, Behavior and Systematics (3.0k citations) and Insect Science (1.2k citations). Chung‐I Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Justin C. Fay, Chau‐Ti Ting, Wen‐Hsiung Li, Gerald J. Wyckoff, Shun-Chern Tsaur, Michael F Palopoli, Suhua Shi, Norman Johnson, Wen Wang and Jian Lü. Their work appears in journals such as Nature, Science 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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