Yi-Chieh Wu

8.6k citations
20 papers · 877 indexed · 1 hit paper · h-index 10
Topics
Genomics and Phylogenetic Studies (8 papers)Mosquito-borne diseases and control (6 papers)Genetic diversity and population structure (5 papers)

In The Last Decade

Yi-Chieh Wu

20 papers receiving 871 citations

Hit Papers

Extensive introgression in a malaria vector species compl...20142026201820222014100200300400

Peers

Yi-Chieh Wu
Comparison fields: 5 of 74
  • Molecular Biology 406
  • Genetics 347
  • Public Health, Environmental and Occupational Health 292
  • Infectious Diseases 178
  • Plant Science 164
Replace Bradley J. Main with:
Bradley J. Main United States
Michel A Slotman United States
C. Lorna Culverwell United Kingdom
Patrícia Salgueiro Portugal
Sandra Uribe Colombia
Lefteris Spanos Greece
Kenichi W. Okamoto United States
Jaroslaw Krzywinski United States
Aaron Reeves United States
Laure Sauné France
Yi-Chieh Wu relative to Bradley J. Main United States Bradley J. Main's profile →
Citations per field
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Bradley J. Main · 1×
Citations per year

Countries citing papers authored by Yi-Chieh Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Chieh Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Chieh 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 Yi-Chieh Wu. The network helps show where Yi-Chieh Wu may publish in the future.

Co-authorship network of co-authors of Yi-Chieh Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Chieh Wu. A scholar is included among the top collaborators of Yi-Chieh 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 Yi-Chieh Wu. Yi-Chieh 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 1
2 3
3 2
4 22
5 5
6 3
7 57
8 5
9 1
10 6
11 7
12 4
13
Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes
10
14 36
15
Extensive introgression in a malaria vector species complex revealed by phylogenomicsbreakdown →
413
16 48
17 54
18 78
19 59
20 63

About Yi-Chieh Wu

Yi-Chieh Wu is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Biotechnology, having authored 20 papers that have together received 877 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Mosquito-borne diseases and control (6 papers) and Genetic diversity and population structure (5 papers). The work is most often cited by research in Genetics (347 citations), Public Health, Environmental and Occupational Health (292 citations) and Infectious Diseases (178 citations). Yi-Chieh Wu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Manolis Kellis, Mukul S. Bansal, Matthew D. Rasmussen, Robert M. Waterhouse, Nora J. Besansky, Michel A Slotman, A. Brantley Hall, Michaël C. Fontaine, James B. Pease and Mara Lawniczak. Their work appears in journals such as Science, Nature Communications and Bioinformatics.

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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