William Chia

7.1k total citations · 1 hit paper
90 papers, 5.9k citations indexed

About

William Chia is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, William Chia has authored 90 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 34 papers in Cell Biology and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in William Chia's work include Developmental Biology and Gene Regulation (44 papers), Neurobiology and Insect Physiology Research (22 papers) and Hippo pathway signaling and YAP/TAZ (15 papers). William Chia is often cited by papers focused on Developmental Biology and Gene Regulation (44 papers), Neurobiology and Insect Physiology Research (22 papers) and Hippo pathway signaling and YAP/TAZ (15 papers). William Chia collaborates with scholars based in Singapore, United Kingdom and United States. William Chia's co-authors include Xiaohang Yang, Michael Zavortink, Xavier Morin, Richard Daneman, Fengwei Yu, Hongyan Wang, Yu Cai, J. John Holbrook, Tony Atkinson and Anthony R. Clarke and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

William Chia

90 papers receiving 5.8k citations

Hit Papers

A protein trap strategy to detect GFP-tagged proteins exp... 2001 2026 2009 2017 2001 200 400 600

Peers

William Chia
Comparison fields: 5 of 132
  • Molecular Biology 4.6k
  • Cell Biology 2.2k
  • Cellular and Molecular Neuroscience 1.2k
  • Plant Science 640
  • Materials Chemistry 529
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Citations per field, relative to William Chia
William Chia · 1×
Citations per year, relative to William Chia
William Chia · 1×

Countries citing papers authored by William Chia

Since Specialization
Citations

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

Fields of papers citing papers by William Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Chia

This figure shows the co-authorship network connecting the top 25 collaborators of William Chia. A scholar is included among the top collaborators of William Chia 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 William Chia. William Chia 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 21
2 19
3 50
4 19
5 2
6 124
7 97
8 25
9 17
10 70
11 26
12 4
13 51
14 12
15 8
16 40
17
A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in Drosophila breakdown →
653
18 18
19 58
20 15

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