W. Chia

1.6k citations
25 papers · 1.4k · h-index 19

Impact in

Papers in

    • Developmental Biology and Gene Regulation 8
    • RNA Research and Splicing 5
    • Cancer-related gene regulation 3
    • Pluripotent Stem Cells Research 2
    • Animal Genetics and Reproduction 2

W. Chia

24 papers receiving 1.4k citations

Peers

W. Chia
Comparison fields: 5 of 96
  • Aging 53
  • Hematology 171
  • Nutrition and Dietetics 232
  • Cellular and Molecular Neuroscience 238
  • Molecular Biology 814
Replace Kees W. Rodenburg with:
Kees W. Rodenburg Netherlands
John H. Nordin United States
Nina Lukinova United States
Jarosław Marszałek Poland
Sophie D. Lefevre France
Sarah F. Newbury United Kingdom
Lutz B. Giebel United States
Xiaoyan Wang China
Sujatha Krishnakumar United States
Yuriko Sakaguchi Japan
W. Chia relative to Kees W. Rodenburg Netherlands Kees W. Rodenburg's profile →
Citations per field
00.5×2.9×
Kees W. Rodenburg · 1×
Citations per year

Countries citing papers authored by W. Chia

Since Specialization
Citations

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

Fields of papers citing papers by W. Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W. Chia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W. Chia Line = papers co-authored together W. Chia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995307
2 1998137
3 1995128
4 199595
5 199593
6 198574
7 199366
8 198161
9 198858
10 199153
11 199252
12 198543
13 199741
14 199931
15 199630
16 199329
17 199428
18 198224
19 199121
20 198014

About W. Chia

W. Chia is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), RNA Research and Splicing (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Cancer-related gene regulation (3 papers), Chromosomal and Genetic Variations (3 papers), Neurobiology and Insect Physiology Research (3 papers), Animal Genetics and Reproduction (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (53 citations), Hematology (171 citations), Nutrition and Dietetics (232 citations), Cellular and Molecular Neuroscience (238 citations) and Molecular Biology (814 citations). W. Chia has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Verônica Rodrigues, Xiaohang Yang, B. Murugasu-Oei, Abdelmajid Belouchi, Tony Kwan, Mathieu Cellier, Philippe Gros, Gilbert G. Privé, Peh Yean Cheah and Peter Rigby. Their work appears in journals such as Genes & Development, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Cold Spring Harbor Symposia on Quantitative Biology and Journal of General Virology.

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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