Clement Chu

1.3k citations
8 papers · 292 · h-index 8

Impact in

Papers in

    • Genomics and Rare Diseases 3
    • Bacterial Genetics and Biotechnology 2
    • BRCA gene mutations in cancer 2
    • Genomic variations and chromosomal abnormalities 2
    • Cleft Lip and Palate Research 1
    • DNA Repair Mechanisms 2

Clement Chu

8 papers receiving 280 citations

Peers

Clement Chu
Comparison fields: 5 of 56
  • Genetics 180
  • Molecular Medicine 24
  • Pediatrics, Perinatology and Child Health 52
  • Molecular Biology 159
  • Cancer Research 31
Replace Tatjana Jatsenko with:
Tatjana Jatsenko Estonia
David Ding United States
Dilek Imanci France
Haijun Zhu China
Christine Lüthi Switzerland
Miriam Groß Germany
Naveen Kumar Nair India
Joan Monks United Kingdom
Dejiu Zhang China
Paolo Strigini Italy
Clement Chu relative to Tatjana Jatsenko Estonia Tatjana Jatsenko's profile →
Citations per field
00.5×1.5×
Tatjana Jatsenko · 1×
Citations per year

Countries citing papers authored by Clement Chu

Since Specialization
Citations

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

Fields of papers citing papers by Clement Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clement Chu, 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 Clement Chu Line = papers co-authored together Clement Chu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200386
2 201256
3 201846
4 201435
5 202027
6 201715
7 201814
8 201613

About Clement Chu

Clement Chu is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 8 papers that have together received 292 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Bacterial Genetics and Biotechnology (2 papers), DNA Repair Mechanisms (2 papers), Prenatal Screening and Diagnostics (2 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Cleft Lip and Palate Research (1 paper). The work is most often cited by research in Genetics (180 citations), Molecular Medicine (24 citations), Pediatrics, Perinatology and Child Health (52 citations), Molecular Biology (159 citations) and Cancer Research (31 citations). Clement Chu has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include A. Simon Lynch, Robert Landick, Irina Artsimovitch, Jacob E. Corn, James L. Keck, Ashley K. Tehranchi, Jue D. Wang, James M. Berger, Dale Muzzey and Jared Maguire. Their work appears in journals such as PeerJ, Structure, Clinical Chemistry, Genetics in Medicine and Science.

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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