Chau‐To Kwok

1.1k citations
15 papers · 599 · h-index 12

Impact in

Papers in

Chau‐To Kwok

15 papers receiving 593 citations

Peers

Chau‐To Kwok
Comparison fields: 5 of 66
  • Cancer Research 226
  • Pathology and Forensic Medicine 215
  • Molecular Biology 362
  • Oncology 122
  • Genetics 114
Replace Helene Myrtue Nielsen with:
Helene Myrtue Nielsen Denmark
Kristiina Aittomäki Finland
Ya-Nong Wang China
Mohammad Daremipouran United States
Alireza Heravi‐Moussavi Canada
Catarina Santos Portugal
Yumiko Kasugai Japan
Frederik Van Dyck Belgium
Annika Rökman Finland
Steven Keiles United States
Chau‐To Kwok relative to Helene Myrtue Nielsen Denmark Helene Myrtue Nielsen's profile →
Citations per field
00.5×3.8×
Helene Myrtue Nielsen · 1×
Citations per year

Countries citing papers authored by Chau‐To Kwok

Since Specialization
Citations

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

Fields of papers citing papers by Chau‐To Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chau‐To Kwok. 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 Chau‐To Kwok. The network helps show where Chau‐To Kwok may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011116
2 201776
3 201069
4 200756
5 200956
6 202049
7 201645
8 201330
9 201524
10 201522
11 199521
12 201319
13 201011
14 20154
15
Functional analysis of a germline promoter variant to determine its role in epigenetic silencing of MLH1 in a Lynch syndrome family
20111

About Chau‐To Kwok

Chau‐To Kwok is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Oncology and Genetics, having authored 15 papers that have together received 599 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (7 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (3 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (226 citations), Pathology and Forensic Medicine (215 citations), Molecular Biology (362 citations), Oncology (122 citations) and Genetics (114 citations). Chau‐To Kwok has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Robyn L. Ward, Megan P. Hitchins, Justin Wong, Nicholas J. Hawkins, Robert W. Rapkins, Deborah Packham, Levon M. Khachigian, Patsie Polly, Jack Goldblatt and Sameer Srivastava. Their work appears in journals such as Familial Cancer, Nucleic Acids Research, Human Mutation, JAMA Oncology and Modern Pathology.

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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