Ching Chiek Koh

3.0k citations
12 papers · 891 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • CRISPR and Genetic Engineering 3
    • DNA Repair Mechanisms 2
    • vaccines and immunoinformatics approaches 2
    • Cancer Genomics and Diagnostics 6

Ching Chiek Koh

12 papers receiving 887 citations

Peers

Ching Chiek Koh
Comparison fields: 5 of 90
  • Cancer Research 219
  • Spectroscopy 205
  • Molecular Biology 570
  • Immunology 134
  • Oncology 145
Replace Judit Jané‐Valbuena with:
Judit Jané‐Valbuena United States
Yeoun Jin Kim United States
Emmanuel Petricoin United States
Emma Niméus Sweden
Fumi Kinose United States
Vilde Drageset Haakensen Norway
Yixuan Yang China
Kirsten H. Edmiston United States
Stephanie Blencke Germany
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Citations per field
00.5×10×12.8×
Judit Jané‐Valbuena · 1×
Citations per year

Countries citing papers authored by Ching Chiek Koh

Since Specialization
Citations

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

Fields of papers citing papers by Ching Chiek Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching Chiek Koh. 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 Ching Chiek Koh. The network helps show where Ching Chiek Koh may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015276
2 2015168
3 2021147
4 2020130
5 201942
6 202336
7 201629
8 202021
9 201521
10 202018
11 20252
12 20251

About Ching Chiek Koh

Ching Chiek Koh is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Genetics and Spectroscopy, having authored 12 papers that have together received 891 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers), Genomics and Rare Diseases (2 papers), Advanced Proteomics Techniques and Applications (2 papers), vaccines and immunoinformatics approaches (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (219 citations), Spectroscopy (205 citations), Molecular Biology (570 citations), Immunology (134 citations) and Oncology (145 citations). Ching Chiek Koh has collaborated with scholars based in United Kingdom, Portugal and Switzerland. Frequent co-authors include Ruedi Aebersold, Serena Nik‐Zainal, Xueqing Zou, Sophie Momen, Andrea Degasperi, Heiko Schuster, Étienne Caron, Theo Sturm, Tiannan Guo and Silke Gillessen. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, Nature Genetics, Nature Medicine and Nature Cancer.

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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