Christine Kuo

3.8k citations
39 papers · 3.1k indexed · h-index 28

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Cutaneous Melanoma Detection and Management
    • Chemokine receptors and signaling

Papers in

Christine Kuo

39 papers receiving 3.0k citations

Peers

Christine Kuo
Comparison fields: 5 of 94
  • Cancer Research 1.2k
  • Oncology 1.6k
  • Immunology 808
  • Molecular Biology 1.7k
  • Immunology and Allergy 98
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R Whitehouse United Kingdom
Carlos Bais United States
Stan Lipkowitz United States
Khalid Al‐Shibli Norway
Ann Cleverly United States
Sudarshan Anand United States
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Minji Jo United States
Eishi Nagai Japan
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Citations per field
00.5×3.0×
R Whitehouse · 1×
Citations per year

Countries citing papers authored by Christine Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Christine Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013121
2 201275
3 201268
4 201119
5 201172
6 201123
7 2011152
8 201012
9 2010382
10 200645
11 2006147
12 20054
13 2004195
14 20043
15 2004102
16 200132
17 200127
18 200029
19 199830
20 199672

About Christine Kuo

Christine Kuo is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 39 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Cutaneous Melanoma Detection and Management (10 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (5 papers), Genetic factors in colorectal cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.6k citations), Immunology (808 citations), Molecular Biology (1.7k citations) and Immunology and Allergy (98 citations). Christine Kuo has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Dave S.�B. Hoon, Donald L. Morton, Roderick R. Turner, Hiroya Takeuchi, Anton J. Bilchik, He-Jing Wang, Tung Nguyen, Armando E. Giuliano, Bret Taback and Joseph Kim. Their work appears in journals such as Journal of Clinical Oncology, American Journal Of Pathology, Clinical Cancer Research, Journal of Investigative Dermatology and Clinical Chemistry.

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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