Chan Guo

1.2k citations
7 papers · 989 · 1 hit paper · h-index 6

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction

Papers in

    • Epigenetics and DNA Methylation 3
    • Cancer-related gene regulation 2
    • Glycosylation and Glycoproteins Research 1
    • Genomics and Chromatin Dynamics 1
    • Hemoglobinopathies and Related Disorders 1

Chan Guo

7 papers receiving 940 citations

Chan Guo's Hit Papers

Trans -Activator Gene of Human T-Lymphotropic Virus Type III (HTLV-III) 1985 · 769 citations
7690+13+27Years since publication250500750

Peers

Chan Guo
Comparison fields: 5 of 68
  • Virology 556
  • Immunology 354
  • Agronomy and Crop Science 143
  • Infectious Diseases 224
  • Molecular Biology 451
Replace C A Bohan with:
C A Bohan United States
Randy Fenrick United States
T H Lee United States
Andrew F. Calman United States
Wenchang Zhou China
S G Devare United States
Fabio Romerio United States
Michael D. Moore United States
Dmitriy Mazurov Russia
K T Jeang United States
Chan Guo relative to C A Bohan United States C A Bohan's profile →
Citations per field
00.5×
C A Bohan · 1×
Citations per year

Countries citing papers authored by Chan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Trans -Activator Gene of Human T-Lymphotropic Virus Type III (HTLV-III)
Hit paper breakdown →
1985769
2 1984161
3 201833
4 20188
5 19927
6 19947
7 20174

About Chan Guo

Chan Guo is a scholar working on Molecular Biology, Genetics, Neurology, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 7 papers that have together received 989 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Vector-Borne Animal Diseases (1 paper), Neuroblastoma Research and Treatments (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Virology (556 citations), Immunology (354 citations), Agronomy and Crop Science (143 citations), Infectious Diseases (224 citations) and Molecular Biology (451 citations). Chan Guo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Steven F. Josephs, Flossie Wong‐Staal, Suresh K. Arya, Lee Ratner, Chi Ma, Bing Yao, Yexuan Deng, Quan Zhao, Min Nie and Tao Gui. Their work appears in journals such as Science, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Gene and Oncology Letters.

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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