Ting‐Fung Chan

10.3k citations
189 papers · 5.7k indexed · 1 hit paper · h-index 41

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing

Papers in

    • Cancer-related molecular mechanisms research 16
    • MicroRNA in disease regulation 14
    • Aquaculture Nutrition and Growth 13

Ting‐Fung Chan

185 papers receiving 5.7k citations

Hit Papers

Terpenes and Terpenoids in Plants: Interactions with Environment and Insects 2020 · 294 citations
294202020262022202450100150200250

Peers

Ting‐Fung Chan
Comparison fields: 5 of 160
  • Cancer Research 906
  • Molecular Biology 3.3k
  • Aquatic Science 294
  • Aging 49
  • Plant Science 947
Replace Mika Hirakawa with:
Mika Hirakawa Japan
Toshiaki Tokimatsu Japan
Xizeng Mao United States
Matthew J. Wakefield Australia
Masumi Itoh Japan
Matthew D. Young United States
Jianmin Wu China
Tanja Pascale Neuvians Germany
Christophe Klopp France
Chuan‐Yun Li China
Ting‐Fung Chan relative to Mika Hirakawa Japan Mika Hirakawa's profile →
Citations per field
00.5×2.8×
Mika Hirakawa · 1×
Citations per year

Countries citing papers authored by Ting‐Fung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Fung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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13 2021132
14 202113
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16 20202
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19 201833
20 200235

About Ting‐Fung Chan

Ting‐Fung Chan is a scholar working on Cancer Research, Aquatic Science, Molecular Biology, Molecular Medicine and Physiology, having authored 189 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), RNA modifications and cancer (21 papers), RNA and protein synthesis mechanisms (19 papers), RNA Research and Splicing (16 papers), Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (14 papers), Aquaculture Nutrition and Growth (13 papers) and Physiological and biochemical adaptations (11 papers). The work is most often cited by research in Cancer Research (906 citations), Molecular Biology (3.3k citations), Aquatic Science (294 citations), Aging (49 citations) and Plant Science (947 citations). Ting‐Fung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Keng Po Lai, Jing‐Woei Li, Xiao-Feng Zheng, Hon‐Ming Lam, Jerome H. L. Hui, John Carvalho, Wandong Ai, Paula Bertram, Xiao Lin and Hao Qin. Their work appears in journals such as Aquatic Toxicology, International Journal of Molecular Sciences, Bioinformatics, Scientific Reports and BMC Genomics.

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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2026