Chun‐Hung Chan

25 papers receiving 675 citations

Peers

Chun‐Hung Chan
Comparison fields: 5 of 84
  • Developmental Neuroscience 162
  • Cellular and Molecular Neuroscience 193
  • Cell Biology 128
  • Physiology 138
  • Physiology 22
Replace Fabian Ille with:
Fabian Ille Switzerland
Yuko Arioka Japan
Brock Eide United States
Edmund Derrington France
Emma J. van Bodegraven Netherlands
M Kaplan United States
Kun‐Yong Kim United States
Abigail M. Garner United States
Rebecca J. Levy United States
Vered Bar Israel
Chun‐Hung Chan relative to Fabian Ille Switzerland Fabian Ille's profile →
Citations per field
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Fabian Ille · 1×
Citations per year

Countries citing papers authored by Chun‐Hung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001168
2 201067
3 200264
4 202157
5 200655
6 201749
7 201337
8 201533
9 201326
10 200623
11 202322
12 202220
13 200317
14 201517
15 201115
16 20244
17 20184
18 20132
19 20212
20 20052

About Chun‐Hung Chan

Chun‐Hung Chan is a scholar working on Molecular Biology, Physiology, Genetics, Cancer Research and Biomedical Engineering, having authored 25 papers that have together received 689 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), Lysosomal Storage Disorders Research (6 papers), Cancer Genomics and Diagnostics (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Developmental Neuroscience (162 citations), Cellular and Molecular Neuroscience (193 citations), Cell Biology (128 citations), Physiology (138 citations) and Physiology (22 citations). Chun‐Hung Chan has collaborated with scholars based in United States, France and Hong Kong. Frequent co-authors include John G. Parnavelas, David A. Pearce, Domna Karagogeos, Melitta Schachner, Myrto Denaxa, Yuan‐Ting Zhang, Zoltán Molnár, Guillermina López‐Bendito, Antonello Mallamaci and Carmen C. Y. Poon. Their work appears in journals such as Human Molecular Genetics, Orphanet Journal of Rare Diseases, Journal of Neuroimmunology, Disability and Rehabilitation Assistive Technology and Journal of Clinical Oncology.

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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