Chun‐Hung Chan
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
-
- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA regulation and disease 2
- Genetics 7
- Genomics and Rare Diseases 6
- Neurogenetic and Muscular Disorders Research 2
- Co-authors
- John G. Parnavelas (2 shared papers)David A. Pearce (14 shared papers)Melitta Schachner (1 shared paper)Domna Karagogeos (1 shared paper)Myrto Denaxa (1 shared paper)Yuan‐Ting Zhang (2 shared papers)Zoltán Molnár (1 shared paper)Antonello Mallamaci (1 shared paper)
- Journals
- Orphanet Journal of Rare Diseases (2 papers)Human Molecular Genetics (2 papers)Disease Models & Mechanisms (1 paper)JCO Precision Oncology (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Chun‐Hung Chan
23 papers receiving 660 citations
Peers
Comparison fields: 5 of 85
- Developmental Neuroscience 166
- Cellular and Molecular Neuroscience 203
- Cell Biology 135
- Physiology 139
- Physiology 24
Countries citing papers authored by Chun‐Hung Chan
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
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 168 | |
| 2 | 2010 | 66 | |
| 3 | 2002 | 64 | |
| 4 | 2006 | 55 | |
| 5 | 2021 | 53 | |
| 6 | 2017 | 48 | |
| 7 | 2013 | 36 | |
| 8 | 2015 | 33 | |
| 9 | 2013 | 26 | |
| 10 | 2006 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 19 | |
| 13 | 2003 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2011 | 15 | |
| 16 | 2018 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2005 | 2 | |
| 20 | 2023 | 1 |
About Chun‐Hung Chan
Chun‐Hung Chan is a scholar working on Molecular Biology, Genetics, Physiology, Cancer Research and Biomedical Engineering, having authored 25 papers that have together received 674 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (6 papers), Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), Cystic Fibrosis Research Advances (2 papers), RNA regulation and disease (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Developmental Neuroscience (166 citations), Cellular and Molecular Neuroscience (203 citations), Cell Biology (135 citations), Physiology (139 citations) and Physiology (24 citations). Chun‐Hung Chan has collaborated with scholars based in United States, France and Italy. Frequent co-authors include John G. Parnavelas, David A. Pearce, Melitta Schachner, Domna Karagogeos, Myrto Denaxa, Yuan‐Ting Zhang, Zoltán Molnár, Antonello Mallamaci, Guillermina López‐Bendito and Norman Miller. Their work appears in journals such as Orphanet Journal of Rare Diseases, Human Molecular Genetics, Disease Models & Mechanisms, JCO Precision Oncology and EMBO Molecular Medicine.
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.