Sun On Chan

3.1k citations
145 papers · 2.5k · h-index 29

Impact in

Papers in

Sun On Chan

139 papers receiving 2.4k citations

Peers

Sun On Chan
Comparison fields: 5 of 140
  • Developmental Neuroscience 199
  • Ophthalmology 320
  • Cellular and Molecular Neuroscience 638
  • Pathology and Forensic Medicine 371
  • Cell Biology 332
Replace David J. Figueroa with:
David J. Figueroa United States
Clifton L. Dalgard United States
Ken Ikeda Japan
Huseyin Mehmet United Kingdom
Marni J. Falk United States
Sen Lin China
Sandra Andersson Sweden
Jane F Armstrong United Kingdom
Yoshikatsu Eto Japan
Steen Dissing Denmark
Sun On Chan relative to David J. Figueroa United States David J. Figueroa's profile →
Citations per field
00.5×8.7×
David J. Figueroa · 1×
Citations per year

Countries citing papers authored by Sun On Chan

Since Specialization
Citations

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

Fields of papers citing papers by Sun On Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997224
2 2018107
3 2000100
4 200159
5 201655
6
Detection of the placental epigenetic signature of the maspin gene in maternal plasma
200654
7 199951
8 201450
9 199448
10 200048
11 201346
12 199945
13 201545
14 201841
15 201439
16 201239
17 201038
18 200137
19 199337
20 200337

About Sun On Chan

Sun On Chan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cell Biology and Pathology and Forensic Medicine, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (26 papers), Retinal Development and Disorders (18 papers), Glaucoma and retinal disorders (15 papers), Nerve injury and regeneration (11 papers), Proteoglycans and glycosaminoglycans research (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Retinal Diseases and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Developmental Neuroscience (199 citations), Ophthalmology (320 citations), Cellular and Molecular Neuroscience (638 citations), Pathology and Forensic Medicine (371 citations) and Cell Biology (332 citations). Sun On Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chi Pui Pang, J. S. H. Taylor, Aks Chiang, Daisy Kwok‐Yan Shum, Tsz Kin Ng, R. W. Guillery, Kai On Chu, Chor Sang Chim, D. Todd and Yok‐Lam Kwong. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, European Journal of Neuroscience, Scientific Reports and Proceedings of the National Academy of Sciences.

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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