Kai‐Yin Chau

4.3k citations
59 papers · 3.4k indexed · 1 hit paper · h-index 29
Topics
Parkinson's Disease Mechanisms and Treatments (14 papers)Mitochondrial Function and Pathology (10 papers)Lysosomal Storage Disorders Research (9 papers)

In The Last Decade

Kai‐Yin Chau

58 papers receiving 3.3k citations

Hit Papers

Mitofusin 1 and mitofusin 2 are ubiquitinated in a PINK1/...20102026201520202010200400600

Peers

Kai‐Yin Chau
Comparison fields: 5 of 114
  • Molecular Biology 1.5k
  • Neurology 986
  • Epidemiology 921
  • Physiology 838
  • Cell Biology 484
Replace Antonio Feliciello with:
Antonio Feliciello Italy
Shinichi Yoshimura Japan
Minoru Seto Japan
Joanne Bruno United States
Chuanzhen Lü China
Tsunehiko Ikeda Japan
Ke‐Jie Yin United States
Yasuko Kureishi Japan
Hagen Thieme Germany
Mark O.M. Tso United States
Kai‐Yin Chau relative to Antonio Feliciello Italy Antonio Feliciello's profile →
Citations per field
00.5×6.3×
Antonio Feliciello · 1×
Citations per year

Countries citing papers authored by Kai‐Yin Chau

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yin Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Yin Chau. 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 Kai‐Yin Chau. The network helps show where Kai‐Yin Chau may publish in the future.

Co-authorship network of co-authors of Kai‐Yin Chau

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Yin Chau. A scholar is included among the top collaborators of Kai‐Yin Chau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai‐Yin Chau. Kai‐Yin Chau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 10
3 6
4 12
5 55
6 4
7 120
8 43
9 209
10 10
11 167
12 3
13
9
14 87
15 13
16 30
17 43
18 52
19 41
20 1

About Kai‐Yin Chau

Kai‐Yin Chau is a scholar working on Ophthalmology, Neurology and Physiology, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (14 papers), Mitochondrial Function and Pathology (10 papers) and Lysosomal Storage Disorders Research (9 papers). The work is most often cited by research in Neurology (986 citations), Ophthalmology (396 citations) and Physiology (838 citations). Kai‐Yin Chau has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Anthony H.V. Schapira, Matthew E. Gegg, Jonathan M. Cooper, Jan‐Willem Taanman, Manuel Rojo, Davor Ivankovic, Santa Jeremy Ono, Heather Smith, Kenneth R. Pryde and Atul Mehta. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature 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.

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