Kai‐Yin Chau

4.3k total citations · 1 hit paper
59 papers, 3.4k citations indexed

About

Kai‐Yin Chau is a scholar working on Molecular Biology, Neurology and Ophthalmology. According to data from OpenAlex, Kai‐Yin Chau has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Neurology and 14 papers in Ophthalmology. Recurrent topics in Kai‐Yin Chau's work include Parkinson's Disease Mechanisms and Treatments (14 papers), Mitochondrial Function and Pathology (10 papers) and Lysosomal Storage Disorders Research (9 papers). Kai‐Yin Chau is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (14 papers), Mitochondrial Function and Pathology (10 papers) and Lysosomal Storage Disorders Research (9 papers). Kai‐Yin Chau collaborates with scholars based in United Kingdom, United States and New Zealand. Kai‐Yin Chau's co-authors include Anthony H.V. Schapira, Matthew E. Gegg, Jonathan M. Cooper, Jan‐Willem Taanman, Manuel Rojo, Davor Ivankovic, Santa Jeremy Ono, Derralynn Hughes, Atul Mehta and Kenneth R. Pryde and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Kai‐Yin Chau

58 papers receiving 3.3k citations

Hit Papers

Mitofusin 1 and mitofusin... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai‐Yin Chau United Kingdom 29 1.5k 986 921 838 484 59 3.4k
Shinichi Yoshimura Japan 29 1.4k 1.0× 358 0.4× 315 0.3× 303 0.4× 248 0.5× 98 3.3k
Minoru Seto Japan 27 1.5k 1.0× 237 0.2× 140 0.2× 666 0.8× 328 0.7× 53 2.8k
Edwige Petit France 32 1.3k 0.9× 352 0.4× 345 0.4× 441 0.5× 124 0.3× 67 4.0k
Ke‐Jie Yin United States 33 2.5k 1.7× 290 0.3× 312 0.3× 828 1.0× 119 0.2× 71 4.3k
Josef Müller‐Höcker Germany 36 2.5k 1.7× 752 0.8× 329 0.4× 421 0.5× 222 0.5× 94 4.1k
Takaaki Sasaki Japan 27 898 0.6× 1.2k 1.3× 269 0.3× 471 0.6× 126 0.3× 115 3.4k
Chuanzhen Lü China 31 679 0.5× 899 0.9× 449 0.5× 158 0.2× 61 0.1× 87 2.5k
Przemysław Sapieha Canada 43 3.0k 2.0× 127 0.1× 340 0.4× 493 0.6× 439 0.9× 96 5.8k
Joanne Bruno United States 11 2.0k 1.4× 145 0.1× 220 0.2× 483 0.6× 403 0.8× 12 3.1k
Tatsuro Mori Japan 23 957 0.6× 1.0k 1.1× 692 0.8× 171 0.2× 113 0.2× 38 2.8k

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
1.
Pereira, Gustavo J.S., Kai‐Yin Chau, Xinjiang Cai, et al.. (2025). Lysosomal TPC2 channels disrupt Ca2+ entry and dopaminergic function in models of LRRK2-Parkinson’s disease. The Journal of Cell Biology. 224(6). 3 indexed citations
2.
Macnaughtan, Jane, Kai‐Yin Chau, Marco Toffoli, et al.. (2025). Mitochondrial function is impaired in long COVID patients. Annals of Medicine. 57(1). 2528167–2528167. 2 indexed citations
3.
Chau, Kai‐Yin, et al.. (2023). The Role of Mitophagy in Glaucomatous Neurodegeneration. Cells. 12(15). 1969–1969. 10 indexed citations
4.
Hurley, Michael J., Elisa Menozzi, Matthew E. Gegg, et al.. (2023). α-Synuclein expression in response to bacterial ligands and metabolites in gut enteroendocrine cells: an in vitro proof of concept study. Brain Communications. 5(6). fcad285–fcad285. 6 indexed citations
5.
Smith, Laura, et al.. (2022). The GBA variant E326K is associated with alpha-synuclein aggregation and lipid droplet accumulation in human cell lines. Human Molecular Genetics. 32(5). 773–789. 12 indexed citations
6.
Menozzi, Elisa, et al.. (2021). Glucocerebrosidase 1 and leucine‐rich repeat kinase 2 in Parkinson disease and interplay between the two genes. Journal of Neurochemistry. 159(5). 826–839. 7 indexed citations
7.
Sánchez-Martínez, Álvaro, Michelle Beavan, Matthew E. Gegg, et al.. (2016). Parkinson disease-linked GBA mutation effects reversed by molecular chaperones in human cell and fly models. Scientific Reports. 6(1). 31380–31380. 120 indexed citations
8.
Ivankovic, Davor, Kai‐Yin Chau, Anthony H.V. Schapira, & Matthew E. Gegg. (2015). Mitochondrial and lysosomal biogenesis are activated following PINK1/parkin‐mediated mitophagy. Journal of Neurochemistry. 136(2). 388–402. 209 indexed citations
9.
Chau, Kai‐Yin, Jonathan M. Cooper, & Anthony H.V. Schapira. (2013). Pramipexole Reduces Phosphorylation of α-Synuclein at Serine-129. Journal of Molecular Neuroscience. 51(2). 573–580. 10 indexed citations
10.
Lascaratos, Gerassimos, David F. Garway‐Heath, Colin E. Willoughby, Kai‐Yin Chau, & Anthony H.V. Schapira. (2011). Mitochondrial dysfunction in glaucoma: Understanding genetic influences. Mitochondrion. 12(2). 202–212. 77 indexed citations
11.
Hope, Ben, et al.. (2010). Hodgkin disease relapse discovered at the time of liver transplant for acute liver failure. Pediatric Transplantation. 16(1). E10–4. 3 indexed citations
12.
Gegg, Matthew E., Jonathan M. Cooper, Kai‐Yin Chau, et al.. (2010). Mitofusin 1 and mitofusin 2 are ubiquitinated in a PINK1/parkin-dependent manner upon induction of mitophagy. Human Molecular Genetics. 19(24). 4861–4870. 732 indexed citations breakdown →
13.
Chau, Kai‐Yin, et al.. (2003). . Molecular Medicine. 9(5-8). 1–1. 9 indexed citations
14.
Chau, Kai‐Yin, Paola Arlotta, Umesh A. Patel, et al.. (1999). A novel downstream positive regulatory element mediating transcription of the human high mobility group (HMG) I‐C gene. FEBS Letters. 457(3). 429–436. 13 indexed citations
15.
Chau, Kai‐Yin & Santa Jeremy Ono. (1999). Gene Transfer into Retinoblastoma Cells. BioTechniques. 26(3). 444–446. 5 indexed citations
16.
Chau, Kai‐Yin, et al.. (1999). Conjunctival melanotic lesions in chinese: comparison with caucasian series. Pathology. 31(3). 199–201. 7 indexed citations
17.
Chau, Kai‐Yin, Hieu Lam, & Kam‐Len Daniel Lee. (1998). Estrogen Treatment Induces Elevated Expression of HMG1 in MCF-7 Cells. Experimental Cell Research. 241(1). 269–272. 30 indexed citations
18.
Chau, Kai‐Yin, et al.. (1997). Clinicopathological pattern of pulmonary thromboembolism in Chinese autopsy patients: comparison with Caucasian series. Pathology. 29(3). 263–266. 43 indexed citations
19.
Chau, Kai‐Yin, et al.. (1991). An autopsy study of pulmonary thromboembolism in hong kong chinese. Pathology. 23(3). 181–184. 41 indexed citations
20.
Malatack, J. Jeffrey, et al.. (1982). Abstracts of Papers Submitted to the American Association for the Study of Liver Diseases. Hepatology. 2(5). 673S–751S. 1 indexed citations

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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