Kin Y. Mok

17.0k total citations
38 papers, 1.7k citations indexed

About

Kin Y. Mok is a scholar working on Neurology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kin Y. Mok has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 11 papers in Physiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kin Y. Mok's work include Alzheimer's disease research and treatments (11 papers), Down syndrome and intellectual disability research (9 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Kin Y. Mok is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Down syndrome and intellectual disability research (9 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Kin Y. Mok collaborates with scholars based in United Kingdom, Hong Kong and China. Kin Y. Mok's co-authors include John Hardy, André Strydom, Carla M. Startin, Nicholas Wood, Dinakantha Kumararatne, Rainer Döffinger, Michael P. Epstein, Siobhan O. Burns, Sofia Grigoriadou and Adrian J. Thrasher and has published in prestigious journals such as Bioinformatics, Brain and Annals of Oncology.

In The Last Decade

Kin Y. Mok

37 papers receiving 1.7k citations

Peers

Kin Y. Mok
Spencer Tung United States
Rachel A. Gibson United Kingdom
Doris G. Leung United States
Oren Tomkins‐Netzer United Kingdom
Hans H. Jung Switzerland
Kin Y. Mok
Citations per year, relative to Kin Y. Mok Kin Y. Mok (= 1×) peers Zühal Yapıcı

Countries citing papers authored by Kin Y. Mok

Since Specialization
Citations

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

Fields of papers citing papers by Kin Y. Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin Y. Mok. 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 Kin Y. Mok. The network helps show where Kin Y. Mok may publish in the future.

Co-authorship network of co-authors of Kin Y. Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Kin Y. Mok. A scholar is included among the top collaborators of Kin Y. Mok 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 Kin Y. Mok. Kin Y. Mok 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.
Tsui, Joseph, Yuanbing Jiang, Fanny C.F. Ip, et al.. (2025). The TREM2 H157Y variant is associated with more severe neurodegeneration in Alzheimer's disease and altered immune‐related processes. Alzheimer s & Dementia. 21(9). e70586–e70586. 1 indexed citations
2.
Ng, Chi‐Fai, Stephen L. Chan, Ka Man Cheung, et al.. (2024). 1238TiP Combining immunotherapy with Trop2 ADc in early stage non-small cell lung cancer (CITADEL). Annals of Oncology. 35. S792–S793.
3.
Zhong, Huan, Xiaopu Zhou, Yuanbing Jiang, et al.. (2024). Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratification. Alzheimer s & Dementia. 20(4). 2469–2484. 9 indexed citations
4.
Wong, Hiu Yi, Huan Zhong, Xiaopu Zhou, et al.. (2022). Demographics and Medication Use of Patients with Late-Onset Alzheimer’s Disease in Hong Kong. Journal of Alzheimer s Disease. 87(3). 1205–1213. 4 indexed citations
5.
Jiang, Yuanbing, Xiaopu Zhou, Fanny C.F. Ip, et al.. (2021). Large‐scale plasma proteomic profiling identifies a high‐performance biomarker panel for Alzheimer's disease screening and staging. Alzheimer s & Dementia. 18(1). 88–102. 105 indexed citations
6.
Ling, Helen, Marla Gearing, Beth A. Dombroski, et al.. (2020). Fibrillation and molecular characteristics are coherent with clinical and pathological features of 4-repeat tauopathy caused by MAPT variant G273R. Neurobiology of Disease. 146. 105079–105079. 4 indexed citations
7.
Startin, Carla M., Nicholas J. Ashton, Sarah Hamburg, et al.. (2019). Plasma biomarkers for amyloid, tau, and cytokines in Down syndrome and sporadic Alzheimer’s disease. Alzheimer s Research & Therapy. 11(1). 26–26. 58 indexed citations
8.
Startin, Carla M., Sarah Hamburg, Rosalyn Hithersay, et al.. (2018). Cognitive markers of preclinical and prodromal Alzheimer's disease in Down syndrome. Alzheimer s & Dementia. 15(2). 245–257. 57 indexed citations
9.
Strydom, André, Amanda Heslegrave, Carla M. Startin, et al.. (2018). Neurofilament light as a blood biomarker for neurodegeneration in Down syndrome. Alzheimer s Research & Therapy. 10(1). 39–39. 39 indexed citations
10.
Firth, Nicholas C., Carla M. Startin, Rosalyn Hithersay, et al.. (2018). Aging related cognitive changes associated with Alzheimer's disease in Down syndrome. Annals of Clinical and Translational Neurology. 5(6). 741–751. 54 indexed citations
11.
Ling, Helen, Gábor G. Kovács, Jean Paul Vonsattel, et al.. (2016). Astrogliopathy predominates the earliest stage of corticobasal degeneration pathology. Brain. 139(12). 3237–3252. 101 indexed citations
12.
Ling, Helen, Laura Silveira‐Moriyama, Tamás Révész, et al.. (2015). Parkinson's disease without nigral degeneration: a pathological correlate of scans without evidence of dopaminergic deficit (SWEDD)?. Journal of Neurology Neurosurgery & Psychiatry. 87(6). 633–641. 10 indexed citations
13.
Mok, Kin Y., Emma L. Jones, Denise Harold, et al.. (2014). Polymorphisms in BACE2 may affect the age of onset Alzheimer's dementia in Down syndrome. Neurobiology of Aging. 35(6). 1513.e1–1513.e5. 30 indexed citations
14.
Jones, Emma L., Kin Y. Mok, Denise Harold, et al.. (2013). Evidence that PICALM affects age at onset of Alzheimer's dementia in Down syndrome. Neurobiology of Aging. 34(10). 2441.e1–2441.e5. 37 indexed citations
15.
Nalini, Atchayaram, Amelie Pandraud, Kin Y. Mok, & Henry Houlden. (2013). Madras motor neuron disease (MMND) is distinct from the riboflavin transporter genetic defects that cause Brown–Vialetto–Van Laere syndrome. Journal of the Neurological Sciences. 334(1-2). 119–122. 6 indexed citations
16.
Mok, Kin Y., Hannu Laaksovirta, Pentti J. Tienari, et al.. (2013). Homozygosity analysis in amyotrophic lateral sclerosis. European Journal of Human Genetics. 21(12). 1429–1435. 12 indexed citations
17.
Friedland, Robert P., et al.. (2012). Behavioral Variant Frontotemporal Lobar Degeneration with Amyotrophic Lateral Sclerosis with a Chromosome 9p21 Hexanucleotide Repeat. Frontiers in Neurology. 3. 136–136. 5 indexed citations
18.
Mok, Kin Y.. (1998). Space analysis: a comparison between sonic digitization (DigiGraphTM Workstation) and the digital caliper. European Journal of Orthodontics. 20(6). 653–661. 21 indexed citations
19.
Yu, Y. L., et al.. (1991). A multimodal neurophysiological assessment in terminal renal failure. Acta Neurologica Scandinavica. 83(2). 89–95. 5 indexed citations
20.
Chan, Tak Mao, Ignatius K.P. Cheng, Patricia C.K. Chan, & Kin Y. Mok. (1990). Nocardia Peritonitis Complicating Continuous Ambulatory Peritoneal Dialysis. Peritoneal Dialysis International. 10(1). 99–99. 12 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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