Eng-King Tan

1.8k total citations
30 papers, 1.2k citations indexed

About

Eng-King Tan is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eng-King Tan has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 7 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eng-King Tan's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (9 papers) and Cellular transport and secretion (3 papers). Eng-King Tan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (9 papers) and Cellular transport and secretion (3 papers). Eng-King Tan collaborates with scholars based in Singapore, United States and China. Eng-King Tan's co-authors include Kah‐Leong Lim, Pramod Kumar Pal, Dario C. Angeles, Yi Zhao, Valina L. Dawson, Ted M. Dawson, Xuezhi Ouyang, Fengwei Yu, Marc Fivaz and Chee H. Ng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Eng-King Tan

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eng-King Tan Singapore 16 783 388 359 285 176 30 1.2k
Hodaka Yamakado Japan 19 736 0.9× 317 0.8× 370 1.0× 343 1.2× 270 1.5× 50 1.2k
Michael Orth Germany 23 632 0.8× 857 2.2× 972 2.7× 160 0.6× 143 0.8× 36 1.6k
Pavanni Ratnagopal Singapore 22 1.2k 1.5× 343 0.9× 493 1.4× 258 0.9× 396 2.3× 53 1.6k
Oren Cohen Israel 18 563 0.7× 209 0.5× 336 0.9× 134 0.5× 214 1.2× 43 1.0k
Emiliano Fernández‐Villalba Spain 20 505 0.6× 320 0.8× 429 1.2× 208 0.7× 470 2.7× 48 1.3k
Mei Yu China 23 268 0.3× 445 1.1× 442 1.2× 136 0.5× 268 1.5× 39 1.2k
Chengyu Sheng China 19 249 0.3× 307 0.8× 185 0.5× 199 0.7× 107 0.6× 37 847
Alessandro Ferraris Italy 21 595 0.8× 422 1.1× 593 1.7× 150 0.5× 184 1.0× 46 1.4k
Jared T. Hinkle United States 13 446 0.6× 266 0.7× 213 0.6× 118 0.4× 275 1.6× 32 965
Ruth E. Musgrove Germany 11 469 0.6× 223 0.6× 292 0.8× 209 0.7× 253 1.4× 14 838

Countries citing papers authored by Eng-King Tan

Since Specialization
Citations

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

Fields of papers citing papers by Eng-King Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eng-King Tan. 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 Eng-King Tan. The network helps show where Eng-King Tan may publish in the future.

Co-authorship network of co-authors of Eng-King Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Eng-King Tan. A scholar is included among the top collaborators of Eng-King Tan 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 Eng-King Tan. Eng-King Tan 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.
Liu, Ye, Xixi Wang, Xin Wang, et al.. (2025). Acoustic prosodic parameters associated with Parkinson's disease cognitive impairment. Parkinsonism & Related Disorders. 132. 107306–107306.
2.
Yang, Yujuan, et al.. (2024). Interaction between caffeine consumption & genetic susceptibility in Parkinson’s disease: A systematic review. Ageing Research Reviews. 99. 102381–102381. 5 indexed citations
3.
Martin, Katherine A., Ruchi Agrawal, Luke Whiley, et al.. (2021). Tryptophan-metabolizing gut microbes regulate adult neurogenesis via the aryl hydrocarbon receptor. Proceedings of the National Academy of Sciences. 118(27). 136 indexed citations
4.
Tan, Eng-King, et al.. (2021). Remote Prescription During Pandemic: Challenges and Solutions. Archives of Medical Research. 52(4). 450–452. 5 indexed citations
5.
Chan, Ling Ling & Eng-King Tan. (2020). Chest CT in asymptomatic COVID-19: benefits and concerns. Quantitative Imaging in Medicine and Surgery. 10(7). 1570–1571. 2 indexed citations
6.
Tan, Eng-King. (2020). Movement disorders in 2020: clinical trials, genetic discoveries, and COVID-19. The Lancet Neurology. 20(1). 10–12. 1 indexed citations
7.
Tan, Eng-King, Alberto Albanese, К. Ray Chaudhuri, et al.. (2020). Neurological research & training after the easing of lockdown in countries impacted by COVID-19. Journal of the Neurological Sciences. 418. 117105–117105. 1 indexed citations
8.
Ng, Adeline Su Lyn, Yi Jayne Tan, Seyed Ehsan Saffari, et al.. (2020). Utility of plasma Neurofilament light as a diagnostic and prognostic biomarker of the postural instability gait disorder motor subtype in early Parkinson’s disease. Molecular Neurodegeneration. 15(1). 33–33. 53 indexed citations
9.
Chan, Ling Ling, et al.. (2020). Parkinson’s disease following COVID-19: causal link or chance occurrence?. Journal of Translational Medicine. 18(1). 493–493. 11 indexed citations
10.
Tan, Eng-King, et al.. (2020). Safeguarding Non-COVID-19 Research: Looking Up from Ground Zero. Archives of Medical Research. 51(7). 731–732. 5 indexed citations
11.
Tan, Eng-King, et al.. (2020). Mental health of scientists in the time of COVID-19. Brain Behavior and Immunity. 88. 956–956. 12 indexed citations
12.
Kuo, Sheng‐Han, Elan D. Louis, Phyllis L. Faust, et al.. (2019). Current Opinions and Consensus for Studying Tremor in Animal Models. The Cerebellum. 18(6). 1036–1063. 24 indexed citations
13.
Lim, Shen‐Yang, Ai Huey Tan, Azlina Ahmad‐Annuar, et al.. (2019). Parkinson's disease in the Western Pacific Region. The Lancet Neurology. 18(9). 865–879. 121 indexed citations
14.
Louis, Elan D., Martin Bareš, Julián Benito‐León, et al.. (2019). Essential tremor-plus: a controversial new concept. The Lancet Neurology. 19(3). 266–270. 94 indexed citations
15.
Ng, Adeline Su Lyn, Ebonne Ng, Kumar M. Prakash, et al.. (2018). Case-control analysis of LRRK2 protective variants in Essential Tremor. Scientific Reports. 8(1). 5346–5346. 6 indexed citations
16.
Long, Simei, Wenyuan Guo, Sophie Hu, et al.. (2018). G2019S LRRK2 Increases Stress Susceptibility Through Inhibition of DAF-16 Nuclear Translocation in a 14-3-3 Associated-Manner in Caenorhabditis elegans. Frontiers in Neuroscience. 12. 782–782. 10 indexed citations
17.
Tio, Murni, et al.. (2016). FUS-linked essential tremor associated with motor dysfunction in Drosophila. Human Genetics. 135(11). 1223–1232. 8 indexed citations
18.
Foo, Jia Nee, Herty Liany, Jin‐Xin Bei, et al.. (2013). A rare lysosomal enzyme gene SMPD1 variant (p.R591C) associates with Parkinson's disease. Neurobiology of Aging. 34(12). 2890.e13–2890.e15. 71 indexed citations
19.
Ng, Chee H., Xuezhi Ouyang, Marc Fivaz, et al.. (2009). Parkin Protects against LRRK2 G2019S Mutant-Induced Dopaminergic Neurodegeneration in Drosophila. Journal of Neuroscience. 29(36). 11257–11262. 166 indexed citations
20.
Jankovic, Joseph, et al.. (2003). Haplotype analysis of the ETM2 locus in familial essential tremor. Neurogenetics. 4(4). 185–189. 25 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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