Wing‐Kin Syn

2.1k total citations
30 papers, 1.3k citations indexed

About

Wing‐Kin Syn is a scholar working on Epidemiology, Hepatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wing‐Kin Syn has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 12 papers in Hepatology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wing‐Kin Syn's work include Liver Disease Diagnosis and Treatment (17 papers), Diet, Metabolism, and Disease (7 papers) and Liver physiology and pathology (5 papers). Wing‐Kin Syn is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Diet, Metabolism, and Disease (7 papers) and Liver physiology and pathology (5 papers). Wing‐Kin Syn collaborates with scholars based in United States, Spain and United Kingdom. Wing‐Kin Syn's co-authors include Anna Mae Diehl, Steve S. Choi, Gamze Karaca, Gregory A. Michelotti, Paul Manka, Cynthia D. Guy, Isaac S. Chan, Thiago A. Pereira, Marzena Swiderska and William Alazawi and has published in prestigious journals such as PLoS ONE, Hepatology and Cancer Research.

In The Last Decade

Wing‐Kin Syn

27 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wing‐Kin Syn 649 515 380 210 191 30 1.3k
Tobias Puengel 1.0k 1.6× 638 1.2× 395 1.0× 266 1.3× 345 1.8× 29 1.6k
Auvro R. Mridha 818 1.3× 300 0.6× 576 1.5× 191 0.9× 181 0.9× 9 1.2k
Mar Coll 681 1.0× 752 1.5× 377 1.0× 389 1.9× 140 0.7× 35 1.4k
Birgit Lahme 641 1.0× 885 1.7× 686 1.8× 260 1.2× 109 0.6× 35 1.6k
Saiyu Tanaka 759 1.2× 341 0.7× 354 0.9× 231 1.1× 73 0.4× 42 1.2k
Kiyohiro Higuchi 557 0.9× 620 1.2× 269 0.7× 244 1.2× 279 1.5× 34 1.4k
John Brooling 495 0.8× 362 0.7× 257 0.7× 223 1.1× 124 0.6× 15 926
Akihisa Miyazaki 422 0.7× 478 0.9× 303 0.8× 332 1.6× 88 0.5× 47 1.2k
Hidetaka Shibata 498 0.8× 409 0.8× 406 1.1× 97 0.5× 82 0.4× 54 1.1k
Jana Hundertmark 531 0.8× 335 0.7× 250 0.7× 148 0.7× 156 0.8× 14 816

Countries citing papers authored by Wing‐Kin Syn

Since Specialization
Citations

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

Fields of papers citing papers by Wing‐Kin Syn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing‐Kin Syn. 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 Wing‐Kin Syn. The network helps show where Wing‐Kin Syn may publish in the future.

Co-authorship network of co-authors of Wing‐Kin Syn

This figure shows the co-authorship network connecting the top 25 collaborators of Wing‐Kin Syn. A scholar is included among the top collaborators of Wing‐Kin Syn 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 Wing‐Kin Syn. Wing‐Kin Syn 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.
Bose, Dipro, Bryan W. Brooks, Shuo Xiao, et al.. (2025). Peroxynitrite is key to Cylindrospermopsin-mediated MASLD to MASH progression via triggering TXNIP binding to NLRP3 and subsequent inflammasome activation. Toxicology and Applied Pharmacology. 504. 117527–117527.
2.
Sydor, Svenja, Jan Best, Martin Steinmetz, et al.. (2024). Religious intermittent fasting: Effects on liver health, metabolic markers, and gut microbiota in type 2 diabetes patients. Clinical Nutrition Open Science. 58. 370–383. 2 indexed citations
3.
Syn, Wing‐Kin, et al.. (2024). The Effects of Testosterone Replacement Therapy in Adult Men With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Systematic Review and Meta-analysis. Clinical and Translational Gastroenterology. 16(1). e00787–e00787. 3 indexed citations
4.
Aspichueta, Patricia, et al.. (2024). The Link between Metabolic Syndrome and the Brain. Digestion. 106(3). 203–211. 3 indexed citations
5.
Mahmoud, Maya & Wing‐Kin Syn. (2024). Impact of Obesity and Metabolic Syndrome on IBD Outcomes. Digestive Diseases and Sciences. 69(8). 2741–2753. 11 indexed citations
6.
Kaya, Eda, et al.. (2023). Nonalcoholic Fatty Liver Disease and Chronic Kidney Disease Cross Talk. PubMed. 30(4). 315–335. 3 indexed citations
7.
8.
Hou, Wei, et al.. (2019). Characteristics of amino acid substitutions within the “a” determinant region of hepatitis B virus in chronically infected patients with coexisting HBsAg and anti-HBs. Clinics and Research in Hepatology and Gastroenterology. 44(6). 923–931. 6 indexed citations
9.
Manka, Paul, et al.. (2019). Fibrosis in Chronic Liver Disease: An Update on Diagnostic and Treatment Modalities. Drugs. 79(9). 903–927. 58 indexed citations
10.
Arif, Ehtesham, Ashish K. Solanki, Pankaj Srivastava, et al.. (2019). The motor protein Myo1c regulates transforming growth factor-β–signaling and fibrosis in podocytes. Kidney International. 96(1). 139–158. 22 indexed citations
11.
Hughes, Heather, et al.. (2019). Nonalcoholic Fatty Liver Disease Among Individuals with HIV Mono-infection: A Growing Concern?. Digestive Diseases and Sciences. 64(12). 3394–3401. 7 indexed citations
12.
Syn, Wing‐Kin, et al.. (2019). Current treatment options for nonalcoholic fatty liver disease. Current Opinion in Gastroenterology. 35(3). 168–176. 15 indexed citations
13.
Hsu, Jennifer W., et al.. (2018). Role of the Circadian Clock in the Metabolic Syndrome and Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences. 63(12). 3187–3206. 59 indexed citations
14.
Manka, Paul, Jason D. Coombes, René J. Boosman, et al.. (2018). Thyroid hormone in the regulation of hepatocellular carcinoma and its microenvironment. Cancer Letters. 419. 175–186. 22 indexed citations
15.
Cho, Wonkyung, et al.. (2017). Methotrexate Hepatotoxicity and the Impact of Nonalcoholic Fatty Liver Disease. The American Journal of the Medical Sciences. 354(2). 172–181. 64 indexed citations
16.
Hussain, Syed A., Daniel H. Palmer, Wing‐Kin Syn, et al.. (2017). Gene expression profiling in bladder cancer identifies potential therapeutic targets. International Journal of Oncology. 50(4). 1147–1159. 21 indexed citations
17.
Swiderska‐Syn, Marzena, Wing‐Kin Syn, Guomin Xie, et al.. (2013). Myofibroblastic cells function as progenitors to regenerate murine livers after partial hepatectomy. Gut. 63(8). 1333–1344. 92 indexed citations
18.
Xie, Guanhua, Steve S. Choi, Wing‐Kin Syn, et al.. (2012). Hedgehog signalling regulates liver sinusoidal endothelial cell capillarisation. Gut. 62(2). 299–309. 103 indexed citations
19.
Chan, Isaac S., Cynthia D. Guy, Yuping Chen, et al.. (2012). Paracrine Hedgehog Signaling Drives Metabolic Changes in Hepatocellular Carcinoma. Cancer Research. 72(24). 6344–6350. 41 indexed citations
20.
Philips, George, Isaac S. Chan, Marzena Swiderska, et al.. (2011). Hedgehog Signaling Antagonist Promotes Regression of Both Liver Fibrosis and Hepatocellular Carcinoma in a Murine Model of Primary Liver Cancer. PLoS ONE. 6(9). e23943–e23943. 140 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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