Suet‐Ying Kwan

1.9k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Suet‐Ying Kwan is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Suet‐Ying Kwan has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Suet‐Ying Kwan's work include Liver Disease Diagnosis and Treatment (8 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Gut microbiota and health (4 papers). Suet‐Ying Kwan is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Gut microbiota and health (4 papers). Suet‐Ying Kwan collaborates with scholars based in United States, China and Taiwan. Suet‐Ying Kwan's co-authors include Samuel C. Mok, Kwong‐Kwok Wong, Karen H. Lu, Tsz-Lun Yeung, Rosemarie Schmandt, Cecilia S. Leung, Yong Li, Kenny Kwan, Chi Lam Au Yeung and Tetsushi Tsuruga and has published in prestigious journals such as Nature Communications, Hepatology and Cancer.

In The Last Decade

Suet‐Ying Kwan

24 papers receiving 1.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exosomal transfer of stroma-derived miR21 confers paclitaxel resistance in ovarian cancer cells through targeting APAF1

2016 622 citations Tsz-Lun Yeung, Suet‐Ying Kwan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suet‐Ying Kwan United States	13	821	561	160	105	101	24	1.1k
Le Tao China	18	502 0.6×	349 0.6×	87 0.5×	60 0.6×	105 1.0×	31	828
Lei Deng China	19	1.1k 1.3×	956 1.7×	242 1.5×	240 2.3×	179 1.8×	33	1.5k
Minglin Ou China	17	467 0.6×	248 0.4×	146 0.9×	150 1.4×	91 0.9×	82	900
Miroslav Levý Czechia	21	758 0.9×	665 1.2×	337 2.1×	66 0.6×	68 0.7×	55	1.2k
Xiangdong Hua China	11	544 0.7×	397 0.7×	95 0.6×	43 0.4×	97 1.0×	20	764
Yoshimichi Tanaka Japan	16	350 0.4×	194 0.3×	269 1.7×	87 0.8×	75 0.7×	45	850
Abul Elahi United States	17	628 0.8×	361 0.6×	252 1.6×	51 0.5×	68 0.7×	31	1.0k

Countries citing papers authored by Suet‐Ying Kwan

Since Specialization

Citations

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

Fields of papers citing papers by Suet‐Ying Kwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suet‐Ying Kwan. 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 Suet‐Ying Kwan. The network helps show where Suet‐Ying Kwan may publish in the future.

Co-authorship network of co-authors of Suet‐Ying Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of Suet‐Ying Kwan. A scholar is included among the top collaborators of Suet‐Ying Kwan 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 Suet‐Ying Kwan. Suet‐Ying Kwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gagea, Mihai, et al.. (2024). Gut Microbiome and Hepatic Transcriptomic Determinants of HCC Development in Mice with Metabolic Dysfunction-Associated Steatohepatitis. Journal of Hepatocellular Carcinoma. Volume 11. 1891–1905. 1 indexed citations

Kwan, Suet‐Ying, Matthew C. Wong, Nadim J. Ajami, et al.. (2024). Gut phageome in Mexican Americans: a population at high risk for metabolic dysfunction-associated steatotic liver disease and diabetes. mSystems. 9(9). e0043424–e0043424. 4 indexed citations

Kwan, Suet‐Ying, Mohamed A. Jamal, Heather L. Stevenson, et al.. (2024). Protection against fibrosis by a bacterial consortium in metabolic dysfunction-associated steatohepatitis and the role of amino acid metabolism. Gut Microbes. 16(1). 2399260–2399260. 2 indexed citations

Kwan, Suet‐Ying, Tiffany L. Calderone, Peng Wei, et al.. (2024). Metabolomics biomarkers of hepatocellular carcinoma in a prospective cohort of patients with cirrhosis. JHEP Reports. 6(8). 101119–101119. 8 indexed citations

Kwan, Suet‐Ying, Aron Y. Joon, Peng Wei, et al.. (2022). Gut Microbiome Alterations Associated with Diabetes in Mexican Americans in South Texas. mSystems. 7(3). e0003322–e0003322. 25 indexed citations

Kwan, Suet‐Ying, Peng Wei, Michelle I. Savage, et al.. (2022). Treatment Strategies and Mechanisms Associated with the Prevention of NASH-Associated HCC by a Toll-like Receptor 4 Inhibitor. Cancer Prevention Research. 16(1). 17–28. 5 indexed citations

Zhang, Li, Tsz-Lun Yeung, Sammy Ferri‐Borgogno, et al.. (2022). Ryanodine receptor 1-mediated Ca2+ signaling and mitochondrial reprogramming modulate uterine serous cancer malignant phenotypes. Journal of Experimental & Clinical Cancer Research. 41(1). 242–242. 4 indexed citations

Kwan, Suet‐Ying, Lauren E. Petty, Jennifer E. Below, et al.. (2022). Genetic variants associated with circulating liver injury markers in Mexican Americans, a population at risk for non-alcoholic fatty liver disease. Frontiers in Genetics. 13. 995488–995488. 4 indexed citations

Jiao, Jingjing, Suet‐Ying Kwan, Lucas Veillon, et al.. (2021). Lipidomic Profiles of Plasma Exosomes Identify Candidate Biomarkers for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis. Cancer Prevention Research. 14(10). 955–962. 34 indexed citations

10.

Kwan, Suet‐Ying, Jingjing Jiao, Aron Y. Joon, et al.. (2021). Gut microbiome features associated with liver fibrosis in Hispanics, a population at high risk for fatty liver disease. Hepatology. 75(4). 955–967. 39 indexed citations

11.

Jiao, Jingjing, Suet‐Ying Kwan, Lucas Veillon, et al.. (2021). Circulating Fatty Acids Associated with Advanced Liver Fibrosis and Hepatocellular Carcinoma in South Texas Hispanics. Cancer Epidemiology Biomarkers & Prevention. 30(9). 1643–1651. 7 indexed citations

12.

Kwan, Suet‐Ying, Tsz-Lun Yeung, Ángela Rynne‐Vidal, et al.. (2020). Ubiquitin Carboxyl-Terminal Hydrolase L1 (UCHL1) Promotes Uterine Serous Cancer Cell Proliferation and Cell Cycle Progression. Cancers. 12(1). 118–118. 27 indexed citations

13.

Kwan, Suet‐Ying, Jingjing Jiao, Ying Wang, et al.. (2020). Bile Acid Changes Associated With Liver Fibrosis and Steatosis in the Mexican‐American Population of South Texas. Hepatology Communications. 4(4). 555–568. 33 indexed citations

14.

Yeung, Tsz-Lun, Abhinav Achreja, Hongyun Zhao, et al.. (2020). ITLN1 modulates invasive potential and metabolic reprogramming of ovarian cancer cells in omental microenvironment. Nature Communications. 11(1). 3546–3546. 39 indexed citations

15.

Hu, Wen, Li Zhang, Sammy Ferri‐Borgogno, et al.. (2020). Targeting Dopamine Receptor D2 by Imipridone Suppresses Uterine Serous Cancer Malignant Phenotype. Cancers. 12(9). 2436–2436. 10 indexed citations

16.

Ring, Kari L., Melinda S. Yates, Rosemarie Schmandt, et al.. (2017). Endometrial Cancers With Activating KRas Mutations Have Activated Estrogen Signaling and Paradoxical Response to MEK Inhibition. International Journal of Gynecological Cancer. 27(5). 854–862. 24 indexed citations

17.

Zhang, Q., Amir A. Jazaeri, Joseph Celestino, et al.. (2016). Endometrial cancer subtypes and immunotherapy: Is the immune microenvironment different in microsatellite instable endometrial cancer?. Gynecologic Oncology. 141. 6–6. 1 indexed citations

18.

Fan, Qiong, Zhu Zhu, Suet‐Ying Kwan, et al.. (2015). KDM4B and KDM4A promote endometrial cancer progression by regulating androgen receptor, c-myc, and p27kip1. Oncotarget. 6(31). 31702–31720. 26 indexed citations

19.

Co, Ngai Na, David A. Iglesias, Joseph Celestino, et al.. (2014). Loss of LKB1 in high‐grade endometrial carcinoma: LKB1 is a novel transcriptional target of p53. Cancer. 120(22). 3457–3468. 22 indexed citations

20.

Zaid, Tarrik M., Tsz-Lun Yeung, Melissa S. Thompson, et al.. (2013). Identification of FGFR4 as a Potential Therapeutic Target for Advanced-Stage, High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 19(4). 809–820. 74 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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