Suet‐Ying Kwan

67 total papers · 1.9k total citations
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, Edward S. Lu, Kenny Kwan, Chi Lam Au Yeung and Yong Li 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

Exosomal transfer of stro... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Suet‐Ying Kwan 810 558 156 105 100 24 1.1k
Chi Lam Au Yeung 907 1.1× 755 1.4× 210 1.3× 135 1.3× 139 1.4× 15 1.2k
Yuan Fang 880 1.1× 266 0.5× 198 1.3× 141 1.3× 130 1.3× 32 1.4k
Shengming Dai 1.1k 1.4× 836 1.5× 135 0.9× 231 2.2× 104 1.0× 35 1.5k
Zhaojuan Yang 998 1.2× 240 0.4× 211 1.4× 140 1.3× 73 0.7× 33 1.3k
Yuanming Shen 677 0.8× 600 1.1× 147 0.9× 107 1.0× 114 1.1× 34 1.0k
Elsayed G.E. Elsakka 894 1.1× 894 1.6× 181 1.2× 62 0.6× 85 0.8× 38 1.3k
Quan Hao 656 0.8× 574 1.0× 167 1.1× 94 0.9× 50 0.5× 37 991
Anna Pastò 616 0.8× 355 0.6× 246 1.6× 160 1.5× 98 1.0× 26 965
Claudia Felici 527 0.7× 416 0.7× 350 2.2× 156 1.5× 70 0.7× 26 997
Jolanta Pamuła‐Piłat 727 0.9× 387 0.7× 297 1.9× 78 0.7× 36 0.4× 33 1.1k

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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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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