C.K. Yeung

36 total papers · 892 total citations
22 papers, 682 citations indexed

About

C.K. Yeung is a scholar working on Rheumatology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, C.K. Yeung has authored 22 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Surgery and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in C.K. Yeung's work include Neuroscience and Neural Engineering (4 papers), IgG4-Related and Inflammatory Diseases (3 papers) and Pelvic floor disorders treatments (3 papers). C.K. Yeung is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), IgG4-Related and Inflammatory Diseases (3 papers) and Pelvic floor disorders treatments (3 papers). C.K. Yeung collaborates with scholars based in Hong Kong, China and Germany. C.K. Yeung's co-authors include Andreas Offenhäusser, Wendy Bower, Eric M.C. Wong, Wolfgang Knoll, Shiqi Huang, Sheung Tat Fan, Sven Ingebrandt, Lars Lauer, W C Yip and Kenneth K. Wong and has published in prestigious journals such as Gastroenterology, Biomaterials and Biosensors and Bioelectronics.

In The Last Decade

C.K. Yeung

22 papers receiving 662 citations

Author Peers

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

Author						Papers	Cites
C.K. Yeung	197	158	137	117	117	22	682
Sara Beygi	188 1.0×	59 0.4×	51 0.4×	30 0.3×	97 0.8×	33	768
Yong Guan	225 1.1×	173 1.1×	7 0.1×	35 0.3×	50 0.4×	29	794
Wei Wu	140 0.7×	69 0.4×	27 0.2×	5 0.0×	111 0.9×	39	728
Zhansong Zhou	170 0.9×	144 0.9×	20 0.1×	306 2.6×	89 0.8×	58	777
Sayuri Matsumoto	50 0.3×	126 0.8×	62 0.5×	7 0.1×	40 0.3×	18	707
Hai Liu	232 1.2×	59 0.4×	45 0.3×	14 0.1×	70 0.6×	45	728
Božidar Šebečić	383 1.9×	61 0.4×	111 0.8×	13 0.1×	66 0.6×	24	605
Yue Huang	63 0.3×	41 0.3×	31 0.2×	113 1.0×	110 0.9×	17	611
Yuki Sekiguchi	148 0.8×	254 1.6×	38 0.3×	163 1.4×	78 0.7×	49	775
Junqing Lin	95 0.5×	83 0.5×	20 0.1×	13 0.1×	83 0.7×	36	580

Countries citing papers authored by C.K. Yeung

Since Specialization

Citations

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

Fields of papers citing papers by C.K. Yeung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.K. Yeung. 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 C.K. Yeung. The network helps show where C.K. Yeung may publish in the future.

Co-authorship network of co-authors of C.K. Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of C.K. Yeung. A scholar is included among the top collaborators of C.K. Yeung 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 C.K. Yeung. C.K. Yeung 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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