Catherine K. Yeung

2.6k citations
41 papers · 1.6k indexed · h-index 21
Topics
Pharmacogenetics and Drug Metabolism (12 papers)Drug Transport and Resistance Mechanisms (9 papers)3D Printing in Biomedical Research (5 papers)

In The Last Decade

Catherine K. Yeung

41 papers receiving 1.5k citations

Peers

Catherine K. Yeung
Comparison fields: 5 of 119
  • Molecular Biology 578
  • Pharmacology 449
  • Biomedical Engineering 297
  • Oncology 268
  • Pediatrics, Perinatology and Child Health 183
Replace Michael Török with:
Michael Török Switzerland
Caroline Aninat France
Lysiane Richert France
Li Liu China
Dongsheng Ouyang China
Dhanapal Sakthisekaran India
Yoshiyuki Shirasaka Japan
Michael D. Aleo United States
Xu Bai China
Jianchang Qian China
Catherine K. Yeung relative to Michael Török Switzerland Michael Török's profile →
Citations per field
00.5×7.2×
Michael Török · 1×
Citations per year

Countries citing papers authored by Catherine K. Yeung

Since Specialization
Citations

This map shows the geographic impact of Catherine 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 Catherine 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 Catherine K. Yeung more than expected).

Fields of papers citing papers by Catherine K. Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine K. Yeung. A scholar is included among the top collaborators of Catherine 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 Catherine K. Yeung. Catherine K. Yeung 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
#WorkIndexed citations
1 1
2 1
3 1
4 4
5 14
6 5
7 21
8 26
9 59
10 2
11 138
12 50
13 51
14 48
15 149
16 1
17 76
18 186
19 30
20 106

About Catherine K. Yeung

Catherine K. Yeung is a scholar working on Pharmacology, Transplantation and Nephrology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (9 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Pharmacology (449 citations), Nephrology (114 citations) and Clinical Biochemistry (98 citations). Catherine K. Yeung has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Allan E. Rettie, Jonathan Himmelfarb, Kenneth E. Thummel, Danny D. Shen, Edward J. Kelly, Nina Isoherranen, Ronald N. Hines, Pippa Simpson, Sevasti B. Koukouritaki and Dieter Lang. Their work appears in journals such as PLoS ONE, Scientific Reports and Kidney International.

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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