Sook Wah Yee

11.7k citations
101 papers · 5.1k indexed · 2 hit papers · h-index 41
Topics
Drug Transport and Resistance Mechanisms (45 papers)Pharmacological Effects and Toxicity Studies (21 papers)Pharmacogenetics and Drug Metabolism (16 papers)

In The Last Decade

Sook Wah Yee

100 papers receiving 5.0k citations

Hit Papers

SLC transporters as therapeutic targets: emerging opportu...201120262016202120152011100200300400500

Peers

Sook Wah Yee
Comparison fields: 5 of 128
  • Oncology 2.0k
  • Molecular Biology 1.8k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Pharmacology 854
  • Genetics 521
Replace Yoshiro Saito with:
Yoshiro Saito Japan
Toshiya Katsura Japan
Deanna L. Kroetz United States
Rommel G. Tirona Canada
Jun‐ichi Sawada Japan
Leszek Wojnowski Germany
Anne T. Nies Germany
Gabriele Jedlitschky Germany
Yurong Lai United States
Thomayant Prueksaritanont United States
Sook Wah Yee relative to Yoshiro Saito Japan Yoshiro Saito's profile →
Citations per field
00.5×1.6×
Yoshiro Saito · 1×
Citations per year

Countries citing papers authored by Sook Wah Yee

Since Specialization
Citations

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

Fields of papers citing papers by Sook Wah Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sook Wah Yee. 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 Sook Wah Yee. The network helps show where Sook Wah Yee may publish in the future.

Co-authorship network of co-authors of Sook Wah Yee

This figure shows the co-authorship network connecting the top 25 collaborators of Sook Wah Yee. A scholar is included among the top collaborators of Sook Wah Yee 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 Sook Wah Yee. Sook Wah Yee 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 0
3 10
4 4
5 11
6 5
7 7
8 29
9 3
10 15
11 44
12 14
13 21
14 182
15 41
16 120
17 61
18 87
19 18
20 21

About Sook Wah Yee

Sook Wah Yee is a scholar working on Pharmacology, Clinical Biochemistry and Oncology, having authored 101 papers that have together received 5.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (45 papers), Pharmacological Effects and Toxicity Studies (21 papers) and Pharmacogenetics and Drug Metabolism (16 papers). The work is most often cited by research in Pharmacology (854 citations), Oncology (2.0k citations) and Biochemistry (467 citations). Sook Wah Yee has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kathleen M. Giacomini, Richard B. Kim, Lawrence Lin, Teri E. Klein, Claire Simons, Mary V. Relling, William E. Evans, C-H Pui, Ligong Chen and KM Giacomini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

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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