Lap-Chee Tsui

1.5k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Lap-Chee Tsui is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Lap-Chee Tsui has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Lap-Chee Tsui's work include Cystic Fibrosis Research Advances (7 papers), Neonatal Respiratory Health Research (4 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Lap-Chee Tsui is often cited by papers focused on Cystic Fibrosis Research Advances (7 papers), Neonatal Respiratory Health Research (4 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Lap-Chee Tsui collaborates with scholars based in Canada, United States and United Kingdom. Lap-Chee Tsui's co-authors include Julian Zielenski, Johanna M. Rommens, John R. Riordan, Dominique Bozon, Batsheva Kerem, Richard Rozmahel, Zbyszko Grzelczak, Laura Kasch, Stylianos E. Antonarakis and H H Kazazian and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Lap-Chee Tsui

9 papers receiving 1.2k citations

Hit Papers

Genomic DNA sequence of the cystic fibrosis transmembrane... 1991 2026 2002 2014 1991 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lap-Chee Tsui Canada 9 1.0k 389 196 118 69 9 1.3k
Lap Chee Tsui Canada 10 520 0.5× 323 0.8× 115 0.6× 124 1.1× 40 0.6× 13 918
J.R. Riordan Canada 7 921 0.9× 509 1.3× 74 0.4× 138 1.2× 119 1.7× 8 1.3k
X.B. Chang Canada 9 680 0.7× 495 1.3× 51 0.3× 117 1.0× 77 1.1× 10 1.1k
Angela Naismith Canada 7 756 0.8× 418 1.1× 56 0.3× 49 0.4× 44 0.6× 8 1.0k
Radu G. Avramescu Canada 7 737 0.7× 272 0.7× 51 0.3× 70 0.6× 52 0.8× 8 907
Valeria Tomati Italy 20 783 0.8× 449 1.2× 53 0.3× 72 0.6× 36 0.5× 42 1.1k
Neeraj Sharma United States 16 426 0.4× 273 0.7× 82 0.4× 114 1.0× 25 0.4× 38 716
András Rab United States 18 562 0.6× 467 1.2× 51 0.3× 107 0.9× 32 0.5× 31 1.1k
R C Boucher United States 7 466 0.5× 473 1.2× 51 0.3× 218 1.8× 36 0.5× 8 906
Fabian S. Seibert Canada 11 410 0.4× 423 1.1× 33 0.2× 45 0.4× 67 1.0× 14 700

Countries citing papers authored by Lap-Chee Tsui

Since Specialization
Citations

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

Fields of papers citing papers by Lap-Chee Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap-Chee Tsui. 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 Lap-Chee Tsui. The network helps show where Lap-Chee Tsui may publish in the future.

Co-authorship network of co-authors of Lap-Chee Tsui

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

All Works

9 of 9 papers shown
1.
Lin, Ye, Soo Khim Chan, Yu‐Hua Chow, Lap-Chee Tsui, & Jim Hu. (2001). Regulated Expression of the Human CFTR Gene in Epithelial Cells. Molecular Therapy. 3(5). 723–733. 21 indexed citations
2.
Zielenski, Julian, D. Markiewicz, Keith Schappert, et al.. (1995). Identification of six mutations (R31L, 441delA, 681delC, 1461ins4, W1089R, E1104X) in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Human Mutation. 5(1). 43–47. 16 indexed citations
3.
Bozon, Dominique, Julian Zielenski, Frauke Rininsland, & Lap-Chee Tsui. (1994). Identification of four new mutations in the cystic fibrosis transmembrane conductance regulator gene: I148T, L1077P, Y1092X, 2183AA→G. Human Mutation. 3(3). 330–332. 40 indexed citations
4.
Tabcharani, Joseph A., Johanna M. Rommens, Yue-xian Hou, et al.. (1993). Multi-ion pore behaviour in the CFTR chloride channel. Nature. 366(6450). 79–82. 218 indexed citations
5.
Teem, John L., Herbert A. Berger, Lynda S. Ostedgaard, et al.. (1993). Identification of revertants for the cystic fibrosis ΔF508 mutation using STE6-CFTR chimeras in yeast. Cell. 73(2). 335–346. 145 indexed citations
6.
Tsui, Lap-Chee. (1991). Probing the basic defect in cystic fibrosis. Current Opinion in Genetics & Development. 1(1). 4–10. 17 indexed citations
7.
Zielenski, Julian, Richard Rozmahel, Dominique Bozon, et al.. (1991). Genomic DNA sequence of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Genomics. 10(1). 214–228. 433 indexed citations breakdown →
8.
Cutting, Garry R., Laura Kasch, Beryl J. Rosenstein, et al.. (1990). A cluster of cystic fibrosis mutations in the first nucleotide-binding fold of the cystic fibrosis conductance regulator protein. Nature. 346(6282). 366–369. 331 indexed citations
9.
Kerem, Batsheva, Johanna M. Rommens, Lap-Chee Tsui, et al.. (1989). DNA amplification for detection of the XV-2c polymorphism linked to cystic fibrosis. Nucleic Acids Research. 17(17). 7117–7117. 43 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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