Chee Keong Kwok

724 total citations
10 papers, 524 citations indexed

About

Chee Keong Kwok is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Chee Keong Kwok has authored 10 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Chee Keong Kwok's work include Pluripotent Stem Cells Research (5 papers), 3D Printing in Biomedical Research (4 papers) and CRISPR and Genetic Engineering (2 papers). Chee Keong Kwok is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), 3D Printing in Biomedical Research (4 papers) and CRISPR and Genetic Engineering (2 papers). Chee Keong Kwok collaborates with scholars based in Germany, Austria and Chile. Chee Keong Kwok's co-authors include Süleyman Ergün, Philipp Wörsdörfer, Erik Henke, Nicole Wagner, Frank Edenhofer, Matteo Donegà, Stefano Pluchino, Nunzio Iraci, John M. Hallenbeck and Alice Braga and has published in prestigious journals such as Circulation Research, Scientific Reports and Cell stem cell.

In The Last Decade

Chee Keong Kwok

10 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chee Keong Kwok Germany 6 301 149 102 75 69 10 524
Lisa Mohamet United Kingdom 14 385 1.3× 125 0.8× 133 1.3× 103 1.4× 71 1.0× 19 715
Lijie Guo China 10 271 0.9× 133 0.9× 50 0.5× 44 0.6× 31 0.4× 17 468
Bruce A. Corliss United States 8 197 0.7× 83 0.6× 149 1.5× 83 1.1× 68 1.0× 14 617
Jeanne Elia United States 4 276 0.9× 78 0.5× 88 0.9× 34 0.5× 34 0.5× 11 450
Gabriel Gaidosh United States 15 452 1.5× 97 0.7× 44 0.4× 33 0.4× 65 0.9× 18 747
Andrew M. Mikosz United States 9 399 1.3× 102 0.7× 54 0.5× 51 0.7× 40 0.6× 13 649
Julia P. Andreotti Brazil 13 240 0.8× 40 0.3× 72 0.7× 105 1.4× 59 0.9× 15 569
Clive N. Svendsen United States 6 229 0.8× 189 1.3× 27 0.3× 110 1.5× 30 0.4× 9 517
Daniel Haag Germany 12 572 1.9× 65 0.4× 90 0.9× 107 1.4× 41 0.6× 15 791
Meiyan Wang United States 7 436 1.4× 63 0.4× 43 0.4× 79 1.1× 131 1.9× 8 584

Countries citing papers authored by Chee Keong Kwok

Since Specialization
Citations

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

Fields of papers citing papers by Chee Keong Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Keong Kwok. 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 Chee Keong Kwok. The network helps show where Chee Keong Kwok may publish in the future.

Co-authorship network of co-authors of Chee Keong Kwok

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

All Works

10 of 10 papers shown
1.
2.
Kwok, Chee Keong, Benjamin Fischer, Alfredo Cabrera‐Socorro, et al.. (2022). Scalable expansion of iPSC and their derivatives across multiple lineages. Reproductive Toxicology. 112. 23–35. 15 indexed citations
3.
Klein, Thomas, Chee Keong Kwok, Frank Edenhofer, et al.. (2019). Generation of two induced pluripotent stem cell lines from skin fibroblasts of sisters carrying a c.1094C>A variation in the SCN10A gene potentially associated with small fiber neuropathy. Stem Cell Research. 35. 101396–101396. 4 indexed citations
4.
Wörsdörfer, Philipp, et al.. (2019). Generation of complex human organoid models including vascular networks by incorporation of mesodermal progenitor cells. Scientific Reports. 9(1). 15663–15663. 202 indexed citations
5.
Jansch, Charline, Katharina Günther, Jonas Waider, et al.. (2018). Generation of a human induced pluripotent stem cell (iPSC) line from a 51-year-old female with attention-deficit/hyperactivity disorder (ADHD) carrying a duplication of SLC2A3. Stem Cell Research. 28. 136–140. 11 indexed citations
6.
Peruzzotti‐Jametti, Luca, Joshua D. Bernstock, Nunzio Vicario, et al.. (2018). Macrophage-Derived Extracellular Succinate Licenses Neural Stem Cells to Suppress Chronic Neuroinflammation. Cell stem cell. 22(3). 355–368.e13. 198 indexed citations
7.
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Wörsdörfer, Philipp, Jochen Bauer, Nicole Wagner, et al.. (2018). Generation of Cardiomyocytes From Vascular Adventitia-Resident Stem Cells. Circulation Research. 123(6). 686–699. 19 indexed citations
10.
Kwok, Chee Keong, Yuichiro Ueda, Katharina Günther, et al.. (2017). Scalable stirred suspension culture for the generation of billions of human induced pluripotent stem cells using single‐use bioreactors. Journal of Tissue Engineering and Regenerative Medicine. 12(2). e1076–e1087. 65 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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