Wen‐Lin Kuo
- Co-authors
- David S. BredtMichael R. AltherrSara T. WinokurHouhui XiaJoe W. GrayColin C. CollinsHelene S. SmithSharmila Manjeshwar
- Topics
- Gene expression and cancer classification (4 papers)Genomic variations and chromosomal abnormalities (3 papers)Chromosomal and Genetic Variations (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Cell Biology
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
Wen‐Lin Kuo
19 papers receiving 584 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 434
- Genetics 127
- Cardiology and Cardiovascular Medicine 104
- Oncology 94
- Cancer Research 86
Countries citing papers authored by Wen‐Lin Kuo
This map shows the geographic impact of Wen‐Lin Kuo'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 Wen‐Lin Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Lin Kuo more than expected).
Fields of papers citing papers by Wen‐Lin Kuo
This network shows the impact of papers produced by Wen‐Lin Kuo. 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 Wen‐Lin Kuo. The network helps show where Wen‐Lin Kuo may publish in the future.
Co-authorship network of co-authors of Wen‐Lin Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Lin Kuo. A scholar is included among the top collaborators of Wen‐Lin Kuo 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 Wen‐Lin Kuo. Wen‐Lin Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | Abstract #5572: Small molecular inhibitor of centromere-associated protein E (CENP-E), GSK923295A inhibits cell growth in breast cancer cells | 1 |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 37 | |
| 10 | 12 | |
| 11 | 96 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | The human homologue for the Caenorhabditis elegans cul-4 gene is amplified and overexpressed in primary breast cancers. | 136 |
| 15 | 193 | |
| 16 | 13 | |
| 17 | 12 | |
| 18 | A candidate tumor suppressor gene in human breast cancers. | 37 |
| 19 | Survey of error propagation in systems | 1 |
About Wen‐Lin Kuo
Wen‐Lin Kuo is a scholar working on Aging, Computer Science Applications and Cell Biology, having authored 19 papers that have together received 599 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (434 citations), Cancer Research (86 citations) and Cell Biology (77 citations). Wen‐Lin Kuo has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include David S. Bredt, Michael R. Altherr, Sara T. Winokur, Houhui Xia, Joe W. Gray, Colin C. Collins, Helene S. Smith, Sharmila Manjeshwar, You Lu and Ling‐Chun Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Cell Biology.
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.