Hsiao‐Wang Chen
- Molecular Biology
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- Richard J. PietrasDiana C. Márquez‐GarbánLee GoodglickMichael C. FishbeinDennis J. SlamonErika von EuwLee AndersonEdward M. De Robertis
- Topics
- Estrogen and related hormone effects (4 papers)Cancer-related molecular mechanisms research (4 papers)Ovarian cancer diagnosis and treatment (3 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Hsiao‐Wang Chen
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 494
- Oncology 409
- Pulmonary and Respiratory Medicine 382
- Genetics 237
- Cancer Research 172
Countries citing papers authored by Hsiao‐Wang Chen
This map shows the geographic impact of Hsiao‐Wang Chen'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 Hsiao‐Wang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiao‐Wang Chen more than expected).
Fields of papers citing papers by Hsiao‐Wang Chen
This network shows the impact of papers produced by Hsiao‐Wang Chen. 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 Hsiao‐Wang Chen. The network helps show where Hsiao‐Wang Chen may publish in the future.
Co-authorship network of co-authors of Hsiao‐Wang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao‐Wang Chen. A scholar is included among the top collaborators of Hsiao‐Wang Chen 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 Hsiao‐Wang Chen. Hsiao‐Wang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 12 | |
| 3 | 52 | |
| 4 | 18 | |
| 5 | 19 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 180 | |
| 11 | 6 | |
| 12 | PD-0332991, a potent and selective inhibitor of cyclin-dependent kinase 4/6, demonstrates inhibition of proliferation in renal cell carcinoma at nanomolar concentrations and molecular markers predict for sensitivity. | 88 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 71 | |
| 16 | 83 | |
| 17 | 1 | |
| 18 | 104 | |
| 19 | 190 | |
| 20 | 92 |
About Hsiao‐Wang Chen
Hsiao‐Wang Chen is a scholar working on Oncology, Cancer Research and Reproductive Medicine, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Cancer-related molecular mechanisms research (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Oncology (409 citations), Pulmonary and Respiratory Medicine (382 citations) and Cancer Research (172 citations). Hsiao‐Wang Chen has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Richard J. Pietras, Diana C. Márquez‐Garbán, Lee Goodglick, Michael C. Fishbein, Dennis J. Slamon, Erika von Euw, Lee Anderson, Edward M. De Robertis, Diego Ploper and Lídia Robert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.
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.