Chia‐Ping Huang Yang
- Molecular Biology top 10%
- Oncology top 5%
- Cell Biology top 2%
- Plant Science top 10%
- Organic Chemistry
- Co-authors
- Susan Band HorwitzLee M. GreenbergerR.J. ArceciRonald A. DePinhoIsaac RabinoAlberto L. MancinelliO. Roger AndersonFerruccio Galbiati
- Topics
- Microtubule and mitosis dynamics (22 papers)Cancer Treatment and Pharmacology (18 papers)Drug Transport and Resistance Mechanisms (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Chia‐Ping Huang Yang
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.1k
- Oncology 853
- Cell Biology 513
- Plant Science 212
- Organic Chemistry 146
Countries citing papers authored by Chia‐Ping Huang Yang
This map shows the geographic impact of Chia‐Ping Huang Yang'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 Chia‐Ping Huang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ping Huang Yang more than expected).
Fields of papers citing papers by Chia‐Ping Huang Yang
This network shows the impact of papers produced by Chia‐Ping Huang Yang. 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 Chia‐Ping Huang Yang. The network helps show where Chia‐Ping Huang Yang may publish in the future.
Co-authorship network of co-authors of Chia‐Ping Huang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ping Huang Yang. A scholar is included among the top collaborators of Chia‐Ping Huang Yang 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 Chia‐Ping Huang Yang. Chia‐Ping Huang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 89 | |
| 3 | 20 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 58 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 66 | |
| 11 | 25 | |
| 12 | 60 | |
| 13 | 29 | |
| 14 | 31 | |
| 15 | 42 | |
| 16 | 25 | |
| 17 | 10 | |
| 18 | 24 | |
| 19 | 78 | |
| 20 | 26 |
About Chia‐Ping Huang Yang
Chia‐Ping Huang Yang is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (22 papers), Cancer Treatment and Pharmacology (18 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Cell Biology (513 citations), Oncology (853 citations) and Molecular Biology (1.1k citations). Chia‐Ping Huang Yang has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Susan Band Horwitz, Lee M. Greenberger, R.J. Arceci, Ronald A. DePinho, Isaac Rabino, Alberto L. Mancinelli, O. Roger Anderson, Ferruccio Galbiati, Michael P. Lisanti and Daniela Volonté. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.