Cathy Wang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Bone Metabolism and Diseases
- Ubiquitin and proteasome pathways
Papers in
- Hematology 31
- Multiple Myeloma Research and Treatments 31
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- Advancements in Photolithography Techniques 14
- Co-authors
- Minghao Zheng (5 shared papers)Jiake Xu (5 shared papers)Kirk H. M. Yip (2 shared papers)James R. Berenson (31 shared papers)Eric Sanchez (28 shared papers)Haiming Chen (26 shared papers)Mingjie Li (29 shared papers)James H. Steer (2 shared papers)
- Journals
- Blood (16 papers)British Journal of Haematology (5 papers)Leukemia Research (2 papers)JCO Clinical Cancer Informatics (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Cathy Wang
61 papers receiving 1k citations
Peers
Comparison fields: 5 of 96
- Hematology 221
- Molecular Biology 347
- Virology 19
- Pathology and Forensic Medicine 57
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Cathy Wang
This map shows the geographic impact of Cathy Wang'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 Cathy Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Wang more than expected).
Fields of papers citing papers by Cathy Wang
This network shows the impact of papers produced by Cathy Wang. 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 Cathy Wang. The network helps show where Cathy Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cathy Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 133 | |
| 2 | 2003 | 88 | |
| 3 | 2015 | 77 | |
| 4 | 2009 | 69 | |
| 5 | 2003 | 55 | |
| 6 | 2010 | 41 | |
| 7 | 2019 | 41 | |
| 8 | 2007 | 37 | |
| 9 | 2012 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2006 | 26 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 23 | |
| 14 | 2019 | 23 | |
| 15 | 2012 | 22 | |
| 16 | 2004 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2015 | 19 | |
| 20 | 2008 | 18 |
About Cathy Wang
Cathy Wang is a scholar working on Hematology, Electrical and Electronic Engineering, Virology, Molecular Biology and Oncology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (31 papers), Advancements in Photolithography Techniques (14 papers), Bone Metabolism and Diseases (5 papers), Advanced Measurement and Metrology Techniques (4 papers), Innovations in Medical Education (3 papers), Optical measurement and interference techniques (3 papers), HIV Research and Treatment (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Hematology (221 citations), Molecular Biology (347 citations), Virology (19 citations), Pathology and Forensic Medicine (57 citations) and Computer Vision and Pattern Recognition (67 citations). Cathy Wang has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Minghao Zheng, Jiake Xu, Kirk H. M. Yip, James R. Berenson, Eric Sanchez, Haiming Chen, Mingjie Li, James H. Steer, David A. Joyce and Benjamin Bonavida. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, JCO Clinical Cancer Informatics and PLoS ONE.
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.