Cathy S. Wang
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 20
- Multiple Myeloma Research and Treatments 20
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- Glycosylation and Glycoproteins Research 5
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 3
- Co-authors
- James R. Berenson (28 shared papers)Eric Sanchez (26 shared papers)Mingjie Li (23 shared papers)Haiming Chen (17 shared papers)Regina A. Swift (9 shared papers)George Tang (12 shared papers)Nika M Harutyunyan (2 shared papers)Benjamin Bonavida (8 shared papers)
- Journals
- Blood (18 papers)British Journal of Haematology (3 papers)Molecular Cancer Research (1 paper)Clinical Cancer Research (1 paper)Acta Biomaterialia (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Cathy S. Wang
32 papers receiving 792 citations
Peers
Comparison fields: 5 of 58
- Hematology 449
- Oncology 451
- Radiology, Nuclear Medicine and Imaging 240
- Immunology 190
- Genetics 63
Countries citing papers authored by Cathy S. Wang
This map shows the geographic impact of Cathy S. 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 S. 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 S. Wang more than expected).
Fields of papers citing papers by Cathy S. Wang
This network shows the impact of papers produced by Cathy S. 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 S. Wang. The network helps show where Cathy S. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cathy S. 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 210 | |
| 2 | 2016 | 140 | |
| 3 | 2016 | 87 | |
| 4 | 2008 | 70 | |
| 5 | 2019 | 45 | |
| 6 | 2017 | 35 | |
| 7 | 2022 | 32 | |
| 8 | 2018 | 24 | |
| 9 | 2022 | 22 | |
| 10 | 2007 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 5 |
About Cathy S. Wang
Cathy S. Wang is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 32 papers that have together received 802 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (5 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (449 citations), Oncology (451 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Immunology (190 citations) and Genetics (63 citations). Cathy S. Wang has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include James R. Berenson, Eric Sanchez, Mingjie Li, Haiming Chen, Regina A. Swift, George Tang, Nika M Harutyunyan, Benjamin Bonavida, Suzie Vardanyan and Tanya M. Spektor. Their work appears in journals such as Blood, British Journal of Haematology, Molecular Cancer Research, Clinical Cancer Research and Acta Biomaterialia.
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.