Sharon Wu
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in ⓘ
-
- Endometrial and Cervical Cancer Treatments 9
- Oncology 29
- Cancer Immunotherapy and Biomarkers 7
- Drug Transport and Resistance Mechanisms 6
- Co-authors
- Houda Alachkar (11 shared papers)Yang Du (1 shared paper)David K. Ann (4 shared papers)Mojtaba Akhtari (5 shared papers)Ian S. Haworth (3 shared papers)Sarah F. Hamm‐Alvarez (3 shared papers)Michael B. Bolger (3 shared papers)Curtis T. Okamoto (3 shared papers)
- Journals
- Journal of Clinical Oncology (24 papers)Gynecologic Oncology (10 papers)Blood (3 papers)Journal of drug targeting (2 papers)Pharmaceutical Research (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Sharon Wu
55 papers receiving 599 citations
Peers
Comparison fields: 5 of 77
- Biochemistry 77
- Oncology 247
- Physiology 38
- Cancer Research 113
- Hematology 53
Countries citing papers authored by Sharon Wu
This map shows the geographic impact of Sharon Wu'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 Sharon Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Wu more than expected).
Fields of papers citing papers by Sharon Wu
This network shows the impact of papers produced by Sharon Wu. 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 Sharon Wu. The network helps show where Sharon Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharon Wu, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 1998 | 94 | |
| 3 | 1998 | 57 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 30 | |
| 6 | 2020 | 27 | |
| 7 | 1999 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 1998 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2005 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2023 | 6 |
About Sharon Wu
Sharon Wu is a scholar working on Obstetrics and Gynecology, Oncology, Cancer Research, Hematology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 604 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), Acute Myeloid Leukemia Research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Prostate Cancer Treatment and Research (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Biochemistry (77 citations), Oncology (247 citations), Physiology (38 citations), Cancer Research (113 citations) and Hematology (53 citations). Sharon Wu has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Houda Alachkar, Yang Du, David K. Ann, Mojtaba Akhtari, Ian S. Haworth, Sarah F. Hamm‐Alvarez, Michael B. Bolger, Curtis T. Okamoto, Hermann von Grafenstein and Sujit K. Basu. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Blood, Journal of drug targeting and Pharmaceutical 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.