Sharon Wu
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 31
- Cancer Immunotherapy and Biomarkers 8
- Drug Transport and Resistance Mechanisms 6
- Colorectal Cancer Treatments and Studies 4
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- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Houda Alachkar (11 shared papers)Yang Du (1 shared paper)David K. Ann (4 shared papers)Michael B. Bolger (3 shared papers)Mojtaba Akhtari (5 shared papers)Ian S. Haworth (3 shared papers)Sujit K. Basu (3 shared papers)Sarah F. Hamm‐Alvarez (3 shared papers)
- Journals
- Journal of Clinical Oncology (24 papers)Gynecologic Oncology (11 papers)Blood (3 papers)Molecular Cancer Therapeutics (2 papers)Journal of drug targeting (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Sharon Wu
58 papers receiving 638 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 73
- Oncology 235
- Physiology 36
- Cancer Research 100
- Hematology 42
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 1998 | 96 | |
| 3 | 1998 | 59 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 31 | |
| 6 | 2020 | 27 | |
| 7 | 1999 | 26 | |
| 8 | 2023 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 13 | |
| 14 | 1998 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2005 | 9 |
About Sharon Wu
Sharon Wu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Obstetrics and Gynecology, having authored 73 papers that have together received 643 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Acute Myeloid Leukemia Research (6 papers), Prostate Cancer Treatment and Research (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Biochemistry (73 citations), Oncology (235 citations), Physiology (36 citations), Cancer Research (100 citations) and Hematology (42 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, Michael B. Bolger, Mojtaba Akhtari, Ian S. Haworth, Sujit K. Basu, Sarah F. Hamm‐Alvarez, Curtis T. Okamoto and Hermann von Grafenstein. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Blood, Molecular Cancer Therapeutics and Journal of drug targeting.
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.