Suhlan Wu
Impact in
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
- Transplantation top 10%
Papers in
-
- Retinoids in leukemia and cellular processes 5
- Cancer therapeutics and mechanisms 2
- Oncology 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Kenneth S. Bauer (5 shared papers)Barbara A. Conley (5 shared papers)Douglas D. Ross (3 shared papers)Glenn Tisman (1 shared paper)David A. Van Echo (2 shared papers)Richard M. Niles (1 shared paper)Naoko Takebe (2 shared papers)Marcia I. Dawson (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)Journal of Clinical Oncology (1 paper)Carcinogenesis (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United States
In The Last Decade
Suhlan Wu
11 papers receiving 506 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 66
- Transplantation 17
- Physiology 26
- Oncology 141
- Molecular Biology 330
Countries citing papers authored by Suhlan Wu
This map shows the geographic impact of Suhlan 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 Suhlan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhlan Wu more than expected).
Fields of papers citing papers by Suhlan Wu
This network shows the impact of papers produced by Suhlan 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 Suhlan Wu. The network helps show where Suhlan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhlan 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
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 114 | |
| 2 | 2003 | 65 | |
| 3 | 2006 | 65 | |
| 4 | 1997 | 64 | |
| 5 | 2000 | 55 | |
| 6 | 2004 | 37 | |
| 7 | 2007 | 36 | |
| 8 | Effectiveness of intermediate-dose methotrexate and high-dose 5-fluorouracil as sequential combination chemotherapy in refractory breast cancer and as primary therapy in metastatic adenocarcinoma of the colon. | 1981 | 23 |
| 9 | Phase I trial of all-trans retinoic acid in patients with treated head and neck squamous carcinoma. | 2000 | 20 |
| 10 | 2004 | 19 | |
| 11 | 1999 | 19 |
About Suhlan Wu
Suhlan Wu is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Hematology, having authored 11 papers that have together received 517 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (5 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer therapeutics and mechanisms (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Estrogen and related hormone effects (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Biochemistry (66 citations), Transplantation (17 citations), Physiology (26 citations), Oncology (141 citations) and Molecular Biology (330 citations). Suhlan Wu has collaborated with scholars based in United States. Frequent co-authors include Kenneth S. Bauer, Barbara A. Conley, Douglas D. Ross, Glenn Tisman, David A. Van Echo, Richard M. Niles, Naoko Takebe, Marcia I. Dawson, Xiangfei Cheng and José V. Ordóñez. Their work appears in journals such as Clinical Cancer Research, Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Carcinogenesis and Molecular Pharmacology.
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.