Mei-Li Wen
- Hematology top 5%
- Oncology
- Genetics top 10%
- Molecular Biology
- Rheumatology top 10%
- Co-authors
- David KanStephen CastanedaFrancis Y. LeeKelly McGlincheyIvan InigoAmy CamusoRobert A. KramerKrista Fager
- Topics
- Chronic Lymphocytic Leukemia Research (6 papers)Cancer Treatment and Pharmacology (6 papers)Chronic Myeloid Leukemia Treatments (6 papers)
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesGermanyChina
In The Last Decade
Mei-Li Wen
17 papers receiving 328 citations
Peers
Comparison fields: 5 of 45
- Hematology 166
- Oncology 120
- Genetics 109
- Molecular Biology 94
- Rheumatology 84
Countries citing papers authored by Mei-Li Wen
This map shows the geographic impact of Mei-Li Wen'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 Mei-Li Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Li Wen more than expected).
Fields of papers citing papers by Mei-Li Wen
This network shows the impact of papers produced by Mei-Li Wen. 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 Mei-Li Wen. The network helps show where Mei-Li Wen may publish in the future.
Co-authorship network of co-authors of Mei-Li Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Li Wen. A scholar is included among the top collaborators of Mei-Li Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei-Li Wen. Mei-Li Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Synthesis and in vitro effects of BMS-753493, an epothilone-folate conjugate designed to selectively target FR expressing tumor cells | 2 |
| 4 | 7 | |
| 5 | 37 | |
| 6 | 43 | |
| 7 | Preclinical pharmacology of epothilone-folate conjugate BMS-753493, a tumor-targeting agent selected for clinical development | 8 |
| 8 | 5 | |
| 9 | 113 | |
| 10 | BMS-354825 potently inhibits multiple selected oncogenic tyrosine kinases and possesses broad-spectrum antitumor activities in vitro and in vivo | 38 |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 26 | |
| 14 | Pharmacodynamic analysis of target inhibition and tumor endothelial cell death in biopsies obtained from patients treated with the VEGF receptor antagonists SU5416 or SU6668 | 3 |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 16 |
About Mei-Li Wen
Mei-Li Wen is a scholar working on Genetics, Hematology and Oncology, having authored 17 papers that have together received 333 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Cancer Treatment and Pharmacology (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Hematology (166 citations), Genetics (109 citations) and Rheumatology (84 citations). Mei-Li Wen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include David Kan, Stephen Castaneda, Francis Y. Lee, Kelly McGlinchey, Ivan Inigo, Amy Camuso, Robert A. Kramer, Krista Fager, Christine Flefleh and Richard Smykla. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer 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.