Michael H. Wu
Impact in
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- Colorectal Cancer Treatments and Studies
- HER2/EGFR in Cancer Research
- Drug Transport and Resistance Mechanisms
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- DNA Repair Mechanisms 2
- Cancer therapeutics and mechanisms 1
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- Cholinesterase and Neurodegenerative Diseases 2
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- M. Eileen Dolan (5 shared papers)Edwin H. Cook (3 shared papers)Wanqing Liu (2 shared papers)Federico Innocenti (1 shared paper)Apurva A. Desai (1 shared paper)Mark J. Ratain (1 shared paper)Rod Humerickhouse (1 shared paper)Bingfang Yan (1 shared paper)
- Journals
- Cancer Research (2 papers)Toxicology and Industrial Health (1 paper)Stem Cells (1 paper)Pharmacogenetics (2 papers)PubMed (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Michael H. Wu
8 papers receiving 384 citations
Peers
Comparison fields: 5 of 70
- Oncology 180
- Pharmacology 55
- Cancer Research 56
- Molecular Biology 224
- Pulmonary and Respiratory Medicine 101
Countries citing papers authored by Michael H. Wu
This map shows the geographic impact of Michael H. 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 Michael H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Wu more than expected).
Fields of papers citing papers by Michael H. Wu
This network shows the impact of papers produced by Michael H. 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 Michael H. Wu. The network helps show where Michael H. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael H. 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 | 2005 | 140 | |
| 2 | Irinotecan activation by human carboxylesterases in colorectal adenocarcinoma cells. | 2002 | 70 |
| 3 | Effect of O6-benzylguanine on alkylating agent-induced toxicity and mutagenicity. In Chinese hamster ovary cells expressing wild-type and mutant O6-alkylguanine-DNA alkyltransferases. | 2000 | 41 |
| 4 | 2003 | 36 | |
| 5 | 2007 | 33 | |
| 6 | 2004 | 31 | |
| 7 | 2001 | 24 | |
| 8 | 2011 | 15 |
About Michael H. Wu
Michael H. Wu is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Pharmacology and Cancer Research, having authored 8 papers that have together received 390 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (2 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), DNA Repair Mechanisms (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer therapeutics and mechanisms (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Oncology (180 citations), Pharmacology (55 citations), Cancer Research (56 citations), Molecular Biology (224 citations) and Pulmonary and Respiratory Medicine (101 citations). Michael H. Wu has collaborated with scholars based in United States and Canada. Frequent co-authors include M. Eileen Dolan, Edwin H. Cook, Wanqing Liu, Federico Innocenti, Apurva A. Desai, Mark J. Ratain, Rod Humerickhouse, Bingfang Yan, Peixian Chen and Soma Das. Their work appears in journals such as Cancer Research, Toxicology and Industrial Health, Stem Cells, Pharmacogenetics and PubMed.
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.