Michael H. Wu

463 total citations
8 papers, 390 citations indexed

About

Michael H. Wu is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Michael H. Wu has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Michael H. Wu's work include DNA Repair Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Michael H. Wu is often cited by papers focused on DNA Repair Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Michael H. Wu collaborates with scholars based in United States and Canada. Michael H. Wu's co-authors include M. Eileen Dolan, Edwin H. Cook, Wanqing Liu, Apurva A. Desai, Mark J. Ratain, Federico Innocenti, Bingfang Yan, Rod Humerickhouse, Soma Das and Peixian Chen and has published in prestigious journals such as Cancer Research, Stem Cells and Toxicology and Industrial Health.

In The Last Decade

Michael H. Wu

8 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael H. Wu United States 8 224 180 101 56 55 8 390
Brian C. Grieb United States 10 401 1.8× 148 0.8× 44 0.4× 74 1.3× 48 0.9× 16 561
Xiqiang Cai China 11 385 1.7× 154 0.9× 85 0.8× 225 4.0× 31 0.6× 14 616
Jianping Chen China 11 253 1.1× 205 1.1× 50 0.5× 82 1.5× 17 0.3× 20 451
Ching-Yuan Wu Taiwan 11 423 1.9× 191 1.1× 66 0.7× 136 2.4× 19 0.3× 13 598
Alicja Puszkiel France 10 106 0.5× 134 0.7× 50 0.5× 34 0.6× 40 0.7× 29 304
Young-Soon Na South Korea 12 271 1.2× 179 1.0× 78 0.8× 70 1.3× 26 0.5× 18 461
Ravat Panvichian Thailand 11 192 0.9× 130 0.7× 88 0.9× 79 1.4× 59 1.1× 18 356
Mingen Lin China 8 202 0.9× 178 1.0× 47 0.5× 58 1.0× 135 2.5× 18 473
Yi‐Fang Tsai Taiwan 13 219 1.0× 173 1.0× 94 0.9× 123 2.2× 15 0.3× 47 473
Lei Yan China 15 342 1.5× 94 0.5× 137 1.4× 162 2.9× 31 0.6× 43 584

Countries citing papers authored by Michael H. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael H. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Wu. A scholar is included among the top collaborators of Michael H. Wu 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 Michael H. Wu. Michael H. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wu, Michael H., et al.. (2011). Hydroquinone, a benzene metabolite, and leukemia: A case report and review of the literature. Toxicology and Industrial Health. 28(1). 64–73. 15 indexed citations
2.
Yamini, Bakhtiar, Xiaohong Yu, M. Eileen Dolan, et al.. (2007). Inhibition of Nuclear Factor-κB Activity by Temozolomide Involves O 6-Methylguanine–Induced Inhibition of p65 DNA Binding. Cancer Research. 67(14). 6889–6898. 33 indexed citations
3.
Liu, Wanqing, Federico Innocenti, Michael H. Wu, et al.. (2005). A Functional Common Polymorphism in a Sp1 Recognition Site of the Epidermal Growth Factor Receptor Gene Promoter. Cancer Research. 65(1). 46–53. 140 indexed citations
4.
Wu, Michael H., Peixian Chen, Xiaolin Wu, et al.. (2004). Determination and analysis of single nucleotide polymorphisms and haplotype structure of the human carboxylesterase 2 gene. Pharmacogenetics. 14(9). 595–605. 31 indexed citations
5.
Wu, Michael H., Peixian Chen, Benjamin Remo, et al.. (2003). Characterization of multiple promoters in the human carboxylesterase 2 gene. Pharmacogenetics. 13(7). 425–435. 36 indexed citations
6.
Wu, Michael H., Bingfang Yan, Rod Humerickhouse, & M. Eileen Dolan. (2002). Irinotecan activation by human carboxylesterases in colorectal adenocarcinoma cells.. PubMed. 8(8). 2696–700. 70 indexed citations
7.
Wu, Michael H., Stephen L. Smith, & M. Eileen Dolan. (2001). High Efficiency Electroporation of Human Umbilical Cord Blood CD34 + Hematopoietic Precursor Cells. Stem Cells. 19(6). 492–499. 24 indexed citations
8.
Cai, Yingna, Michael H. Wu, Meng Xu‐Welliver, et al.. (2000). 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.. PubMed. 60(19). 5464–9. 41 indexed citations

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.

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