Ming-Tao Wu

2.9k citations
11 papers · 2.5k indexed · 1 hit paper · h-index 11
Topics
Sphingolipid Metabolism and Signaling (7 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Inflammatory mediators and NSAID effects (3 papers)

In The Last Decade

Ming-Tao Wu

11 papers receiving 2.4k citations

Hit Papers

Overexpression of Cyclooxygenase-2 Is Sufficient to Induc...20012026200920172001200400600

Peers

Ming-Tao Wu
Comparison fields: 5 of 92
  • Molecular Biology 1.7k
  • Pharmacology 583
  • Cell Biology 443
  • Genetics 415
  • Cancer Research 269
Replace F. Gregory Buchanan with:
F. Gregory Buchanan United States
Youxi Ai United States
Yoshitake Murayama Japan
Hideki Kamitani Japan
Kristina S. Kovacina United States
Bernard Rothhut France
Angelika Börsch-Haubold United Kingdom
Chihiro Mogi Japan
Krzysztof Paliga Germany
Stephen S. Chung United States
Ming-Tao Wu relative to F. Gregory Buchanan United States F. Gregory Buchanan's profile →
Citations per field
00.5×2.6×
F. Gregory Buchanan · 1×
Citations per year

Countries citing papers authored by Ming-Tao Wu

Since Specialization
Citations

This map shows the geographic impact of Ming-Tao 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 Ming-Tao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Tao Wu more than expected).

Fields of papers citing papers by Ming-Tao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Tao 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 Ming-Tao Wu. The network helps show where Ming-Tao Wu may publish in the future.

Co-authorship network of co-authors of Ming-Tao Wu

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 184
2 158
3 342
4 173
5 37
6 133
7 141
8 329
9 31
10 262
11
Overexpression of Cyclooxygenase-2 Is Sufficient to Induce Tumorigenesis in Transgenic Micebreakdown →
661

About Ming-Tao Wu

Ming-Tao Wu is a scholar working on Cell Biology, Physiology and Pharmacology, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Pharmacology (583 citations), Cell Biology (443 citations) and Molecular Biology (1.7k citations). Ming-Tao Wu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Timothy Hla, Catherine H. Liu, Shobha Thangada, Sung-Hee Chang, Myat Lin Oo, Ovidiu C. Trifan, Timothy F. Lane, Kirsi Narko, Christian C. Haudenschild and Elizabeth Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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