Yin‐tak Woo

962 citations
24 papers · 534 indexed · h-index 13

Yin‐tak Woo

22 papers receiving 482 citations

Peers

Yin‐tak Woo
Comparison fields: 5 of 94
  • Chemical Health and Safety 14
  • Health, Toxicology and Mutagenesis 200
  • Cancer Research 138
  • Computational Theory and Mathematics 111
  • Environmental Chemistry 69
Replace David R. Geter with:
David R. Geter United States
Jerry N. Blancato United States
Itsu Kano Japan
James Harvey United Kingdom
Warren W. Ku United States
Laura H.J. de Haan Netherlands
Tomoko Okubo Japan
Maurizio Taningher Italy
Sini Flückiger‐Isler Germany
Eiichi Kamata Japan
Yin‐tak Woo relative to David R. Geter United States David R. Geter's profile →
Citations per field
00.5×2.8×
David R. Geter · 1×
Citations per year

Countries citing papers authored by Yin‐tak Woo

Since Specialization
Citations

This map shows the geographic impact of Yin‐tak Woo'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 Yin‐tak Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin‐tak Woo more than expected).

Fields of papers citing papers by Yin‐tak Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin‐tak Woo. 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 Yin‐tak Woo. The network helps show where Yin‐tak Woo may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Yin‐tak Woo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yin‐tak Woo Line = papers co-authored together Yin‐tak Woo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002181
2 199812
3 199618
4 199514
5 199585
6 19948
7 19890
8 19890
9 19874
10
Chemical induction of cancer: structural bases and biological mechanisms. Volume IIIB. Aliphatic and polyhalogenated carcinogens
19853
11 19822
12 198010
13 197929
14
Effect of mixed-function oxidase modifiers on metabolism and toxicity of the oncogen dioxane.
197811
15 197717
16 197715
17 197718
18 197712
19 19749
20 197334

About Yin‐tak Woo

Yin‐tak Woo is a scholar working on Chemical Health and Safety, Biochemistry and Cancer Research, having authored 24 papers that have together received 534 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Computational Drug Discovery Methods (5 papers), Toxic Organic Pollutants Impact (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Glutathione Transferases and Polymorphisms (3 papers), Chemistry and Chemical Engineering (3 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Chemical Health and Safety (14 citations), Health, Toxicology and Mutagenesis (200 citations) and Cancer Research (138 citations). Yin‐tak Woo has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include David Y. Lai, Mary F. Argus, Joseph C. Arcos, Mary K. Manibusan, Vicki L. Dellarco, J. F. Manery, Gary W. Griffin, J. C. Arcos, Stephen C. Myers and Marvin A. Friedman. Their work appears in journals such as Environmental Health Perspectives, Archives of Biochemistry and Biophysics and Biochemical 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.

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