Yin‐tak Woo

61 total papers · 961 total citations
24 papers, 534 citations indexed

About

Yin‐tak Woo is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yin‐tak Woo has authored 24 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yin‐tak Woo's work include Carcinogens and Genotoxicity Assessment (7 papers), Toxic Organic Pollutants Impact (5 papers) and Computational Drug Discovery Methods (5 papers). Yin‐tak Woo is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Toxic Organic Pollutants Impact (5 papers) and Computational Drug Discovery Methods (5 papers). Yin‐tak Woo collaborates with scholars based in United States, Canada and Czechia. Yin‐tak Woo's 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, Marvin A. Friedman and Stephen C. Myers and has published in prestigious journals such as Environmental Health Perspectives, Archives of Biochemistry and Biophysics and Biochemical Pharmacology.

In The Last Decade

Yin‐tak Woo

22 papers receiving 482 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yin‐tak Woo	200	138	119	111	69	24	534
Gunde Egeskov Jensen	224 1.1×	64 0.5×	120 1.0×	61 0.5×	59 0.9×	27	543
Douglas W. Bristol	90 0.5×	64 0.5×	85 0.7×	132 1.2×	30 0.4×	24	452
Albert R. Cunningham	158 0.8×	170 1.2×	121 1.0×	213 1.9×	23 0.3×	42	601
Robert Thomas	271 1.4×	113 0.8×	139 1.2×	38 0.3×	50 0.7×	21	603
Roustem Saiakhov	77 0.4×	52 0.4×	171 1.4×	322 2.9×	52 0.8×	27	598
Virunya S. Bhat	233 1.2×	132 1.0×	150 1.3×	38 0.3×	26 0.4×	24	504
Pasi Huuskonen	179 0.9×	55 0.4×	140 1.2×	25 0.2×	21 0.3×	27	557
Ginette Charest‐Tardif	375 1.9×	226 1.6×	38 0.3×	83 0.7×	54 0.8×	26	576
Nancy McCarroll	232 1.2×	243 1.8×	137 1.2×	32 0.3×	17 0.2×	13	618
Jerry N. Blancato	201 1.0×	149 1.1×	99 0.8×	99 0.9×	22 0.3×	23	516

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 of co-authors of Yin‐tak Woo

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

All Works

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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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