Yu-Ding Guo

1.1k total citations
7 papers, 889 citations indexed

About

Yu-Ding Guo is a scholar working on Pharmacology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yu-Ding Guo has authored 7 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Pathology and Forensic Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yu-Ding Guo's work include Pharmacogenetics and Drug Metabolism (5 papers), Vitamin D Research Studies (4 papers) and Estrogen and related hormone effects (3 papers). Yu-Ding Guo is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Vitamin D Research Studies (4 papers) and Estrogen and related hormone effects (3 papers). Yu-Ding Guo collaborates with scholars based in Canada, United Kingdom and Denmark. Yu-Ding Guo's co-authors include F. Jeffrey Dilworth, Jay A. White, Martin Petkovich, Glenville Jones, Kristin Baetz, Stephen A. Strugnell, Donald W. Back, Gregory Jones, Glenville Jones and David E. Prosser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Yu-Ding Guo

7 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Ding Guo Canada 7 620 343 201 164 133 7 889
Glenville Jones Canada 11 967 1.6× 523 1.5× 302 1.5× 161 1.0× 98 0.7× 14 1.3k
Thomas Fixemer Germany 13 546 0.9× 360 1.0× 40 0.2× 63 0.4× 138 1.0× 18 1.2k
Jun Kawagoe Japan 17 592 1.0× 260 0.8× 28 0.1× 91 0.6× 115 0.9× 27 1.2k
Sandra A. Kerner United States 10 689 1.1× 645 1.9× 48 0.2× 640 3.9× 201 1.5× 10 1.3k
Hwee Luan Ang United States 13 559 0.9× 130 0.4× 124 0.6× 71 0.4× 17 0.1× 14 738
Kai-Shun Chen United States 8 554 0.9× 235 0.7× 10 0.0× 213 1.3× 72 0.5× 10 841
Ju Youn Beak United States 14 482 0.8× 280 0.8× 24 0.1× 26 0.2× 92 0.7× 17 874
D D Moore United States 9 1.0k 1.7× 328 1.0× 21 0.1× 34 0.2× 201 1.5× 13 1.4k
S P Tam Canada 16 383 0.6× 162 0.5× 25 0.1× 24 0.1× 202 1.5× 20 801
Petra Koza‐Taylor United States 13 300 0.5× 245 0.7× 13 0.1× 45 0.3× 86 0.6× 22 692

Countries citing papers authored by Yu-Ding Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ding Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ding Guo. 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 Yu-Ding Guo. The network helps show where Yu-Ding Guo may publish in the future.

Co-authorship network of co-authors of Yu-Ding Guo

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

All Works

7 of 7 papers shown
1.
Prosser, David E., Yu-Ding Guo, Zongchao Jia, & Glenville Jones. (2006). Structural Motif-Based Homology Modeling of CYP27A1 and Site-Directed Mutational Analyses Affecting Vitamin D Hydroxylation. Biophysical Journal. 90(10). 3389–3409. 33 indexed citations
2.
Masuda, Sonoko, David E. Prosser, Yu-Ding Guo, Martin Kaufmann, & Glenville Jones. (2006). Generation of a homology model for the human cytochrome P450, CYP24A1, and the testing of putative substrate binding residues by site-directed mutagenesis and enzyme activity studies. Archives of Biochemistry and Biophysics. 460(2). 177–191. 24 indexed citations
3.
White, Jay A., et al.. (1997). cDNA Cloning of Human Retinoic Acid-metabolizing Enzyme (hP450RAI) Identifies a Novel Family of Cytochromes P450 (CYP26). Journal of Biological Chemistry. 272(30). 18538–18541. 339 indexed citations
4.
White, Jay A., Yu-Ding Guo, Kristin Baetz, et al.. (1996). Identification of the Retinoic Acid-inducible All-trans-retinoic Acid 4-Hydroxylase. Journal of Biological Chemistry. 271(47). 29922–29927. 321 indexed citations
5.
Dilworth, F. Jeffrey, Stephen M. Black, Yu-Ding Guo, Walter L. Miller, & Glenville Jones. (1996). Construction of a P450c27 fusion enzyme: a useful tool for analysis of vitamin D3 25-hydroxylase activity. Biochemical Journal. 320(1). 267–271. 14 indexed citations
6.
Dilworth, F. Jeffrey, Ian M. Scott, Andrew Green, et al.. (1995). Different Mechanisms of Hydroxylation Site Selection by Liver and Kidney Cytochrome P450 Species (CYP27 and CYP24) Involved in Vitamin D Metabolism. Journal of Biological Chemistry. 270(28). 16766–16774. 31 indexed citations
7.
Guo, Yu-Ding, Stephen A. Strugnell, Donald W. Back, & Gregory Jones. (1993). Transfected human liver cytochrome P-450 hydroxylates vitamin D analogs at different side-chain positions.. Proceedings of the National Academy of Sciences. 90(18). 8668–8672. 127 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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