Yu‐Nien Sun

445 total citations
8 papers, 355 citations indexed

About

Yu‐Nien Sun is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Yu‐Nien Sun has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Genetics. Recurrent topics in Yu‐Nien Sun's work include Pharmacogenetics and Drug Metabolism (4 papers), Estrogen and related hormone effects (3 papers) and Receptor Mechanisms and Signaling (2 papers). Yu‐Nien Sun is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Estrogen and related hormone effects (3 papers) and Receptor Mechanisms and Signaling (2 papers). Yu‐Nien Sun collaborates with scholars based in United States. Yu‐Nien Sun's co-authors include W J Jusko, Richard R. Almon, Debra C. DuBois, William J. Jusko, William J. Jusko, Lorraine I. McKay, Nancy A. Pyszczynski, Zhixin Xu and Hyejung Lee and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences and Muscle & Nerve.

In The Last Decade

Yu‐Nien Sun

8 papers receiving 346 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‐Nien Sun United States 8 135 73 62 50 36 8 355
Rohini Ramakrishnan United States 8 98 0.7× 41 0.6× 55 0.9× 31 0.6× 29 0.8× 10 365
Armin Bruelisauer Switzerland 8 120 0.9× 21 0.3× 81 1.3× 136 2.7× 42 1.2× 10 474
Hui C. Ko United States 5 106 0.8× 32 0.4× 67 1.1× 41 0.8× 7 0.2× 6 317
Matthew R. Durk United States 13 150 1.1× 35 0.5× 105 1.7× 254 5.1× 29 0.8× 28 691
Jessica D. Dietz United States 8 146 1.1× 327 4.5× 18 0.3× 34 0.7× 15 0.4× 8 496
L. Mike Furness United States 5 234 1.7× 40 0.5× 31 0.5× 17 0.3× 5 0.1× 7 375
Pritam S. Sahota United States 9 72 0.5× 45 0.6× 31 0.5× 53 1.1× 4 0.1× 16 353
C. Lindberg Sweden 14 118 0.9× 37 0.5× 51 0.8× 40 0.8× 8 0.2× 26 600
Mihwa Choi Japan 13 110 0.8× 36 0.5× 25 0.4× 44 0.9× 9 0.3× 16 656
Hirotoshi Kakuta Japan 14 221 1.6× 109 1.5× 28 0.5× 33 0.7× 5 0.1× 25 531

Countries citing papers authored by Yu‐Nien Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Nien Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Nien Sun. 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‐Nien Sun. The network helps show where Yu‐Nien Sun may publish in the future.

Co-authorship network of co-authors of Yu‐Nien Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Nien Sun. A scholar is included among the top collaborators of Yu‐Nien Sun 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‐Nien Sun. Yu‐Nien Sun 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.
Sun, Yu‐Nien & William J. Jusko. (1999). Role of baseline parameters in determining indirect pharmacodynamic responses. Journal of Pharmaceutical Sciences. 88(10). 987–990. 13 indexed citations
2.
Sun, Yu‐Nien, Hyejung Lee, Richard R. Almon, & William J. Jusko. (1999). A Pharmacokinetic/Pharmacodynamic Model for Recombinant Human Growth Hormone Effects on Induction of Insulin-Like Growth Factor I in Monkeys. Journal of Pharmacology and Experimental Therapeutics. 289(3). 1523–1532. 22 indexed citations
3.
Sun, Yu‐Nien, Lorraine I. McKay, Debra C. DuBois, William J. Jusko, & Richard R. Almon. (1999). Pharmacokinetic/Pharmacodynamic Models for Corticosteroid Receptor Down-Regulation and Glutamine Synthetase Induction in Rat Skeletal Muscle by a Receptor/Gene-Mediated Mechanism. Journal of Pharmacology and Experimental Therapeutics. 288(2). 720–728. 41 indexed citations
4.
Sun, Yu‐Nien, Debra C. DuBois, Richard R. Almon, Nancy A. Pyszczynski, & W J Jusko. (1998). Dose-Dependence and Repeated-Dose Studies for Receptor/Gene-Mediated Pharmacodynamics of Methylprednisolone on Glucocorticoid Receptor Down-Regulation and Tyrosine Aminotransferase Induction in Rat Liver. Journal of Pharmacokinetics and Biopharmaceutics. 26(6). 619–648. 41 indexed citations
6.
Sun, Yu‐Nien & W J Jusko. (1998). Transit Compartments versus Gamma Distribution Function To Model Signal Transduction Processes in Pharmacodynamics. Journal of Pharmaceutical Sciences. 87(6). 732–737. 129 indexed citations
7.
McKay, Lorraine I., Debra C. DuBois, Yu‐Nien Sun, Richard R. Almon, & William J. Jusko. (1997). Corticosteroid effects in skeletal muscle: Gene induction/receptor autoregulation. Muscle & Nerve. 20(10). 1318–1320. 23 indexed citations
8.
Xu, Zhixin, Yu‐Nien Sun, Debra C. DuBois, Richard R. Almon, & William J. Jusko. (1995). Third-generation model for corticosteroid pharmacodynamics: Roles of glucocorticoid receptor mRNA and tyrosine aminotransferase mRNA in rat liver. Journal of Pharmacokinetics and Biopharmaceutics. 23(2). 163–181. 28 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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