Jocelyn Yabut

1.8k total citations
19 papers, 1.3k citations indexed

About

Jocelyn Yabut is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Jocelyn Yabut has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Pediatrics, Perinatology and Child Health and 4 papers in Molecular Biology. Recurrent topics in Jocelyn Yabut's work include Drug Transport and Resistance Mechanisms (13 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Jocelyn Yabut is often cited by papers focused on Drug Transport and Resistance Mechanisms (13 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Jocelyn Yabut collaborates with scholars based in United States, Thailand and Netherlands. Jocelyn Yabut's co-authors include Catherine Mytilineou, Brian C. Kramer, Raymond Evers, Xiaoyan Chu, C. Warren Olanow, P. Shashidharan, Xiaoxin Cai, Kevin St. P. McNaught, Dylan P. Hartley and Grace Chan and has published in prestigious journals such as Nucleic Acids Research, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Jocelyn Yabut

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jocelyn Yabut United States 16 471 357 314 273 232 19 1.3k
Claire Boursier-Neyret France 12 310 0.7× 468 1.3× 187 0.6× 128 0.5× 93 0.4× 18 1.1k
Joanne Wang United States 17 588 1.2× 363 1.0× 118 0.4× 399 1.5× 44 0.2× 29 1.2k
Jon A. Gangoiti United States 23 267 0.6× 758 2.1× 113 0.4× 269 1.0× 137 0.6× 42 1.6k
Kazuhide Iwasaki Japan 26 683 1.5× 502 1.4× 931 3.0× 415 1.5× 30 0.1× 68 2.0k
Niclas Tindberg Sweden 13 311 0.7× 273 0.8× 498 1.6× 118 0.4× 37 0.2× 15 977
Marcella Martignoni Italy 12 646 1.4× 546 1.5× 684 2.2× 108 0.4× 37 0.2× 22 1.8k
Ryan W. Dellinger United States 24 592 1.3× 1.0k 2.8× 384 1.2× 94 0.3× 58 0.3× 39 2.3k
Marina Tinel France 25 378 0.8× 401 1.1× 795 2.5× 114 0.4× 31 0.1× 47 1.5k
Zhiming Wen United States 14 100 0.2× 484 1.4× 308 1.0× 102 0.4× 48 0.2× 17 1.2k
F C Kauffman United States 20 145 0.3× 410 1.1× 415 1.3× 47 0.2× 156 0.7× 57 1.4k

Countries citing papers authored by Jocelyn Yabut

Since Specialization
Citations

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

Fields of papers citing papers by Jocelyn Yabut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jocelyn Yabut. 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 Jocelyn Yabut. The network helps show where Jocelyn Yabut may publish in the future.

Co-authorship network of co-authors of Jocelyn Yabut

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

All Works

19 of 19 papers shown
1.
Yabut, Jocelyn, et al.. (2022). Selection of an Optimal In Vitro Model to Assess P-gp Inhibition: Comparison of Vesicular and Bidirectional Transcellular Transport Inhibition Assays. Drug Metabolism and Disposition. 50(7). 909–922. 5 indexed citations
2.
3.
Chan, Grace, Robert Houle, Meihong Lin, et al.. (2019). Role of transporters in the disposition of a novel β-lactamase inhibitor: relebactam (MK-7655). Journal of Antimicrobial Chemotherapy. 74(7). 1894–1903. 13 indexed citations
4.
Prueksaritanont, Thomayant, Xiaoyan Chu, Radha Railkar, et al.. (2016). Validation of a microdose probe drug cocktail for clinical drug interaction assessments for drug transporters and CYP3A. Clinical Pharmacology & Therapeutics. 101(4). 519–530. 109 indexed citations
5.
Salphati, Laurent, Xiaoyan Chu, Liangfu Chen, et al.. (2014). Evaluation of Organic Anion Transporting Polypeptide 1B1 and 1B3 Humanized Mice as a Translational Model to Study the Pharmacokinetics of Statins. Drug Metabolism and Disposition. 42(8). 1301–1313. 30 indexed citations
6.
Melchior, Donald L., Frances J. Sharom, Raymond Evers, et al.. (2012). Determining P-glycoprotein–drug interactions: Evaluation of reconstituted P-glycoprotein in a liposomal system and LLC-MDR1 polarized cell monolayers. Journal of Pharmacological and Toxicological Methods. 65(2). 64–74. 27 indexed citations
7.
Aloysius, Herve, Vincent Tong, Jocelyn Yabut, et al.. (2012). Metabolic Activation and Major Protein Target of a 1-Benzyl-3-carboxyazetidine Sphingosine-1-phosphate-1 Receptor Agonist. Chemical Research in Toxicology. 25(7). 1412–1422. 16 indexed citations
8.
Chu, Xiaoyan, Zuo‐Feng Zhang, Jocelyn Yabut, et al.. (2011). Characterization of Multidrug Resistance 1a/P-Glycoprotein Knockout Rats Generated by Zinc Finger Nucleases. Molecular Pharmacology. 81(2). 220–227. 35 indexed citations
9.
Reitman, Marc L., Xiaoyan Chu, Xiaoxin Cai, et al.. (2010). Rifampin's Acute Inhibitory and Chronic Inductive Drug Interactions: Experimental and Model-Based Approaches to Drug–Drug Interaction Trial Design. Clinical Pharmacology & Therapeutics. 89(2). 234–242. 133 indexed citations
10.
Hariparsad, Niresh, Xiaoyan Chu, Jocelyn Yabut, et al.. (2009). Identification of pregnane-X receptor target genes and coactivator and corepressor binding to promoter elements in human hepatocytes. Nucleic Acids Research. 37(4). 1160–1173. 60 indexed citations
11.
Chu, Xiaoyan, Kelly Bleasby, Jocelyn Yabut, et al.. (2007). Transport of the Dipeptidyl Peptidase-4 Inhibitor Sitagliptin by Human Organic Anion Transporter 3, Organic Anion Transporting Polypeptide 4C1, and Multidrug Resistance P-glycoprotein. Journal of Pharmacology and Experimental Therapeutics. 321(2). 673–683. 143 indexed citations
12.
Chu, Xiaoyan, John R. Strauss, Jing Li, et al.. (2006). Characterization of Mice Lacking the Multidrug Resistance Protein Mrp2 (Abcc2). Journal of Pharmacology and Experimental Therapeutics. 317(2). 579–589. 105 indexed citations
13.
14.
Olson, Steven H., James M. Balkovec, Yunping Zhu, et al.. (2006). Attenuating pregnane X receptor (PXR) activation: A molecular modelling approach. Xenobiotica. 37(2). 124–138. 51 indexed citations
15.
Kramer, Brian C., et al.. (2004). Toxicity of glutathione depletion in mesencephalic cultures: a role for arachidonic acid and its lipoxygenase metabolites. European Journal of Neuroscience. 19(2). 280–286. 19 indexed citations
16.
Mytilineou, Catherine, et al.. (2004). Inhibition of proteasome activity sensitizes dopamine neurons to protein alterations and oxidative stress. Journal of Neural Transmission. 111(10-11). 1237–1251. 50 indexed citations
17.
Mytilineou, Catherine, Brian C. Kramer, & Jocelyn Yabut. (2002). Glutathione depletion and oxidative stress. Parkinsonism & Related Disorders. 8(6). 385–387. 188 indexed citations
18.
Kramer, Brian C., et al.. (2002). Lipopolysaccharide prevents cell death caused by glutathione depletion: possible mechanisms of protection. Neuroscience. 114(2). 361–372. 17 indexed citations
19.
McNaught, Kevin St. P., et al.. (2002). Impairment of the ubiquitin‐proteasome system causes dopaminergic cell death and inclusion body formation in ventral mesencephalic cultures. Journal of Neurochemistry. 81(2). 301–306. 248 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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