Brian Rago

973 total citations
20 papers, 525 citations indexed

About

Brian Rago is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Brian Rago has authored 20 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Brian Rago's work include Drug Transport and Resistance Mechanisms (8 papers), HER2/EGFR in Cancer Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Brian Rago is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), HER2/EGFR in Cancer Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Brian Rago collaborates with scholars based in United States, Finland and Japan. Brian Rago's co-authors include Xiaogang Han, L. Nathan Tumey, Cexiong Fu, Tracey Clark, Frank Barletta, Cong Wei, Steven Hansel, Ragu Ramanathan, Guodong Zhang and A. David Rodrigues and has published in prestigious journals such as Analytical Chemistry, Journal of Controlled Release and Clinical Pharmacology & Therapeutics.

In The Last Decade

Brian Rago

20 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Rago United States 15 315 208 159 70 67 20 525
Yoshiyuki Yabe Japan 11 184 0.6× 95 0.5× 270 1.7× 100 1.4× 47 0.7× 18 638
Mauricio Leal United States 12 255 0.8× 222 1.1× 169 1.1× 71 1.0× 13 0.2× 26 572
Cathie Xiang United States 13 118 0.4× 68 0.3× 184 1.2× 152 2.2× 42 0.6× 17 572
Yasushi Fujioka Japan 14 188 0.6× 278 1.3× 106 0.7× 50 0.7× 18 0.3× 27 536
Jean-Claude Duché France 14 226 0.7× 89 0.4× 472 3.0× 63 0.9× 24 0.4× 21 711
Du‐Shieng Chien United States 15 148 0.5× 91 0.4× 314 2.0× 34 0.5× 17 0.3× 22 783
R J van Alphen Netherlands 5 535 1.7× 49 0.2× 549 3.5× 91 1.3× 48 0.7× 6 860
Martin Wurm Austria 12 233 0.7× 82 0.4× 364 2.3× 187 2.7× 52 0.8× 20 861
Janet S. Macpherson United Kingdom 16 333 1.1× 65 0.3× 385 2.4× 77 1.1× 27 0.4× 30 861

Countries citing papers authored by Brian Rago

Since Specialization
Citations

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

Fields of papers citing papers by Brian Rago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Rago

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

All Works

20 of 20 papers shown
1.
Orozco, Christine C., Mikko Neuvonen, Yi‐An Bi, et al.. (2023). Characterization of Bile Acid Sulfate Conjugates as Substrates of Human Organic Anion Transporting Polypeptides. Molecular Pharmaceutics. 20(6). 3020–3032. 9 indexed citations
2.
3.
Neuvonen, Mikko, Aleksi Tornio, Brian Rago, et al.. (2020). Identification of Glycochenodeoxycholate 3‐O‐Glucuronide and Glycodeoxycholate 3‐O‐Glucuronide as Highly Sensitive and Specific OATP1B1 Biomarkers. Clinical Pharmacology & Therapeutics. 109(3). 646–657. 35 indexed citations
4.
Mori, Daiki, Emi Kimoto, Brian Rago, et al.. (2019). Dose‐Dependent Inhibition of OATP1B by Rifampicin in Healthy Volunteers: Comprehensive Evaluation of Candidate Biomarkers and OATP1B Probe Drugs. Clinical Pharmacology & Therapeutics. 107(4). 1004–1013. 77 indexed citations
5.
Rago, Brian, et al.. (2018). A Multiplex HRMS Assay for Quantifying Selected Human Plasma Bile Acids as Candidate OATP Biomarkers. Bioanalysis. 10(9). 645–657. 17 indexed citations
6.
Orozco, Christine C., Yi‐An Bi, Sumathy Mathialagan, et al.. (2018). Characterization of bile acid sulfate conjugates as substrates of human organic anion-transporting polypeptides. Drug Metabolism and Pharmacokinetics. 33(1). S93–S93. 2 indexed citations
7.
Ratnayake, Anokha S., Liping Chang, L. Nathan Tumey, et al.. (2018). Natural Product Bis-Intercalator Depsipeptides as a New Class of Payloads for Antibody–Drug Conjugates. Bioconjugate Chemistry. 30(1). 200–209. 15 indexed citations
8.
Tumey, L. Nathan, Fengping Li, Brian Rago, et al.. (2017). Site Selection: a Case Study in the Identification of Optimal Cysteine Engineered Antibody Drug Conjugates. The AAPS Journal. 19(4). 1123–1135. 48 indexed citations
9.
Rago, Brian, L. Nathan Tumey, Cong Wei, et al.. (2017). Quantitative Conjugated Payload Measurement Using Enzymatic Release of Antibody–Drug Conjugate with Cleavable Linker. Bioconjugate Chemistry. 28(2). 620–626. 26 indexed citations
10.
Giddabasappa, Anand, Vijay Gupta, Parul Gupta, et al.. (2016). Biodistribution and Targeting of Anti-5T4 Antibody–Drug Conjugate Using Fluorescence Molecular Tomography. Molecular Cancer Therapeutics. 15(10). 2530–2540. 26 indexed citations
11.
Wei, Cong, Guodong Zhang, Tracey Clark, et al.. (2016). Where Did the Linker-Payload Go? A Quantitative Investigation on the Destination of the Released Linker-Payload from an Antibody-Drug Conjugate with a Maleimide Linker in Plasma. Analytical Chemistry. 88(9). 4979–4986. 68 indexed citations
12.
Rago, Brian, Tracey Clark, Lindsay King, et al.. (2016). Calculated Conjugated Payload from Immunoassay and LC–MS Intact Protein Analysis Measurements of Antibody-Drug Conjugate. Bioanalysis. 8(21). 2205–2217. 21 indexed citations
13.
Rago, Brian, et al.. (2016). Outsource-Ability of High-Resolution MS-Based DMPK Assays. Bioanalysis. 8(16). 1641–1644. 3 indexed citations
14.
15.
Leal, Mauricio, Xiaogang Han, Yanhua Zhang, et al.. (2015). Preclinical Development of an anti-5T4 Antibody–Drug Conjugate: Pharmacokinetics in Mice, Rats, and NHP and Tumor/Tissue Distribution in Mice. Bioconjugate Chemistry. 26(11). 2223–2232. 18 indexed citations
16.
Tumey, L. Nathan, Brian Rago, & Xiaogang Han. (2015). In Vivo Biotransformations of Antibody–Drug Conjugates. Bioanalysis. 7(13). 1649–1664. 29 indexed citations
17.
Lü, Ying, Manthena V. S. Varma, Charles J. Rotter, et al.. (2013). Development and evaluation of novel solid nanodispersion system for oral delivery of poorly water-soluble drugs. Journal of Controlled Release. 169(1-2). 150–161. 52 indexed citations
18.
19.
Rago, Brian, Jianhua Liu, Beijing Tan, & Christopher L. Holliman. (2011). Application of the dried spot sampling technique for rat cerebrospinal fluid sample collection and analysis. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 1201–1207. 14 indexed citations
20.
Rotter, Charles J., Brian Rago, Curt Christoffersen, et al.. (2009). Effect of chitosan glutamate, carbomer 974P, and EDTA on the in vitro Caco-2 permeability and oral pharmacokinetic profile of acyclovir in rats. Drug Development and Industrial Pharmacy. 35(9). 1082–1091. 18 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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