Christopher Rowbottom

438 total citations
9 papers, 346 citations indexed

About

Christopher Rowbottom is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Christopher Rowbottom has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Molecular Biology. Recurrent topics in Christopher Rowbottom's work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Amino Acid Enzymes and Metabolism (1 paper). Christopher Rowbottom is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Amino Acid Enzymes and Metabolism (1 paper). Christopher Rowbottom collaborates with scholars based in United States, China and Japan. Christopher Rowbottom's co-authors include Guangqing Xiao, Laurent Salphati, Xiaoyan Chu, Yurong Lai, W. Griffith Humphreys, Jashvant D. Unadkat, Cornelis E. C. A. Hop, Sarah Billington, Bhagwat Prasad and Raymond Evers and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecular Pharmacology and Pharmaceutical Research.

In The Last Decade

Christopher Rowbottom

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Rowbottom United States 9 155 95 74 61 47 9 346
Bas Thijssen Netherlands 12 205 1.3× 138 1.5× 29 0.4× 37 0.6× 41 0.9× 21 461
Lu Gan United States 9 229 1.5× 93 1.0× 64 0.9× 71 1.2× 54 1.1× 27 385
David F. Gebhard United States 8 148 1.0× 226 2.4× 46 0.6× 67 1.1× 68 1.4× 12 544
Max Sauter Germany 12 129 0.8× 210 2.2× 69 0.9× 21 0.3× 38 0.8× 40 489
Fabienne Z. Gaugaz Sweden 7 157 1.0× 212 2.2× 25 0.3× 63 1.0× 42 0.9× 13 471
Belén Valenzuela Spain 14 189 1.2× 133 1.4× 45 0.6× 21 0.3× 14 0.3× 43 440
Lingmin Yuan China 12 178 1.1× 319 3.4× 35 0.5× 39 0.6× 36 0.8× 20 453
Brian Rago United States 15 315 2.0× 159 1.7× 59 0.8× 67 1.1× 20 0.4× 20 525
Andrew P. Beelen United States 12 235 1.5× 161 1.7× 25 0.3× 67 1.1× 28 0.6× 35 553
Lisa Hettrick United States 8 62 0.4× 164 1.7× 51 0.7× 30 0.5× 20 0.4× 9 462

Countries citing papers authored by Christopher Rowbottom

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Rowbottom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Rowbottom

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

All Works

9 of 9 papers shown
1.
2.
Kumar, Vineet, Kazuya Ishida, Laurent Salphati, et al.. (2020). Prediction of Transporter-Mediated Rosuvastatin Hepatic Uptake Clearance and Drug Interaction in Humans Using Proteomics-Informed REF Approach. Drug Metabolism and Disposition. 49(2). 159–168. 27 indexed citations
3.
Billington, Sarah, Laurent Salphati, Cornelis E. C. A. Hop, et al.. (2019). Interindividual and Regional Variability in Drug Transporter Abundance at the Human Blood–Brain Barrier Measured by Quantitative Targeted Proteomics. Clinical Pharmacology & Therapeutics. 106(1). 228–237. 60 indexed citations
4.
Xiao, Guangqing, et al.. (2018). Fampridine is a Substrate and Inhibitor of Human OCT2, but not of Human MATE1, or MATE2K. Pharmaceutical Research. 35(8). 159–159. 9 indexed citations
5.
Billington, Sarah, Adrian S. Ray, Laurent Salphati, et al.. (2017). Transporter Expression in Noncancerous and Cancerous Liver Tissue from Donors with Hepatocellular Carcinoma and Chronic Hepatitis C Infection Quantified by LC-MS/MS Proteomics. Drug Metabolism and Disposition. 46(2). 189–196. 51 indexed citations
6.
Ferraris, Dana, Bridget Duvall, Greg Delahanty, et al.. (2014). Design, Synthesis, and Pharmacological Evaluation of Fluorinated Tetrahydrouridine Derivatives as Inhibitors of Cytidine Deaminase. Journal of Medicinal Chemistry. 57(6). 2582–2588. 45 indexed citations
7.
Lamphier, Marc S., Wanjun Zheng, Eicke Latz, et al.. (2013). Novel Small Molecule Inhibitors of TLR7 and TLR9: Mechanism of Action and Efficacy In Vivo. Molecular Pharmacology. 85(3). 429–440. 107 indexed citations
8.
Schuck, Edgar, et al.. (2011). Pharmacokinetic characterization of a natural product–inspired novel MEK1 inhibitor E6201 in preclinical species. Cancer Chemotherapy and Pharmacology. 69(1). 229–237. 10 indexed citations
9.

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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