Peter Kuehl

5.4k total citations · 1 hit paper
8 papers, 2.4k citations indexed

About

Peter Kuehl is a scholar working on Molecular Biology, Oncology and Pharmacy. According to data from OpenAlex, Peter Kuehl has authored 8 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pharmacy. Recurrent topics in Peter Kuehl's work include Child Nutrition and Feeding Issues (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Infant Health and Development (2 papers). Peter Kuehl is often cited by papers focused on Child Nutrition and Feeding Issues (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Infant Health and Development (2 papers). Peter Kuehl collaborates with scholars based in United States, France and United Kingdom. Peter Kuehl's co-authors include Mark S. Boguski, Steven Wrighton, Jiong Zhang, Kazuto Yasuda, Ann K. Daly, Stephen C. Strom, Cynthia Brimer, Mary V. Relling, Erin G. Schuetz and Kenneth E. Thummel and has published in prestigious journals such as Nature Genetics, Genome Research and Human Molecular Genetics.

In The Last Decade

Peter Kuehl

8 papers receiving 2.4k citations

Hit Papers

Sequence diversity in CYP3A promoters and characterizatio... 2001 2026 2009 2017 2001 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Kuehl United States 6 1.3k 1.0k 613 487 420 8 2.4k
Mahfoud Assem United States 22 1.5k 1.2× 1.4k 1.4× 722 1.2× 851 1.7× 399 0.9× 33 3.2k
Vishal Lamba United States 20 1.0k 0.8× 831 0.8× 431 0.7× 531 1.1× 332 0.8× 30 2.2k
Laure Elens Belgium 33 867 0.7× 891 0.9× 1.3k 2.2× 299 0.6× 1.4k 3.3× 88 3.0k
Paul B. Watkins United States 15 956 0.7× 1.0k 1.0× 531 0.9× 227 0.5× 207 0.5× 20 1.7k
Ann M. Moyer United States 24 680 0.5× 311 0.3× 429 0.7× 541 1.1× 65 0.2× 109 2.1k
Susan J. Johns United States 23 324 0.2× 1.4k 1.4× 656 1.1× 733 1.5× 85 0.2× 33 2.3k
Mayumi Saeki Japan 23 483 0.4× 722 0.7× 413 0.7× 730 1.5× 46 0.1× 58 1.7k
Renzo Wolbold Germany 8 1.2k 0.9× 763 0.8× 433 0.7× 274 0.6× 248 0.6× 9 1.8k
Thomas Gerloff Germany 23 1.0k 0.8× 3.2k 3.2× 1.8k 3.0× 712 1.5× 192 0.5× 31 4.3k
Kari M. Morrissey United States 18 334 0.3× 777 0.8× 336 0.5× 512 1.1× 30 0.1× 25 1.5k

Countries citing papers authored by Peter Kuehl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kuehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kuehl

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kuehl. A scholar is included among the top collaborators of Peter Kuehl 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 Peter Kuehl. Peter Kuehl 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.
Salunke, Smita, Anjali Agrawal, Anthony J Nunn, et al.. (2024). Selecting appropriate excipients for paediatric dosage form − Paediatric excipients risk assessment (PERA) framework – Part 1. European Journal of Pharmaceutics and Biopharmaceutics. 203. 114458–114458. 1 indexed citations
2.
Kuehl, Peter, et al.. (2023). Paediatric solid oral dosage forms for combination products: Improving in vitro swallowability of minitablets using binary mixtures with pellets. European Journal of Pharmaceutical Sciences. 187. 106471–106471. 3 indexed citations
3.
Kuehl, Peter, et al.. (2022). A novel soft robotic pediatric in vitro swallowing device to gain insights into the swallowability of mini-tablets. International Journal of Pharmaceutics. 629. 122369–122369. 7 indexed citations
4.
Mori, Yuriko, Jing Yin, Asma Rashid, et al.. (2001). Instabilotyping: comprehensive identification of frameshift mutations caused by coding region microsatellite instability.. PubMed. 61(16). 6046–9. 125 indexed citations
5.
Zhang, Jiong, Peter Kuehl, E D Green, et al.. (2001). The human pregnane X receptor: genomic structure and identification and functional characterization of natural allelic variants. Pharmacogenetics. 11(7). 555–572. 246 indexed citations
6.
Kuehl, Peter, Jiong Zhang, Jatinder K. Lamba, et al.. (2001). Sequence diversity in CYP3A promoters and characterization of the genetic basis of polymorphic CYP3A5 expression. Nature Genetics. 27(4). 383–391. 1753 indexed citations breakdown →
7.
Kuehl, Peter, Jane M. Weisemann, Jeffrey W. Touchman, Eric D. Green, & Mark S. Boguski. (1999). An Effective Approach for Analyzing “Prefinished” Genomic Sequence Data. Genome Research. 9(2). 189–194. 6 indexed citations
8.
Sahoo, Trilochan, Eric W. Johnson, James W. Thomas, et al.. (1999). Mutations in the Gene Encoding KRIT1, a Krev-1/rap1a Binding Protein, Cause Cerebral Cavernous Malformations (CCM1). Human Molecular Genetics. 8(12). 2325–2333. 288 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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