Benjamin A. Kandel

440 total citations
8 papers, 353 citations indexed

About

Benjamin A. Kandel is a scholar working on Molecular Biology, Pharmacology and Surgery. According to data from OpenAlex, Benjamin A. Kandel has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Surgery. Recurrent topics in Benjamin A. Kandel's work include Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Benjamin A. Kandel is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Benjamin A. Kandel collaborates with scholars based in Germany, Austria and United States. Benjamin A. Kandel's co-authors include Ulrich M. Zanger, Kathrin Klein, Maria Thomas, Oliver Burk, Matthias Schwab, Jessica K. Rieger, Georg Damm, Petra Rümmele, Michael Trauner and Andreas K. Nüssler and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Benjamin A. Kandel

8 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin A. Kandel Germany	7	158	145	113	54	54	8	353
Xiaojuan Chai China	8	156 1.0×	115 0.8×	92 0.8×	29 0.5×	75 1.4×	12	349
Matthew Pratt–Hyatt United States	13	79 0.5×	323 2.2×	134 1.2×	102 1.9×	52 1.0×	13	562
Helen Hammer Germany	11	162 1.0×	154 1.1×	147 1.3×	39 0.7×	19 0.4×	30	469
Kaori Nakamoto United States	5	160 1.0×	122 0.8×	97 0.9×	38 0.7×	23 0.4×	5	359
Takuomi Hosaka Japan	11	115 0.7×	129 0.9×	56 0.5×	33 0.6×	35 0.6×	32	331
Edward J. Carlini United States	8	147 0.9×	172 1.2×	103 0.9×	13 0.2×	35 0.6×	12	373
N Freiberg Germany	9	82 0.5×	165 1.1×	60 0.5×	71 1.3×	26 0.5×	10	386
F.M. Farin United States	12	164 1.0×	153 1.1×	68 0.6×	18 0.3×	25 0.5×	13	446
Sui‐Lin Mo Australia	9	191 1.2×	152 1.0×	101 0.9×	17 0.3×	17 0.3×	12	406
Kah Poh Tan Canada	6	51 0.3×	143 1.0×	117 1.0×	27 0.5×	35 0.6×	7	358

Countries citing papers authored by Benjamin A. Kandel

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin A. Kandel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin A. Kandel. 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 Benjamin A. Kandel. The network helps show where Benjamin A. Kandel may publish in the future.

Co-authorship network of co-authors of Benjamin A. Kandel

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

All Works

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8 of 8 papers shown

Kandel, Benjamin A., Maria Thomas, Stefan Winter, et al.. (2016). Genomewide comparison of the inducible transcriptomes of nuclear receptors CAR, PXR and PPARα in primary human hepatocytes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(9). 1218–1227. 62 indexed citations

Hofmann, Falko, et al.. (2015). Virtual pathway explorer (viPEr) and pathway enrichment analysis tool (PEANuT): creating and analyzing focus networks to identify cross-talk between molecules and pathways. BMC Genomics. 16(1). 790–790. 5 indexed citations

Rümmele, Petra, Kathrin Klein, Benjamin A. Kandel, et al.. (2014). Pregnane X receptor activation and silencing promote steatosis of human hepatic cells by distinct lipogenic mechanisms. Archives of Toxicology. 89(11). 2089–2103. 90 indexed citations

Thomas, Maria, Jessica K. Rieger, Benjamin A. Kandel, Kathrin Klein, & Ulrich M. Zanger. (2014). Targeting Nuclear Receptors with Lentivirus-Delivered Small RNAs in Primary Human Hepatocytes. Cellular Physiology and Biochemistry. 33(6). 2003–2013. 8 indexed citations

Thomas, Maria, Oliver Burk, Benjamin A. Kandel, et al.. (2013). Direct Transcriptional Regulation of Human Hepatic Cytochrome P450 3A4 (CYP3A4) by Peroxisome Proliferator–Activated Receptor Alpha (PPARα). Molecular Pharmacology. 83(3). 709–718. 73 indexed citations

Zanger, Ulrich M., Kathrin Klein, Maria Thomas, et al.. (2013). Genetics, Epigenetics, and Regulation of Drug-Metabolizing Cytochrome P450 Enzymes. Clinical Pharmacology & Therapeutics. 95(3). 258–261. 63 indexed citations

Kandel, Benjamin A., Sean Ekins, Kristina Leuner, et al.. (2013). No Activation of Human Pregnane X Receptor by Hyperforin-Related Phloroglucinols. Journal of Pharmacology and Experimental Therapeutics. 348(3). 393–400. 14 indexed citations

Nägele, Thomas, et al.. (2010). A systems biology approach for the analysis of carbohydrate dynamics during acclimation to low temperature in Arabidopsis thaliana. FEBS Journal. 278(3). 506–518. 38 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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