Peter Juvan

1.1k total citations
30 papers, 670 citations indexed

About

Peter Juvan is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Peter Juvan has authored 30 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Peter Juvan's work include Cholesterol and Lipid Metabolism (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Peter Juvan is often cited by papers focused on Cholesterol and Lipid Metabolism (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Peter Juvan collaborates with scholars based in Slovenia, United States and France. Peter Juvan's co-authors include Damjana Rozman, Tadeja Režen, Janez Demšar, Blaž Zupan, Gad Shaulsky, Adam Kuspa, Martina Perše, Klementina Fon Tacer, Nancy Van Driessche and Irma Virant‐Klun and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Peter Juvan

29 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Juvan Slovenia 16 355 90 85 73 71 30 670
Sophia Lavrentiadou Greece 15 259 0.7× 58 0.6× 40 0.5× 44 0.6× 19 0.3× 37 555
Yuan Cortez United States 14 332 0.9× 50 0.6× 73 0.9× 133 1.8× 21 0.3× 20 661
Jeffrey S. Moffit United States 11 218 0.6× 59 0.7× 33 0.4× 38 0.5× 47 0.7× 16 451
Hitoshi Funabashi Japan 12 279 0.8× 28 0.3× 53 0.6× 44 0.6× 84 1.2× 28 588
Zelin Zhang China 15 261 0.7× 66 0.7× 25 0.3× 63 0.9× 21 0.3× 53 730
Stan Gaj Netherlands 14 497 1.4× 42 0.5× 86 1.0× 210 2.9× 93 1.3× 17 855
Mi-Sook Dong South Korea 10 452 1.3× 35 0.4× 45 0.5× 69 0.9× 32 0.5× 10 690
Marie‐Pier Scott‐Boyer Canada 13 569 1.6× 33 0.4× 161 1.9× 94 1.3× 27 0.4× 42 918

Countries citing papers authored by Peter Juvan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Juvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Juvan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Juvan. A scholar is included among the top collaborators of Peter Juvan 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 Juvan. Peter Juvan 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.
Maver, Aleš, Peter Juvan, Jelena Drulović, et al.. (2025). Increased burden of rare variants in GWAS associated genes in familial multiple sclerosis. Scientific Reports. 15(1). 21200–21200. 1 indexed citations
2.
3.
Körner, Christiane, Daniela Volke, Peter Juvan, et al.. (2021). Sex-dependent dynamics of metabolism in primary mouse hepatocytes. Archives of Toxicology. 95(9). 3001–3013. 13 indexed citations
4.
Lorbek, Gregor, Martina Perše, Jera Jeruc, et al.. (2017). Disrupting Hepatocyte Cyp51 from Cholesterol Synthesis Leads to Progressive Liver Injury in the Developing Mouse and Decreases RORC Signalling. Scientific Reports. 7(1). 40775–40775. 24 indexed citations
5.
Košir, Rok, et al.. (2016). Mouse genotypes drive the liver and adrenal gland clocks. Scientific Reports. 6(1). 31955–31955. 5 indexed citations
6.
Lewińska, Monika, Peter Juvan, Martina Perše, et al.. (2014). Hidden Disease Susceptibility and Sexual Dimorphism in the Heterozygous Knockout of Cyp51 from Cholesterol Synthesis. PLoS ONE. 9(11). e112787–e112787. 8 indexed citations
7.
Volk, Marija, Aleš Maver, Luca Lovrečić, Peter Juvan, & Borut Peterlin. (2013). Expression Signature as a Biomarker for Prenatal Diagnosis of Trisomy 21. PLoS ONE. 8(9). e74184–e74184. 15 indexed citations
8.
Bokal, Eda Vrtačnik, et al.. (2013). Differences in cumulus cells gene expression between modified natural and stimulated in vitro fertilization cycles. Journal of Assisted Reproduction and Genetics. 31(1). 79–88. 15 indexed citations
9.
Tacer, Klementina Fon, et al.. (2012). Cumulus Cells Gene Expression Profiling in Terms of Oocyte Maturity in Controlled Ovarian Hyperstimulation Using GnRH Agonist or GnRH Antagonist. PLoS ONE. 7(10). e47106–e47106. 45 indexed citations
10.
Košir, Rok, Peter Juvan, Martina Perše, et al.. (2012). Novel Insights into the Downstream Pathways and Targets Controlled by Transcription Factors CREM in the Testis. PLoS ONE. 7(2). e31798–e31798. 39 indexed citations
11.
Juvan, Peter, et al.. (2012). Contrasting effect of recombinant human erythropoietin on breast cancer cell response to cisplatin induced cytotoxicity. Radiology and Oncology. 46(3). 213–25. 7 indexed citations
12.
Režen, Tadeja, Peter Juvan, Damjana Rozman, et al.. (2011). Obesity resistant mechanisms in the Lean polygenic mouse model as indicated by liver transcriptome and expression of selected genes in skeletal muscle. BMC Genomics. 12(1). 96–96. 15 indexed citations
13.
Juvan, Peter, et al.. (2011). The human primary hepatocyte transcriptome reveals novel insights into atorvastatin and rosuvastatin action. Pharmacogenetics and Genomics. 21(11). 741–750. 28 indexed citations
14.
Conklin, Daniel J., Russell A. Prough, Peter Juvan, et al.. (2011). Acrolein‐induced dyslipidemia and acute‐phase response are independent of HMG‐CoA reductase. Molecular Nutrition & Food Research. 55(9). 1411–1422. 18 indexed citations
15.
Conklin, Daniel J., Oleg A. Barski, Jean‐François Lesgards, et al.. (2009). Acrolein consumption induces systemic dyslipidemia and lipoprotein modification. Toxicology and Applied Pharmacology. 243(1). 1–12. 79 indexed citations
16.
Režen, Tadeja, Peter Juvan, Klementina Fon Tacer, et al.. (2008). The Sterolgene v0 cDNA microarray: a systemic approach to studies of cholesterol homeostasis and drug metabolism. BMC Genomics. 9(1). 76–76. 16 indexed citations
17.
Juvan, Peter, Janez Demšar, Gad Shaulsky, & Blaž Zupan. (2005). GenePath: from mutations to genetic networks and back. Nucleic Acids Research. 33(Web Server). W749–W752. 6 indexed citations
18.
Driessche, Nancy Van, Janez Demšar, Peter Juvan, et al.. (2005). Epistasis analysis with global transcriptional phenotypes. Nature Genetics. 37(5). 471–477. 82 indexed citations
19.
Zupan, Blaž, Janez Demšar, Ivan Bratko, et al.. (2003). GenePath: a system for automated construction of geneticnetworks from mutant data. Bioinformatics. 19(3). 383–389. 38 indexed citations
20.
Zupan, Blaž, Ivan Bratko, Janez Demšar, et al.. (2003). GenePath: a system for inference of genetic networks and proposal of genetic experiments. Artificial Intelligence in Medicine. 29(1-2). 107–130. 13 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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