Peter Juvan
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Effects and risks of endocrine disrupting chemicals
Papers in ⓘ
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- RNA Research and Splicing 4
- Peroxisome Proliferator-Activated Receptors 4
- Microbial Metabolic Engineering and Bioproduction 3
- Surgery 9
- Cholesterol and Lipid Metabolism 9
- Co-authors
- Damjana Rozman (19 shared papers)Tadeja Režen (8 shared papers)Blaž Zupan (4 shared papers)Gad Shaulsky (4 shared papers)Janez Demšar (4 shared papers)Adam Kuspa (3 shared papers)Martina Perše (5 shared papers)Klementina Fon Tacer (3 shared papers)
- Journals
- Scientific Reports (5 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (2 papers)BMC Genomics (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- SloveniaUnited StatesGermany
In The Last Decade
Peter Juvan
29 papers receiving 661 citations
Peers
Comparison fields: 5 of 100
- Reproductive Medicine 58
- Health, Toxicology and Mutagenesis 71
- Molecular Biology 355
- Cancer Research 73
- Pharmacology 37
Countries citing papers authored by Peter Juvan
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
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-authors
The 25 scholars most cited alongside Peter Juvan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 82 | |
| 2 | 2009 | 79 | |
| 3 | 2015 | 46 | |
| 4 | 2012 | 45 | |
| 5 | 2012 | 39 | |
| 6 | 2003 | 38 | |
| 7 | 2014 | 36 | |
| 8 | 2015 | 32 | |
| 9 | 2011 | 28 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 24 | |
| 12 | 2009 | 24 | |
| 13 | 2011 | 18 | |
| 14 | 2008 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2003 | 13 | |
| 20 | 2020 | 12 |
About Peter Juvan
Peter Juvan is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Genetics, having authored 30 papers that have together received 670 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), RNA Research and Splicing (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Lipids, and Metabolism (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Sperm and Testicular Function (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Reproductive Medicine (58 citations), Health, Toxicology and Mutagenesis (71 citations), Molecular Biology (355 citations), Cancer Research (73 citations) and Pharmacology (37 citations). Peter Juvan has collaborated with scholars based in Slovenia, United States and Germany. Frequent co-authors include Damjana Rozman, Tadeja Režen, Blaž Zupan, Gad Shaulsky, Janez Demšar, Adam Kuspa, Martina Perše, Klementina Fon Tacer, Irma Virant‐Klun and Eda Vrtačnik Bokal. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Molecular Sciences, BMC Genomics and Artificial Intelligence in Medicine.
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.