Péter Lőw
Impact in
- Epidemiology top 1%
- Autophagy in Disease and Therapy
- Aging top 5%
Papers in
- Cell Biology 15
- Microtubule and mitosis dynamics 7
- Cellular transport and secretion 7
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- Ubiquitin and proteasome pathways 10
- Plant biochemistry and biosynthesis 2
- Co-authors
- Mónika Lippai (1 shared paper)Gustav Dallner (6 shared papers)Tamás Csizmadia (8 shared papers)Miklós Sass (8 shared papers)János Kovács (6 shared papers)Judit Ovádi (6 shared papers)Gábor Juhász (4 shared papers)R. John Mayer (6 shared papers)
- Journals
- FEBS Letters (6 papers)International Journal of Molecular Sciences (2 papers)Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- HungarySwedenUnited Kingdom
In The Last Decade
Péter Lőw
57 papers receiving 4.8k citations
Péter Lőw's Hit Papers
Peers
Comparison fields: 5 of 131
- Epidemiology 2.3k
- Aging 53
- Cell Biology 318
- Molecular Biology 1.2k
- Cancer Research 186
Countries citing papers authored by Péter Lőw
This map shows the geographic impact of Péter Lőw'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 Péter Lőw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Lőw more than expected).
Fields of papers citing papers by Péter Lőw
This network shows the impact of papers produced by Péter Lőw. 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 Péter Lőw. The network helps show where Péter Lőw may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Lőw, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy Hit paper breakdown → | 2012 | 3543 |
| 2 | 2014 | 280 | |
| 3 | 2011 | 92 | |
| 4 | 1991 | 61 | |
| 5 | 2013 | 58 | |
| 6 | 2017 | 57 | |
| 7 | 2016 | 46 | |
| 8 | 1992 | 39 | |
| 9 | 2014 | 36 | |
| 10 | 1997 | 35 | |
| 11 | 1991 | 28 | |
| 12 | 2001 | 28 | |
| 13 | 1997 | 27 | |
| 14 | Polyisoprenoid, cholesterol and ubiquinone levels in human hepatocellular carcinomas. | 1989 | 26 |
| 15 | 2012 | 26 | |
| 16 | 1999 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2018 | 25 | |
| 19 | 2003 | 23 | |
| 20 | 2017 | 23 |
About Péter Lőw
Péter Lőw is a scholar working on Cell Biology, Molecular Biology, Biochemistry, Urology and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Microtubule and mitosis dynamics (7 papers), Cellular transport and secretion (7 papers), Autophagy in Disease and Therapy (6 papers), Lipid metabolism and biosynthesis (5 papers), Comparative Animal Anatomy Studies (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Epidemiology (2.3k citations), Aging (53 citations), Cell Biology (318 citations), Molecular Biology (1.2k citations) and Cancer Research (186 citations). Péter Lőw has collaborated with scholars based in Hungary, Sweden and United Kingdom. Frequent co-authors include Mónika Lippai, Gustav Dallner, Tamás Csizmadia, Miklós Sass, János Kovács, Judit Ovádi, Gábor Juhász, R. John Mayer, Kinga Molnár and Péter Lőrincz. Their work appears in journals such as FEBS Letters, International Journal of Molecular Sciences, Biochemistry, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.