Oliver Popp
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Calpain Protease Function and Regulation
- Aging top 10%
Papers in
-
- Ubiquitin and proteasome pathways 10
- DNA Repair Mechanisms 7
- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 5
- Protein Degradation and Inhibitors 4
- Oncology 13
- PARP inhibition in cancer therapy 7
- Co-authors
- Gunnar Dittmar (17 shared papers)Hemmo Meyer (3 shared papers)Alexander Bürkle (7 shared papers)Kristijan Ramadan (1 shared paper)Roland Bruderer (1 shared paper)Fabio M. Spiga (1 shared paper)Monica Gotta (1 shared paper)Shirley Gil-Parrado (4 shared papers)
- Journals
- Scientific Reports (3 papers)Mechanisms of Ageing and Development (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- GermanyUnited StatesLuxembourg
In The Last Decade
Oliver Popp
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 496
- Aging 34
- Molecular Biology 1.2k
- Physiology 71
- Oncology 396
Countries citing papers authored by Oliver Popp
This map shows the geographic impact of Oliver Popp'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 Oliver Popp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Popp more than expected).
Fields of papers citing papers by Oliver Popp
This network shows the impact of papers produced by Oliver Popp. 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 Oliver Popp. The network helps show where Oliver Popp may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Popp, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 221 | |
| 2 | 2002 | 180 | |
| 3 | 2015 | 163 | |
| 4 | 2013 | 100 | |
| 5 | 2016 | 61 | |
| 6 | 2017 | 60 | |
| 7 | 2014 | 59 | |
| 8 | 2003 | 55 | |
| 9 | 2010 | 55 | |
| 10 | 2021 | 51 | |
| 11 | 2011 | 48 | |
| 12 | 2010 | 46 | |
| 13 | 2022 | 42 | |
| 14 | 2012 | 41 | |
| 15 | 2018 | 36 | |
| 16 | 2015 | 33 | |
| 17 | 2019 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2008 | 29 | |
| 20 | 2010 | 29 |
About Oliver Popp
Oliver Popp is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Immunology, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), DNA Repair Mechanisms (7 papers), PARP inhibition in cancer therapy (7 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (5 papers), RNA and protein synthesis mechanisms (5 papers), Protein Degradation and Inhibitors (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Cell Biology (496 citations), Aging (34 citations), Molecular Biology (1.2k citations), Physiology (71 citations) and Oncology (396 citations). Oliver Popp has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Gunnar Dittmar, Hemmo Meyer, Alexander Bürkle, Kristijan Ramadan, Roland Bruderer, Fabio M. Spiga, Monica Gotta, Shirley Gil-Parrado, Philipp Mertins and Aswin Mangerich. Their work appears in journals such as Scientific Reports, Mechanisms of Ageing and Development, Nature Communications, Cell Reports and Frontiers in Immunology.
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.