Karin Öllinger
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 18
- Lysosomal Storage Disorders Research 8
- Toxicology top 0.5%
- Bioactive Compounds and Antitumor Agents 8
- Cell Biology top 1%
- melanin and skin pigmentation 8
- Geriatrics and Gerontology top 2%
- Molecular Biology top 2%
- Cell death mechanisms and regulation 20
- Lipid Membrane Structure and Behavior 6
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- Autophagy in Disease and Therapy 17
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- Skin Protection and Aging 7
- Co-authors
- Karin RobergKatarina KågedalHanna AppelqvistPetra WästerUno JohanssonUlf T. BrunkAnders BrunmarkCharlotta Dabrosin
- Cited by
- PhysiologyToxicologyCell Biology
In The Last Decade
Karin Öllinger
85 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 548
- Toxicology 314
- Cell Biology 828
- Geriatrics and Gerontology 182
- Molecular Biology 2.8k
Countries citing papers authored by Karin Öllinger
This map shows the geographic impact of Karin Öllinger'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 Karin Öllinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Öllinger more than expected).
Fields of papers citing papers by Karin Öllinger
This network shows the impact of papers produced by Karin Öllinger. 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 Karin Öllinger. The network helps show where Karin Öllinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karin Öllinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 19 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 69 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 19 | |
| 7 | 2017 | 2 | |
| 8 | 2016 | 7 | |
| 9 | 2014 | 3 | |
| 10 | Subdivision according to size is necessary for correct interpretation of data regarding platelet expression of active GPIIb/IIIa and phosphatidylserine | 2013 | 1 |
| 11 | The lysosome: from waste bag to potential therapeutic targetbreakdown → | 2013 | 595 |
| 12 | 2013 | 24 | |
| 13 | 2011 | 95 | |
| 14 | 2006 | 11 | |
| 15 | 2002 | 23 | |
| 16 | 1997 | 22 | |
| 17 | 1997 | 58 | |
| 18 | 1995 | 99 | |
| 19 | 1994 | 30 | |
| 20 | 1994 | 8 |
About Karin Öllinger
Karin Öllinger is a scholar working on Physiology, Toxicology, Cell Biology, Biophysics and Dermatology, having authored 86 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (20 papers), Calcium signaling and nucleotide metabolism (18 papers), Autophagy in Disease and Therapy (17 papers), Bioactive Compounds and Antitumor Agents (8 papers), Lysosomal Storage Disorders Research (8 papers), melanin and skin pigmentation (8 papers), Skin Protection and Aging (7 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Physiology (548 citations), Toxicology (314 citations), Cell Biology (828 citations), Geriatrics and Gerontology (182 citations) and Molecular Biology (2.8k citations). Karin Öllinger has collaborated with scholars based in Sweden, Lithuania and Germany. Frequent co-authors include Karin Roberg, Katarina Kågedal, Hanna Appelqvist, Petra Wäster, Uno Johansson, Ulf T. Brunk, Anders Brunmark, Charlotta Dabrosin, Ann‐Charlotte Johansson and Cathrine Nilsson. Their work appears in journals such as Archives of Biochemistry and Biophysics, Free Radical Biology and Medicine, Free Radical Research, APOPTOSIS and Journal of Investigative Dermatology.
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.