Séverine Kunz
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Developmental Neuroscience top 10%
Papers in
-
- Mitochondrial Function and Pathology 5
- ATP Synthase and ATPases Research 3
- Muscle Physiology and Disorders 3
- Ion Transport and Channel Regulation 2
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
-
- Caveolin-1 and cellular processes 4
- Co-authors
- Oliver Daumke (7 shared papers)Carmen Birchmeier (2 shared papers)Simone Spuler (4 shared papers)Sascha Sauer (2 shared papers)Mina Gouti (2 shared papers)Ramón Vidal (2 shared papers)Cornelius Fischer (1 shared paper)Pierre-Louis Ruffault (1 shared paper)
- Journals
- Nature Communications (3 papers)PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)Hypertension (1 paper)Neurology (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Séverine Kunz
25 papers receiving 841 citations
Peers
Comparison fields: 5 of 84
- Clinical Biochemistry 82
- Developmental Neuroscience 41
- Molecular Biology 561
- Cell Biology 117
- Sensory Systems 33
Countries citing papers authored by Séverine Kunz
This map shows the geographic impact of Séverine Kunz'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 Séverine Kunz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Kunz more than expected).
Fields of papers citing papers by Séverine Kunz
This network shows the impact of papers produced by Séverine Kunz. 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 Séverine Kunz. The network helps show where Séverine Kunz may publish in the future.
Co-authors
The 25 scholars most cited alongside Séverine Kunz, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 235 | |
| 2 | 2020 | 137 | |
| 3 | 2019 | 93 | |
| 4 | 2017 | 83 | |
| 5 | 2020 | 44 | |
| 6 | 2017 | 35 | |
| 7 | 2017 | 29 | |
| 8 | 2022 | 29 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2019 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2025 | 3 |
About Séverine Kunz
Séverine Kunz is a scholar working on Molecular Biology, Cell Biology, Surgery, Physiology and Genetics, having authored 26 papers that have together received 847 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Caveolin-1 and cellular processes (4 papers), ATP Synthase and ATPases Research (3 papers), Muscle Physiology and Disorders (3 papers), Ion Transport and Channel Regulation (2 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Clinical Biochemistry (82 citations), Developmental Neuroscience (41 citations), Molecular Biology (561 citations), Cell Biology (117 citations) and Sensory Systems (33 citations). Séverine Kunz has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Oliver Daumke, Carmen Birchmeier, Simone Spuler, Sascha Sauer, Mina Gouti, Ramón Vidal, Cornelius Fischer, Pierre-Louis Ruffault, Hauke Lilie and Manuel Hessenberger. Their work appears in journals such as Nature Communications, PLoS ONE, Proceedings of the National Academy of Sciences, Hypertension and Neurology.
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.