Robin Ketteler
Impact in
- Aging top 5%
- Physiology top 5%
Papers in
-
- CRISPR and Genetic Engineering 15
- Pluripotent Stem Cells Research 5
- RNA and protein synthesis mechanisms 5
- Receptor Mechanisms and Signaling 4
- Epidemiology 13
- Autophagy in Disease and Therapy 13
- Co-authors
- Alexander Agrotis (8 shared papers)Niccolò Pengo (4 shared papers)János Kriston-Vizi (19 shared papers)Jemima J. Burden (3 shared papers)Ursula Klingmüller (6 shared papers)Christin Luft (13 shared papers)Krisna Prak (5 shared papers)Brian Seed (5 shared papers)
- Journals
- SLAS DISCOVERY (4 papers)Frontiers in Genetics (3 papers)Autophagy (3 papers)Journal of Biological Chemistry (3 papers)Journal of Thrombosis and Haemostasis (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Robin Ketteler
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Aging 49
- Physiology 80
- Virology 77
- Cell Biology 256
- Molecular Biology 1.1k
Countries citing papers authored by Robin Ketteler
This map shows the geographic impact of Robin Ketteler'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 Robin Ketteler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Ketteler more than expected).
Fields of papers citing papers by Robin Ketteler
This network shows the impact of papers produced by Robin Ketteler. 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 Robin Ketteler. The network helps show where Robin Ketteler may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Ketteler, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2017 | 116 | |
| 3 | 2012 | 91 | |
| 4 | 2001 | 89 | |
| 5 | 2014 | 84 | |
| 6 | 2015 | 84 | |
| 7 | 2002 | 83 | |
| 8 | 2000 | 71 | |
| 9 | 2004 | 61 | |
| 10 | 2015 | 58 | |
| 11 | 2020 | 53 | |
| 12 | 2012 | 51 | |
| 13 | 2019 | 47 | |
| 14 | 2018 | 46 | |
| 15 | 2019 | 46 | |
| 16 | 2019 | 45 | |
| 17 | 2021 | 44 | |
| 18 | 2019 | 44 | |
| 19 | 2008 | 42 | |
| 20 | 2015 | 40 |
About Robin Ketteler
Robin Ketteler is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cellular and Molecular Neuroscience and Biophysics, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Autophagy in Disease and Therapy (13 papers), Cell Image Analysis Techniques (7 papers), Neuroscience and Neural Engineering (5 papers), Pluripotent Stem Cells Research (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA and protein synthesis mechanisms (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Aging (49 citations), Physiology (80 citations), Virology (77 citations), Cell Biology (256 citations) and Molecular Biology (1.1k citations). Robin Ketteler has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alexander Agrotis, Niccolò Pengo, János Kriston-Vizi, Jemima J. Burden, Ursula Klingmüller, Christin Luft, Krisna Prak, Brian Seed, Uwe M. Martens and Joe M. Jones. Their work appears in journals such as SLAS DISCOVERY, Frontiers in Genetics, Autophagy, Journal of Biological Chemistry and Journal of Thrombosis and Haemostasis.
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.