Stefan Albert
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
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- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- 14-3-3 protein interactions
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Ubiquitin and proteasome pathways 2
- 14-3-3 protein interactions 2
- Melanoma and MAPK Pathways 2
- Cell death mechanisms and regulation 2
- Co-authors
- Ulf R. Rapp (5 shared papers)Rudolf Götz (2 shared papers)Mirko Hekman (3 shared papers)Stefan Wiese (2 shared papers)Gaby Schneider (3 shared papers)Renate Metz (2 shared papers)Ulrike Rennefahrt (2 shared papers)Andreas Fischer (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)PLoS Computational Biology (1 paper)Developmental Neurobiology (1 paper)Cancer Cell (1 paper)eLife (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Stefan Albert
10 papers receiving 336 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 81
- Molecular Biology 203
- Cell Biology 31
- Cognitive Neuroscience 35
- Ecology, Evolution, Behavior and Systematics 32
Countries citing papers authored by Stefan Albert
This map shows the geographic impact of Stefan Albert'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 Stefan Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Albert more than expected).
Fields of papers citing papers by Stefan Albert
This network shows the impact of papers produced by Stefan Albert. 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 Stefan Albert. The network helps show where Stefan Albert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Albert, 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 | 2019 | 62 | |
| 2 | 2006 | 53 | |
| 3 | 2004 | 48 | |
| 4 | 2009 | 48 | |
| 5 | 2016 | 44 | |
| 6 | 2006 | 40 | |
| 7 | 2003 | 17 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 7 | |
| 10 | 2021 | 7 |
About Stefan Albert
Stefan Albert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Signal Processing and Control and Systems Engineering, having authored 10 papers that have together received 336 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers), Neural dynamics and brain function (2 papers), Melanoma and MAPK Pathways (2 papers), Cell death mechanisms and regulation (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (81 citations), Molecular Biology (203 citations), Cell Biology (31 citations), Cognitive Neuroscience (35 citations) and Ecology, Evolution, Behavior and Systematics (32 citations). Stefan Albert has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Ulf R. Rapp, Rudolf Götz, Mirko Hekman, Stefan Wiese, Gaby Schneider, Renate Metz, Ulrike Rennefahrt, Andreas Fischer, Kornelia Grübel and Sevil Duvarci. Their work appears in journals such as Journal of Biological Chemistry, PLoS Computational Biology, Developmental Neurobiology, Cancer Cell and eLife.
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.