Frank Edenhofer
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
Papers in
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- Neurogenesis and neuroplasticity mechanisms 12
-
- Pluripotent Stem Cells Research 44
- CRISPR and Genetic Engineering 34
- RNA Interference and Gene Delivery 22
- Prion Diseases and Protein Misfolding 6
- Advanced biosensing and bioanalysis techniques 6
- Co-authors
- Christoph PatschSimone HauptMichael PeitzStefan WeißRoman RiegerMarc ThierKlaus RajewskyKurt Pfannkuche
- Journals
- Stem Cell Research (10 papers)Stem Cells (4 papers)Journal of Visualized Experiments (4 papers)The Journal of Immunology (3 papers)Cell stem cell (3 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Frank Edenhofer
95 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 458
- Neurology 522
- Molecular Biology 3.8k
- Aging 57
- Immunology 598
Countries citing papers authored by Frank Edenhofer
This map shows the geographic impact of Frank Edenhofer'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 Frank Edenhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Edenhofer more than expected).
Fields of papers citing papers by Frank Edenhofer
This network shows the impact of papers produced by Frank Edenhofer. 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 Frank Edenhofer. The network helps show where Frank Edenhofer may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Edenhofer, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 23 | |
| 9 | 2019 | 38 | |
| 10 | 2018 | 61 | |
| 11 | 2018 | 33 | |
| 12 | 2017 | 65 | |
| 13 | Identification and characterization of a novel cell penetrating peptide derived from human Oct4 | 2014 | 2 |
| 14 | 2010 | 166 | |
| 15 | 2009 | 32 | |
| 16 | 2009 | 196 | |
| 17 | 2009 | 6 | |
| 18 | 2007 | 103 | |
| 19 | mTOR Is Essential for Growth and Proliferation in Early Mouse Embryos and Embryonic Stem Cells Hit paper breakdown → | 2004 | 494 |
| 20 | 2002 | 275 |
About Frank Edenhofer
Frank Edenhofer is a scholar working on Developmental Neuroscience, Molecular Biology, Neurology, Genetics and Cancer Research, having authored 96 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (44 papers), CRISPR and Genetic Engineering (34 papers), RNA Interference and Gene Delivery (22 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Virus-based gene therapy research (11 papers), 3D Printing in Biomedical Research (6 papers), Prion Diseases and Protein Misfolding (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Developmental Neuroscience (458 citations), Neurology (522 citations), Molecular Biology (3.8k citations), Aging (57 citations) and Immunology (598 citations). Frank Edenhofer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Christoph Patsch, Simone Haupt, Michael Peitz, Stefan Weiß, Roman Rieger, Marc Thier, Klaus Rajewsky, Kurt Pfannkuche, Philipp Wörsdörfer and Kazuyoshi Yonezawa. Their work appears in journals such as Stem Cell Research, Stem Cells, Journal of Visualized Experiments, The Journal of Immunology and Cell stem cell.
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.