Marc Ehrlich
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 7
- Prion Diseases and Protein Misfolding 2
- CRISPR and Genetic Engineering 2
- Connexins and lens biology 1
-
- Neurogenesis and neuroplasticity mechanisms 6
- Co-authors
- Tanja Kuhlmann (10 shared papers)Gunnar Hargus (6 shared papers)Hans R. Schöler (6 shared papers)Holm Zaehres (6 shared papers)Jared Sterneckert (5 shared papers)Laura Starost (3 shared papers)Albrecht Röpke (3 shared papers)Jack P. Antel (2 shared papers)
- Journals
- Glia (2 papers)Acta Neuropathologica (2 papers)Stem Cell Research (2 papers)Science Translational Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Marc Ehrlich
13 papers receiving 680 citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 296
- Neurology 198
- Cellular and Molecular Neuroscience 153
- Aging 11
- Molecular Biology 411
Countries citing papers authored by Marc Ehrlich
This map shows the geographic impact of Marc Ehrlich'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 Marc Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Ehrlich more than expected).
Fields of papers citing papers by Marc Ehrlich
This network shows the impact of papers produced by Marc Ehrlich. 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 Marc Ehrlich. The network helps show where Marc Ehrlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Ehrlich, 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 | 2017 | 190 | |
| 2 | 2017 | 148 | |
| 3 | 2017 | 70 | |
| 4 | 2015 | 69 | |
| 5 | 2020 | 59 | |
| 6 | 2014 | 39 | |
| 7 | 2013 | 39 | |
| 8 | 2015 | 33 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2024 | 3 |
About Marc Ehrlich
Marc Ehrlich is a scholar working on Molecular Biology, Developmental Neuroscience, Neurology, Physiology and Genetics, having authored 13 papers that have together received 684 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), MicroRNA in disease regulation (2 papers), Alzheimer's disease research and treatments (2 papers), Prion Diseases and Protein Misfolding (2 papers), CRISPR and Genetic Engineering (2 papers) and Connexins and lens biology (1 paper). The work is most often cited by research in Developmental Neuroscience (296 citations), Neurology (198 citations), Cellular and Molecular Neuroscience (153 citations), Aging (11 citations) and Molecular Biology (411 citations). Marc Ehrlich has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Tanja Kuhlmann, Gunnar Hargus, Hans R. Schöler, Holm Zaehres, Jared Sterneckert, Laura Starost, Albrecht Röpke, Jack P. Antel, Kee-Pyo Kim and Marcos J. Araúzo‐Bravo. Their work appears in journals such as Glia, Acta Neuropathologica, Stem Cell Research, Science Translational Medicine and Scientific Reports.
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.