Gerhard Schratt
- Cancer Research top 0.2%
- MicroRNA in disease regulation 44
- Cancer-related molecular mechanisms research 12
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 9
- Molecular Biology top 1%
- Circular RNAs in diseases 29
- RNA Research and Splicing 27
- RNA modifications and cancer 10
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- Neuroscience and Neuropharmacology Research 8
- Biological Psychiatry top 5%
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- Genetics and Neurodevelopmental Disorders 8
- Co-authors
- Michael E. GreenbergElizabeth A. NighMary E. SabatiniMichael KieblerRoberto FioreGabriele SiegelAlfred NordheimSilvia Bicker
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Gerhard Schratt
72 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 3.3k
- Developmental Neuroscience 774
- Molecular Biology 4.9k
- Cellular and Molecular Neuroscience 1.1k
- Biological Psychiatry 143
Countries citing papers authored by Gerhard Schratt
This map shows the geographic impact of Gerhard Schratt'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 Gerhard Schratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Schratt more than expected).
Fields of papers citing papers by Gerhard Schratt
This network shows the impact of papers produced by Gerhard Schratt. 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 Gerhard Schratt. The network helps show where Gerhard Schratt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerhard Schratt, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 10 | |
| 12 | 2015 | 39 | |
| 13 | 2014 | 80 | |
| 14 | 2011 | 184 | |
| 15 | 2010 | 391 | |
| 16 | 2009 | 38 | |
| 17 | 2008 | 57 | |
| 18 | 2004 | 134 | |
| 19 | 2001 | 123 | |
| 20 | 1999 | 153 |
About Gerhard Schratt
Gerhard Schratt is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 72 papers that have together received 6.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (44 papers), Circular RNAs in diseases (29 papers), RNA Research and Splicing (27 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (10 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). The work is most often cited by research in Cancer Research (3.3k citations), Developmental Neuroscience (774 citations) and Molecular Biology (4.9k citations). Gerhard Schratt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael E. Greenberg, Elizabeth A. Nigh, Mary E. Sabatini, Michael Kiebler, Roberto Fiore, Gabriele Siegel, Alfred Nordheim, Silvia Bicker, Reuben Saba and Marek Rajman. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.