Daniel Gebert
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- CRISPR and Genetic Engineering 6
- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
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- Chromosomal and Genetic Variations 7
- Plant Virus Research Studies 3
- Co-authors
- David Rosenkranz (8 shared papers)Charlotte Hewel (3 shared papers)Hans Zischler (4 shared papers)René F. Ketting (1 shared paper)Felipe Karam Teixeira (4 shared papers)Jinghua Gui (2 shared papers)Ruth Lehmann (1 shared paper)Christian Berger (1 shared paper)
- Journals
- The EMBO Journal (1 paper)BMC Genomics (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)Nature Communications (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Gebert
12 papers receiving 331 citations
Peers
Comparison fields: 5 of 50
- Plant Science 182
- Cancer Research 72
- Aging 8
- Molecular Biology 261
- Genetics 42
Countries citing papers authored by Daniel Gebert
This map shows the geographic impact of Daniel Gebert'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 Daniel Gebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gebert more than expected).
Fields of papers citing papers by Daniel Gebert
This network shows the impact of papers produced by Daniel Gebert. 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 Daniel Gebert. The network helps show where Daniel Gebert may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Gebert, 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 | 80 | |
| 2 | 2018 | 56 | |
| 3 | 2021 | 55 | |
| 4 | 2015 | 42 | |
| 5 | 2021 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2017 | 19 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2021 | 0 |
About Daniel Gebert
Daniel Gebert is a scholar working on Molecular Biology, Plant Science, Cancer Research, Cellular and Molecular Neuroscience and Computational Mechanics, having authored 13 papers that have together received 332 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers), Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (3 papers), Plant Virus Research Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Plant Science (182 citations), Cancer Research (72 citations), Aging (8 citations), Molecular Biology (261 citations) and Genetics (42 citations). Daniel Gebert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include David Rosenkranz, Charlotte Hewel, Hans Zischler, René F. Ketting, Felipe Karam Teixeira, Jinghua Gui, Ruth Lehmann, Christian Berger, Noah J. Kessler and Anne C. Ferguson‐Smith. Their work appears in journals such as The EMBO Journal, BMC Genomics, Wiley Interdisciplinary Reviews - RNA, Nature Communications and Genome Biology and Evolution.
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.