Gernot Wolf
Impact in
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- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
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- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 4
- Genetics 7
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Todd S. Macfarlan (10 shared papers)David Greenberg (1 shared paper)Ming‐an Sun (6 shared papers)Peng Yang (3 shared papers)Finn Skou Pedersen (3 shared papers)Anders Lade Nielsen (2 shared papers)Andreia Silva (1 shared paper)Ernst‐Martin Füchtbauer (1 shared paper)
- Journals
- SLAS DISCOVERY (2 papers)eLife (2 papers)Surgery (2 papers)Molecular Biology and Evolution (1 paper)Mobile DNA (1 paper)
- Partner nations
- United StatesAustriaDenmark
In The Last Decade
Gernot Wolf
23 papers receiving 645 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 502
- Plant Science 260
- Aging 8
- Genetics 112
- Virology 15
Countries citing papers authored by Gernot Wolf
This map shows the geographic impact of Gernot Wolf'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 Gernot Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gernot Wolf more than expected).
Fields of papers citing papers by Gernot Wolf
This network shows the impact of papers produced by Gernot Wolf. 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 Gernot Wolf. The network helps show where Gernot Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Gernot Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2015 | 87 | |
| 3 | 2020 | 76 | |
| 4 | 2016 | 62 | |
| 5 | 2018 | 54 | |
| 6 | 2017 | 46 | |
| 7 | 2018 | 41 | |
| 8 | 2021 | 30 | |
| 9 | 2008 | 27 | |
| 10 | 2019 | 24 | |
| 11 | 1977 | 18 | |
| 12 | 2013 | 13 | |
| 13 | 2025 | 12 | |
| 14 | 1998 | 10 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2002 | 4 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Gernot Wolf
Gernot Wolf is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Surgery, having authored 23 papers that have together received 652 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (4 papers), Chromosomal and Genetic Variations (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Lymphatic Disorders and Treatments (2 papers). The work is most often cited by research in Molecular Biology (502 citations), Plant Science (260 citations), Aging (8 citations), Genetics (112 citations) and Virology (15 citations). Gernot Wolf has collaborated with scholars based in United States, Austria and Denmark. Frequent co-authors include Todd S. Macfarlan, David Greenberg, Ming‐an Sun, Peng Yang, Finn Skou Pedersen, Anders Lade Nielsen, Andreia Silva, Ernst‐Martin Füchtbauer, Chungoo Park and Warren Wu. Their work appears in journals such as SLAS DISCOVERY, eLife, Surgery, Molecular Biology and Evolution and Mobile DNA.
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.