Steffen Fehrmann
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 10%
Papers in
-
- Fungal and yeast genetics research 4
- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics 2
- Co-authors
- Gaël Yvert (5 shared papers)Gilles Charvin (2 shared papers)C Paoletti (2 shared papers)Muniyandi Nagarajan (2 shared papers)Jean François (1 shared paper)Hugo Aguilaniu (1 shared paper)Andrei Ungureanu (1 shared paper)Youlian Goulev (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Molecular Systems Biology (1 paper)Bioresource Technology (1 paper)Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Steffen Fehrmann
12 papers receiving 438 citations
Peers
Comparison fields: 5 of 61
- Aging 73
- Biophysics 30
- Molecular Biology 314
- Genetics 104
- Biotechnology 32
Countries citing papers authored by Steffen Fehrmann
This map shows the geographic impact of Steffen Fehrmann'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 Steffen Fehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Fehrmann more than expected).
Fields of papers citing papers by Steffen Fehrmann
This network shows the impact of papers produced by Steffen Fehrmann. 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 Steffen Fehrmann. The network helps show where Steffen Fehrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Steffen Fehrmann, 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 | 2008 | 142 | |
| 2 | 2013 | 85 | |
| 3 | 2013 | 55 | |
| 4 | 2006 | 44 | |
| 5 | 2015 | 42 | |
| 6 | 2013 | 29 | |
| 7 | 2021 | 13 | |
| 8 | 2010 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2007 | 7 | |
| 11 | 2011 | 1 | |
| 12 | 2015 | 1 |
About Steffen Fehrmann
Steffen Fehrmann is a scholar working on Molecular Biology, Genetics, Biotechnology, Aging and Plant Science, having authored 12 papers that have together received 443 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Gene Regulatory Network Analysis (3 papers), Microbial Inactivation Methods (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Molecular Biology Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Aging (73 citations), Biophysics (30 citations), Molecular Biology (314 citations), Genetics (104 citations) and Biotechnology (32 citations). Steffen Fehrmann has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Gaël Yvert, Gilles Charvin, C Paoletti, Muniyandi Nagarajan, Jean François, Hugo Aguilaniu, Andrei Ungureanu, Youlian Goulev, Shinsuke Ohnuki and Satoru Nogami. Their work appears in journals such as PLoS Genetics, Molecular Systems Biology, Bioresource Technology, Nature Communications and Biochemical and Biophysical Research Communications.
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.