Marc Sohrmann
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms 2
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 3
- Molecular Biology top 1%
- Fungal and yeast genetics research 5
- Lipid Membrane Structure and Behavior 4
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 2
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- Parasitology top 5%
Marc Sohrmann
16 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 2.4k
- Cell Biology 1.3k
- Endocrine and Autonomic Systems 456
- Molecular Biology 4.2k
- Parasitology 137
Countries citing papers authored by Marc Sohrmann
This map shows the geographic impact of Marc Sohrmann'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 Sohrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Sohrmann more than expected).
Fields of papers citing papers by Marc Sohrmann
This network shows the impact of papers produced by Marc Sohrmann. 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 Sohrmann. The network helps show where Marc Sohrmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Sohrmann, 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 | 2020 | 0 | |
| 2 | 2009 | 10 | |
| 3 | 2008 | 68 | |
| 4 | Mature ribosomes are selectively degraded upon starvation by an autophagy pathway requiring the Ubp3p/Bre5p ubiquitin proteasebreakdown → | 2008 | 565 |
| 5 | 2008 | 5 | |
| 6 | 2007 | 15 | |
| 7 | 2007 | 76 | |
| 8 | 2004 | 57 | |
| 9 | 2004 | 3 | |
| 10 | 2004 | 13 | |
| 11 | Systematic functional analysis of the Caenorhabditis elegans genome using RNAibreakdown → | 2003 | 2832 |
| 12 | 2003 | 34 | |
| 13 | Functional genomic analysis of C. elegans chromosome I by systematic RNA interferencebreakdown → | 2000 | 1389 |
| 14 | 2000 | 98 | |
| 15 | 1998 | 165 | |
| 16 | 1997 | 187 | |
| 17 | 1996 | 221 |
About Marc Sohrmann
Marc Sohrmann is a scholar working on Aging, Cell Biology, Molecular Biology, Bioengineering and Microbiology, having authored 17 papers that have together received 5.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Lipid Membrane Structure and Behavior (4 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (2.4k citations), Cell Biology (1.3k citations), Endocrine and Autonomic Systems (456 citations), Molecular Biology (4.2k citations) and Parasitology (137 citations). Marc Sohrmann has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Andrew Fraser, Julie Ahringer, Peder Zipperlen, Ravi S. Kamath, Alexander Kanapin, Monica Gotta, Nathalie Le Bot, Dong Yan, Gino Poulin and Sergio Moreno. Their work appears in journals such as Genes & Development, Nature, Angewandte Chemie International Edition, Molecular Biology of the Cell and Nature Cell Biology.
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.