Cornelia Rumpf
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Fungal and yeast genetics research
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
Papers in
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- Microtubule and mitosis dynamics 7
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- Fungal and yeast genetics research 9
- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 5
- RNA and protein synthesis mechanisms 3
- Plant Reproductive Biology 2
- CRISPR and Genetic Engineering 1
- 14-3-3 protein interactions 1
- Co-authors
- Juraj Gregáň (14 shared papers)Lubos Cipak (10 shared papers)Kim Nasmyth (4 shared papers)Alexander Schleiffer (3 shared papers)Karl Mechtler (4 shared papers)Christian G. Riedel (3 shared papers)Maria Novatchkova (3 shared papers)Alison L. Pidoux (2 shared papers)
- Journals
- Cell Cycle (8 papers)Nature Protocols (3 papers)Microbiology (1 paper)Trends in Genetics (1 paper)PROTEOMICS (1 paper)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Cornelia Rumpf
15 papers receiving 497 citations
Peers
Comparison fields: 5 of 42
- Cell Biology 216
- Molecular Biology 454
- Plant Science 94
- Genetics 31
- Aging 2
Countries citing papers authored by Cornelia Rumpf
This map shows the geographic impact of Cornelia Rumpf'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 Cornelia Rumpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Rumpf more than expected).
Fields of papers citing papers by Cornelia Rumpf
This network shows the impact of papers produced by Cornelia Rumpf. 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 Cornelia Rumpf. The network helps show where Cornelia Rumpf may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Rumpf, 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 | 2007 | 70 | |
| 2 | 2010 | 59 | |
| 3 | 2006 | 55 | |
| 4 | 2007 | 53 | |
| 5 | 2007 | 48 | |
| 6 | 2007 | 37 | |
| 7 | 2010 | 36 | |
| 8 | 2011 | 35 | |
| 9 | 2010 | 30 | |
| 10 | 2009 | 30 | |
| 11 | 2008 | 17 | |
| 12 | 2008 | 15 | |
| 13 | 2013 | 10 | |
| 14 | 2010 | 6 | |
| 15 | 2006 | 1 |
About Cornelia Rumpf
Cornelia Rumpf is a scholar working on Cell Biology, Molecular Biology, Plant Science, Biomedical Engineering and Insect Science, having authored 15 papers that have together received 502 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (6 papers), DNA Repair Mechanisms (5 papers), RNA and protein synthesis mechanisms (3 papers), Plant Reproductive Biology (2 papers), CRISPR and Genetic Engineering (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cell Biology (216 citations), Molecular Biology (454 citations), Plant Science (94 citations), Genetics (31 citations) and Aging (2 citations). Cornelia Rumpf has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Juraj Gregáň, Lubos Cipak, Kim Nasmyth, Alexander Schleiffer, Karl Mechtler, Christian G. Riedel, Maria Novatchkova, Alison L. Pidoux, Mário Špı́rek and Gustav Ammerer. Their work appears in journals such as Cell Cycle, Nature Protocols, Microbiology, Trends in Genetics and PROTEOMICS.
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.