Edda Klipp
Impact in
- Aging top 2%
- Molecular Biology top 1%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Protein Structure and Dynamics
- Single-cell and spatial transcriptomics
Papers in
-
- Gene Regulatory Network Analysis 75
- Microbial Metabolic Engineering and Bioproduction 59
- Fungal and yeast genetics research 57
- Bioinformatics and Genomic Networks 31
- Protein Structure and Dynamics 12
- DNA Repair Mechanisms 6
- Cell Biology 15
- Microtubule and mitosis dynamics 7
- Co-authors
- Wolfram Liebermeister (18 shared papers)Stefan Hohmann (13 shared papers)Axel Kowald (6 shared papers)Zhike Zi (7 shared papers)Bodil Nordlander (6 shared papers)Reinhart Heinrich (5 shared papers)Jörg Schaber (12 shared papers)Hans Lehrach (5 shared papers)
- Journals
- Bioinformatics (9 papers)PLoS Computational Biology (9 papers)PLoS ONE (8 papers)Molecular Systems Biology (7 papers)BMC Bioinformatics (6 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Edda Klipp
164 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 166
- Aging 149
- Molecular Biology 4.4k
- Biophysics 189
- Cell Biology 400
- Modeling and Simulation 94
Countries citing papers authored by Edda Klipp
This map shows the geographic impact of Edda Klipp'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 Edda Klipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edda Klipp more than expected).
Fields of papers citing papers by Edda Klipp
This network shows the impact of papers produced by Edda Klipp. 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 Edda Klipp. The network helps show where Edda Klipp may publish in the future.
Co-authors
The 25 scholars most cited alongside Edda Klipp, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 449 | |
| 2 | 2005 | 351 | |
| 3 | 2005 | 300 | |
| 4 | 2010 | 257 | |
| 5 | 2017 | 180 | |
| 6 | 2006 | 169 | |
| 7 | 2015 | 162 | |
| 8 | 2010 | 128 | |
| 9 | 2006 | 124 | |
| 10 | 2008 | 123 | |
| 11 | 2004 | 100 | |
| 12 | 2010 | 96 | |
| 13 | 2013 | 94 | |
| 14 | 2002 | 91 | |
| 15 | 2007 | 90 | |
| 16 | 2011 | 89 | |
| 17 | 2012 | 86 | |
| 18 | 2013 | 81 | |
| 19 | 2011 | 78 | |
| 20 | 1997 | 73 |
About Edda Klipp
Edda Klipp is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Plant Science and Genetics, having authored 169 papers that have together received 5.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (75 papers), Microbial Metabolic Engineering and Bioproduction (59 papers), Fungal and yeast genetics research (57 papers), Bioinformatics and Genomic Networks (31 papers), Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers), Microtubule and mitosis dynamics (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Aging (149 citations), Molecular Biology (4.4k citations), Biophysics (189 citations), Cell Biology (400 citations) and Modeling and Simulation (94 citations). Edda Klipp has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Wolfram Liebermeister, Stefan Hohmann, Axel Kowald, Zhike Zi, Bodil Nordlander, Reinhart Heinrich, Jörg Schaber, Hans Lehrach, Peter Gennemark and Christoph Wierling. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, PLoS ONE, Molecular Systems Biology and BMC Bioinformatics.
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.