Gabriele Schweikert
Impact in
- Structural Biology top 10%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- Cancer-related gene regulation 2
- Co-authors
- Gunnar Rätsch (6 shared papers)Bernhard Schölkopf (4 shared papers)Christian Widmer (2 shared papers)Georg Zeller (3 shared papers)Huaming Chen (1 shared paper)Detlef Weigel (1 shared paper)Stephan Ossowski (1 shared paper)Glenn K. Fu (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Cell Reports (2 papers)Nature Communications (2 papers)Microscopy and Microanalysis (1 paper)Patterns (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Gabriele Schweikert
23 papers receiving 1.6k citations
Gabriele Schweikert's Hit Papers
Peers
Comparison fields: 5 of 151
- Structural Biology 27
- Genetics 331
- Molecular Biology 807
- Plant Science 431
- Artificial Intelligence 213
Countries citing papers authored by Gabriele Schweikert
This map shows the geographic impact of Gabriele Schweikert'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 Gabriele Schweikert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Schweikert more than expected).
Fields of papers citing papers by Gabriele Schweikert
This network shows the impact of papers produced by Gabriele Schweikert. 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 Gabriele Schweikert. The network helps show where Gabriele Schweikert may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriele Schweikert, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana Hit paper breakdown → | 2007 | 593 |
| 2 | Advances in Neural Information Processing Systems 21 (NIPS 2008) | 2008 | 201 |
| 3 | 2007 | 139 | |
| 4 | 2017 | 110 | |
| 5 | An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis | 2008 | 101 |
| 6 | 2005 | 91 | |
| 7 | 2017 | 85 | |
| 8 | 2023 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2021 | 28 | |
| 11 | 2023 | 26 | |
| 12 | 2013 | 25 | |
| 13 | 2010 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2009 | 16 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2016 | 6 | |
| 20 | 2020 | 6 |
About Gabriele Schweikert
Gabriele Schweikert is a scholar working on Molecular Biology, Structural Biology, Health Informatics, Classics and Biophysics, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Structural Biology (27 citations), Genetics (331 citations), Molecular Biology (807 citations), Plant Science (431 citations) and Artificial Intelligence (213 citations). Gabriele Schweikert has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gunnar Rätsch, Bernhard Schölkopf, Christian Widmer, Georg Zeller, Huaming Chen, Detlef Weigel, Stephan Ossowski, Glenn K. Fu, Kelly A. Frazer and Christopher Toomajian. Their work appears in journals such as BMC Bioinformatics, Cell Reports, Nature Communications, Microscopy and Microanalysis and Patterns.
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.