Gabriele Schweikert
- Molecular Biology top 10%
- Plant Science top 5%
- Genetics top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Gunnar RätschBernhard SchölkopfGeorg ZellerJonas BehrSören SonnenburgPetra PhilipsGlenn K. FuKelly A. Frazer
- Topics
- Genomics and Chromatin Dynamics (7 papers)Genomics and Phylogenetic Studies (5 papers)Epigenetics and DNA Methylation (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Gabriele Schweikert
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 799
- Plant Science 413
- Genetics 311
- Artificial Intelligence 108
- Cellular and Molecular Neuroscience 51
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-authorship network of co-authors of Gabriele Schweikert
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Schweikert. A scholar is included among the top collaborators of Gabriele Schweikert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriele Schweikert. Gabriele Schweikert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 16 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 36 | |
| 9 | 101 | |
| 10 | 82 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 24 | |
| 14 | 61 | |
| 15 | 13 | |
| 16 | An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis | 87 |
| 17 | Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thalianabreakdown → | 526 |
| 18 | 128 | |
| 19 | 81 | |
| 20 | 0 |
About Gabriele Schweikert
Gabriele Schweikert is a scholar working on Health Informatics, Structural Biology and Aging, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Structural Biology (21 citations), Molecular Biology (799 citations) and Plant Science (413 citations). Gabriele Schweikert has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gunnar Rätsch, Bernhard Schölkopf, Georg Zeller, Jonas Behr, Sören Sonnenburg, Petra Philips, Glenn K. Fu, Kelly A. Frazer, Stephan Ossowski and Christopher Toomajian. Their work appears in journals such as Science, Nucleic Acids Research and Nature 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.