Helena Rasche
Impact in
- Endocrinology top 5%
- Aging top 5%
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 4
- Genomics and Phylogenetic Studies 3
- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 1
- Protist diversity and phylogeny 1
-
- Scientific Computing and Data Management 3
- Co-authors
- Saskia Hiltemann (7 shared papers)Björn Grüning (8 shared papers)Marius van den Beek (2 shared papers)Martin Čech (2 shared papers)Dave Clements (2 shared papers)Bérénice Batut (3 shared papers)Nicola Soranzo (2 shared papers)Anton Nekrutenko (3 shared papers)
- Journals
- GigaScience (5 papers)PLoS Computational Biology (3 papers)Nucleic Acids Research (1 paper)Cell Genomics (1 paper)Genome Research (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Helena Rasche
14 papers receiving 2.8k citations
Helena Rasche's Hit Papers
Peers
Comparison fields: 5 of 139
- Endocrinology 119
- Aging 41
- Molecular Biology 1.6k
- Molecular Medicine 88
- Ecology 454
Countries citing papers authored by Helena Rasche
This map shows the geographic impact of Helena Rasche'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 Helena Rasche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Rasche more than expected).
Fields of papers citing papers by Helena Rasche
This network shows the impact of papers produced by Helena Rasche. 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 Helena Rasche. The network helps show where Helena Rasche may publish in the future.
Co-authors
The 25 scholars most cited alongside Helena Rasche, 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 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update Hit paper breakdown → | 2018 | 2503 |
| 2 | 2019 | 136 | |
| 3 | 2020 | 84 | |
| 4 | 2020 | 39 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 0 |
About Helena Rasche
Helena Rasche is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 15 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Genomics and Phylogenetic Studies (3 papers), Scientific Computing and Data Management (3 papers), Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (1 paper), Protist diversity and phylogeny (1 paper), Delphi Technique in Research (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Endocrinology (119 citations), Aging (41 citations), Molecular Biology (1.6k citations), Molecular Medicine (88 citations) and Ecology (454 citations). Helena Rasche has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Saskia Hiltemann, Björn Grüning, Marius van den Beek, Martin Čech, Dave Clements, Bérénice Batut, Nicola Soranzo, Anton Nekrutenko, John Chilton and Daniel Blankenberg. Their work appears in journals such as GigaScience, PLoS Computational Biology, Nucleic Acids Research, Cell Genomics and Genome Research.
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.