Eric S. Rasche
Impact in
-
- Scientific Computing and Data Management
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Gut microbiota and health
- Epigenetics and DNA Methylation
Papers in
- Ecology 12
- Bacteriophages and microbial interactions 12
-
- Scientific Computing and Data Management 5
- Co-authors
- Björn Andreas Grüning (2 shared papers)James Taylor (2 shared papers)Anton Nekrutenko (2 shared papers)John M. Chilton (2 shared papers)Nate Coraor (2 shared papers)Aysam Guerler (1 shared paper)Dave Clements (1 shared paper)Marius van den Beek (1 shared paper)
- Journals
- F1000Research (1 paper)Nature Methods (1 paper)PLoS Computational Biology (1 paper)BMC Bioinformatics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Eric S. Rasche
17 papers receiving 2.7k citations
Eric S. Rasche's Hit Papers
Peers
Comparison fields: 5 of 120
- Information Systems and Management 265
- Molecular Biology 1.2k
- Ecology 280
- Genetics 264
- Aging 14
Countries citing papers authored by Eric S. Rasche
This map shows the geographic impact of Eric S. 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 Eric S. Rasche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Rasche more than expected).
Fields of papers citing papers by Eric S. Rasche
This network shows the impact of papers produced by Eric S. 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 Eric S. Rasche. The network helps show where Eric S. Rasche may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric S. 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: 2016 update Hit paper breakdown → | 2016 | 1647 |
| 2 | Bioconda: sustainable and comprehensive software distribution for the life sciences Hit paper breakdown → | 2018 | 847 |
| 3 | 2018 | 95 | |
| 4 | 2017 | 57 | |
| 5 | 2015 | 16 | |
| 6 | 2015 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 1 |
About Eric S. Rasche
Eric S. Rasche is a scholar working on Ecology, Information Systems and Management, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (12 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Information Systems and Management (265 citations), Molecular Biology (1.2k citations), Ecology (280 citations), Genetics (264 citations) and Aging (14 citations). Eric S. Rasche has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Björn Andreas Grüning, James Taylor, Anton Nekrutenko, John M. Chilton, Nate Coraor, Aysam Guerler, Dave Clements, Marius van den Beek, Enis Afgan and Greg Von Kuster. Their work appears in journals such as F1000Research, Nature Methods, PLoS Computational Biology, BMC Bioinformatics and Nucleic Acids 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.