Ivan Gregor
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 1
- Ecology 2
- Microbial Community Ecology and Physiology 2
- Co-authors
- Alice Carolyn McHardy (6 shared papers)Johannes Dröge (2 shared papers)Alasdair K. Mackenzie (1 shared paper)Wendy J. M. Smith (1 shared paper)Phillip Byron Pope (1 shared paper)Vincent G. H. Eijsink (1 shared paper)Monica Alterskjær Sundset (1 shared paper)Mark D. Morrison (1 shared paper)
- Journals
- PeerJ (2 papers)Bioinformatics (2 papers)PLoS ONE (1 paper)Nature Methods (1 paper)Environmental Microbiology (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Ivan Gregor
7 papers receiving 937 citations
Ivan Gregor's Hit Papers
Peers
Comparison fields: 5 of 84
- Ecology 331
- Molecular Biology 600
- Agronomy and Crop Science 81
- Molecular Medicine 29
- Pollution 50
Countries citing papers authored by Ivan Gregor
This map shows the geographic impact of Ivan Gregor'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 Ivan Gregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Gregor more than expected).
Fields of papers citing papers by Ivan Gregor
This network shows the impact of papers produced by Ivan Gregor. 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 Ivan Gregor. The network helps show where Ivan Gregor may publish in the future.
Co-authors
The 20 scholars most cited alongside Ivan Gregor, 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 | Critical Assessment of Metagenome Interpretation—a benchmark of metagenomics software Hit paper breakdown → | 2017 | 546 |
| 2 | 2012 | 157 | |
| 3 | 2014 | 117 | |
| 4 | 2016 | 74 | |
| 5 | 2016 | 40 | |
| 6 | 2016 | 13 | |
| 7 | 2013 | 2 |
About Ivan Gregor
Ivan Gregor is a scholar working on Molecular Biology, Ecology, Paleontology, Genetics and Agronomy and Crop Science, having authored 7 papers that have together received 949 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Microbial Community Ecology and Physiology (2 papers), Ruminant Nutrition and Digestive Physiology (1 paper), Evolution and Paleontology Studies (1 paper), Gene expression and cancer classification (1 paper), Biofuel production and bioconversion (1 paper), Genetic diversity and population structure (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Ecology (331 citations), Molecular Biology (600 citations), Agronomy and Crop Science (81 citations), Molecular Medicine (29 citations) and Pollution (50 citations). Ivan Gregor has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Alice Carolyn McHardy, Johannes Dröge, Alasdair K. Mackenzie, Wendy J. M. Smith, Phillip Byron Pope, Vincent G. H. Eijsink, Monica Alterskjær Sundset, Mark D. Morrison, Melanie Schirmer and Christopher Quince. Their work appears in journals such as PeerJ, Bioinformatics, PLoS ONE, Nature Methods and Environmental Microbiology.
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.