Robert Schmieder
Impact in
- Ecology top 0.5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Environmental DNA in Biodiversity Studies
- Endocrinology top 1%
Papers in
- Ecology 12
- Bacteriophages and microbial interactions 9
- Microbial Community Ecology and Physiology 3
- Co-authors
- Robert A. EdwardsYan Wei LimForest RohwerDana WillnerMatthew HaynesMike FurlanDouglas ConradFlorent Angly
- Journals
- PLoS ONE (8 papers)Bioinformatics (4 papers)The ISME Journal (2 papers)BMC Bioinformatics (2 papers)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Robert Schmieder
28 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Ecology 2.0k
- Endocrinology 335
- Molecular Medicine 269
- Molecular Biology 3.2k
- Microbiology 226
Countries citing papers authored by Robert Schmieder
This map shows the geographic impact of Robert Schmieder'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 Robert Schmieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Schmieder more than expected).
Fields of papers citing papers by Robert Schmieder
This network shows the impact of papers produced by Robert Schmieder. 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 Robert Schmieder. The network helps show where Robert Schmieder may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Schmieder, 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 | 2014 | 20 | |
| 2 | 2014 | 40 | |
| 3 | 2014 | 91 | |
| 4 | 2013 | 42 | |
| 5 | 2013 | 45 | |
| 6 | 2013 | 119 | |
| 7 | A framework for identifying antibiotic resistance in the human microbiome | 2013 | 1 |
| 8 | 2013 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 108 | |
| 11 | 2012 | 40 | |
| 12 | 2011 | 79 | |
| 13 | 2011 | 178 | |
| 14 | Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets Hit paper breakdown → | 2011 | 524 |
| 15 | 2011 | 134 | |
| 16 | 2011 | 209 | |
| 17 | Quality control and preprocessing of metagenomic datasets Hit paper breakdown → | 2011 | 3682 |
| 18 | 2010 | 189 | |
| 19 | 2010 | 3 | |
| 20 | 2009 | 319 |
About Robert Schmieder
Robert Schmieder is a scholar working on Endocrinology, Ecology, Molecular Medicine, Microbiology and Molecular Biology, having authored 28 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bacteriophages and microbial interactions (9 papers), Respiratory viral infections research (4 papers), Cystic Fibrosis Research Advances (4 papers), Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers), Viral Infections and Vectors (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Ecology (2.0k citations), Endocrinology (335 citations), Molecular Medicine (269 citations), Molecular Biology (3.2k citations) and Microbiology (226 citations). Robert Schmieder has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Robert A. Edwards, Yan Wei Lim, Forest Rohwer, Dana Willner, Matthew Haynes, Mike Furlan, Douglas Conrad, Florent Angly, J. Silva and Bahador Nosrat. Their work appears in journals such as PLoS ONE, Bioinformatics, The ISME Journal, BMC Bioinformatics and Journal of Clinical 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.