Steve Ferriera
Impact in
- Ecology top 2%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Oceanography top 5%
- Marine and coastal ecosystems
Papers in
-
- Genomics and Phylogenetic Studies 18
- Protist diversity and phylogeny 8
- Ecology 17
- Microbial Community Ecology and Physiology 17
- Co-authors
- Justin Johnson (15 shared papers)Robert Friedman (3 shared papers)Paul D. Thomas (1 shared paper)John J. Sninsky (1 shared paper)Rasmus Nielsen (1 shared paper)Fu Lu (1 shared paper)Gary Wang (1 shared paper)Stephen Glanowski (1 shared paper)
- Journals
- Journal of Bacteriology (11 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)The ISME Journal (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Steve Ferriera
25 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Ecology 991
- Oceanography 270
- Molecular Biology 1.3k
- Environmental Chemistry 164
- Genetics 296
Countries citing papers authored by Steve Ferriera
This map shows the geographic impact of Steve Ferriera'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 Steve Ferriera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Ferriera more than expected).
Fields of papers citing papers by Steve Ferriera
This network shows the impact of papers produced by Steve Ferriera. 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 Steve Ferriera. The network helps show where Steve Ferriera may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Ferriera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 495 | |
| 2 | 2008 | 251 | |
| 3 | 2010 | 228 | |
| 4 | 2006 | 190 | |
| 5 | 2008 | 171 | |
| 6 | 2005 | 114 | |
| 7 | 2011 | 111 | |
| 8 | 2007 | 109 | |
| 9 | 2008 | 105 | |
| 10 | 2009 | 33 | |
| 11 | 2008 | 29 | |
| 12 | 2009 | 24 | |
| 13 | 2011 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2010 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2005 | 15 | |
| 19 | 2010 | 15 | |
| 20 | 2010 | 14 |
About Steve Ferriera
Steve Ferriera is a scholar working on Molecular Biology, Ecology, Environmental Chemistry, Oceanography and Environmental Engineering, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Microbial Community Ecology and Physiology (17 papers), Protist diversity and phylogeny (8 papers), Methane Hydrates and Related Phenomena (3 papers), Cancer Genomics and Diagnostics (2 papers), Algal biology and biofuel production (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Marine and coastal ecosystems (2 papers). The work is most often cited by research in Ecology (991 citations), Oceanography (270 citations), Molecular Biology (1.3k citations), Environmental Chemistry (164 citations) and Genetics (296 citations). Steve Ferriera has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Justin Johnson, Robert Friedman, Paul D. Thomas, John J. Sninsky, Rasmus Nielsen, Fu Lu, Gary Wang, Stephen Glanowski, Andrew G. Clark and Brian J. Murphy. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, PLoS ONE, The ISME Journal and PLoS Genetics.
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.