Sean Hooper
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- DNA Repair Mechanisms
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Genomics and Phylogenetic Studies 20
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 6
- Cancer-related gene regulation 4
- Machine Learning in Bioinformatics 3
- Ecology 11
- Microbial Community Ecology and Physiology 10
- Bacteriophages and microbial interactions 4
- Co-authors
- Peer Bork (5 shared papers)Nikos C. Kyrpides (12 shared papers)Natalia Ivanova (7 shared papers)Konrad Foerstner (2 shared papers)Christian von Mering (1 shared paper)Otto G. Berg (3 shared papers)Athanasios Lykidis (4 shared papers)Konstantinos Mavromatis (6 shared papers)
- Journals
- PLoS ONE (7 papers)Bioinformatics (5 papers)Journal of Molecular Evolution (2 papers)BMC Genomics (2 papers)Genome biology (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Sean Hooper
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.5k
- Ecology 501
- Endocrinology 52
- Genetics 273
- Oncology 241
Countries citing papers authored by Sean Hooper
This map shows the geographic impact of Sean Hooper'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 Sean Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Hooper more than expected).
Fields of papers citing papers by Sean Hooper
This network shows the impact of papers produced by Sean Hooper. 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 Sean Hooper. The network helps show where Sean Hooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Hooper, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 279 | |
| 2 | 2010 | 234 | |
| 3 | 2005 | 221 | |
| 4 | 2005 | 132 | |
| 5 | 2005 | 117 | |
| 6 | 2010 | 91 | |
| 7 | 2009 | 89 | |
| 8 | 2003 | 74 | |
| 9 | 2009 | 69 | |
| 10 | 2009 | 62 | |
| 11 | 2000 | 58 | |
| 12 | 2007 | 57 | |
| 13 | 2011 | 55 | |
| 14 | 2003 | 55 | |
| 15 | 2009 | 48 | |
| 16 | 2009 | 47 | |
| 17 | 2011 | 40 | |
| 18 | 2002 | 35 | |
| 19 | 2013 | 32 | |
| 20 | 2008 | 30 |
About Sean Hooper
Sean Hooper is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Food Science, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Microbial Community Ecology and Physiology (10 papers), RNA and protein synthesis mechanisms (6 papers), Bioinformatics and Genomic Networks (6 papers), Bacteriophages and microbial interactions (4 papers), Cancer-related gene regulation (4 papers), Machine Learning in Bioinformatics (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Ecology (501 citations), Endocrinology (52 citations), Genetics (273 citations) and Oncology (241 citations). Sean Hooper has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Peer Bork, Nikos C. Kyrpides, Natalia Ivanova, Konrad Foerstner, Christian von Mering, Otto G. Berg, Athanasios Lykidis, Konstantinos Mavromatis, Amrita Pati and Galina Ovchinnikova. Their work appears in journals such as PLoS ONE, Bioinformatics, Journal of Molecular Evolution, BMC Genomics and Genome biology.
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.