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 12
- RNA and protein synthesis mechanisms 5
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 3
- Biomedical Text Mining and Ontologies 2
- Ecology 6
- Microbial Community Ecology and Physiology 5
- Bacteriophages and microbial interactions 2
- 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)Athanasios Lykidis (4 shared papers)Otto G. Berg (3 shared papers)Konstantinos Mavromatis (6 shared papers)
- Journals
- PLoS ONE (7 papers)Bioinformatics (5 papers)Genome biology (2 papers)Nucleic Acids Research (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Sean Hooper
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.3k
- Ecology 457
- Endocrinology 46
- Oncology 222
- Genetics 237
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 | 283 | |
| 2 | 2010 | 237 | |
| 3 | 2005 | 223 | |
| 4 | 2005 | 132 | |
| 5 | 2005 | 117 | |
| 6 | 2010 | 91 | |
| 7 | 2009 | 89 | |
| 8 | 2003 | 74 | |
| 9 | 2009 | 69 | |
| 10 | 2009 | 62 | |
| 11 | 2000 | 59 | |
| 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, Food Science and Plant Science, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (5 papers), Microbial Community Ecology and Physiology (5 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (3 papers), Chromosomal and Genetic Variations (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Ecology (457 citations), Endocrinology (46 citations), Oncology (222 citations) and Genetics (237 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, Athanasios Lykidis, Otto G. Berg, Konstantinos Mavromatis, Amrita Pati and Natalia Mikhailova. Their work appears in journals such as PLoS ONE, Bioinformatics, Genome biology, Nucleic Acids Research and BMC Genomics.
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.