Sean Powell
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Planarian Biology and Electrostimulation
- RNA and protein synthesis mechanisms
- Aging top 10%
Papers in
-
- Genomics and Phylogenetic Studies 6
- Protist diversity and phylogeny 3
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 2
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- Reproductive Biology and Fertility 2
- Co-authors
- Peer Bork (5 shared papers)Christian von Mering (4 shared papers)Damian Szklarczyk (3 shared papers)Alexander Röth (3 shared papers)Lars Juhl Jensen (3 shared papers)Michael Kuhn (3 shared papers)Kalliopi Trachana (4 shared papers)Thomas Rattei (2 shared papers)
- Journals
- Nature (3 papers)Nucleic Acids Research (3 papers)Current Biology (1 paper)Applied Clinical Informatics (1 paper)Science and Engineering Ethics (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Sean Powell
14 papers receiving 1.9k citations
Sean Powell's Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.3k
- Aging 21
- Ecology 296
- Plant Science 374
- Genetics 247
Countries citing papers authored by Sean Powell
This map shows the geographic impact of Sean Powell'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 Powell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Powell more than expected).
Fields of papers citing papers by Sean Powell
This network shows the impact of papers produced by Sean Powell. 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 Powell. The network helps show where Sean Powell may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Powell, 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 | eggNOG v4.0: nested orthology inference across 3686 organisms Hit paper breakdown → | 2013 | 501 |
| 2 | 2011 | 415 | |
| 3 | The axolotl genome and the evolution of key tissue formation regulators Hit paper breakdown → | 2018 | 352 |
| 4 | 2009 | 189 | |
| 5 | 2018 | 150 | |
| 6 | 2011 | 97 | |
| 7 | 2022 | 94 | |
| 8 | 2007 | 63 | |
| 9 | 2021 | 33 | |
| 10 | 2003 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2014 | 12 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 |
About Sean Powell
Sean Powell is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Plant Science, Pediatrics, Perinatology and Child Health and Genetics, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (3 papers), Protist diversity and phylogeny (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Chromatin Dynamics (3 papers), Prenatal Screening and Diagnostics (2 papers), Reproductive Biology and Fertility (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Aging (21 citations), Ecology (296 citations), Plant Science (374 citations) and Genetics (247 citations). Sean Powell has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peer Bork, Christian von Mering, Damian Szklarczyk, Alexander Röth, Lars Juhl Jensen, Michael Kuhn, Kalliopi Trachana, Thomas Rattei, Tobias Doerks and Jean Muller. Their work appears in journals such as Nature, Nucleic Acids Research, Current Biology, Applied Clinical Informatics and Science and Engineering Ethics.
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.