Brian D. Eads
Impact in
- Genetics top 10%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Environmental Chemistry top 10%
- Aquatic Ecosystems and Phytoplankton Dynamics
Papers in
-
- Mitochondrial Function and Pathology 3
- DNA Repair Mechanisms 2
- RNA Research and Splicing 2
- Protist diversity and phylogeny 2
- Genetics 5
- Evolution and Genetic Dynamics 4
- Co-authors
- Justen Andrews (9 shared papers)John K. Colbourne (4 shared papers)Michael Lynch (3 shared papers)Carol Eunmi Lee (1 shared paper)Gregory Gelembiuk (1 shared paper)Marijan Posavi (1 shared paper)Matthew S. Ackerman (1 shared paper)Sen Xu (1 shared paper)
- Journals
- Journal of Experimental Biology (3 papers)Cell Reports (2 papers)BMC Genomics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genome biology (1 paper)
- Partner nations
- United StatesRussiaAustralia
In The Last Decade
Brian D. Eads
21 papers receiving 890 citations
Peers
Comparison fields: 5 of 74
- Genetics 288
- Environmental Chemistry 98
- Ecology 238
- Aging 12
- Aquatic Science 49
Countries citing papers authored by Brian D. Eads
This map shows the geographic impact of Brian D. Eads'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 Brian D. Eads with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Eads more than expected).
Fields of papers citing papers by Brian D. Eads
This network shows the impact of papers produced by Brian D. Eads. 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 Brian D. Eads. The network helps show where Brian D. Eads may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Eads, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 189 | |
| 2 | 2011 | 125 | |
| 3 | 2013 | 114 | |
| 4 | 2007 | 87 | |
| 5 | 2008 | 59 | |
| 6 | 2009 | 56 | |
| 7 | 2008 | 48 | |
| 8 | 2007 | 48 | |
| 9 | 2009 | 38 | |
| 10 | 2012 | 31 | |
| 11 | 2007 | 24 | |
| 12 | 2021 | 20 | |
| 13 | 2003 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2003 | 10 | |
| 16 | 2006 | 9 | |
| 17 | 1999 | 8 | |
| 18 | 2009 | 6 | |
| 19 | 2004 | 3 | |
| 20 | 2013 | 2 |
About Brian D. Eads
Brian D. Eads is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Aquatic Science, having authored 21 papers that have together received 905 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (4 papers), Mitochondrial Function and Pathology (3 papers), DNA Repair Mechanisms (2 papers), Aquaculture Nutrition and Growth (2 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers), Protist diversity and phylogeny (2 papers) and Crustacean biology and ecology (2 papers). The work is most often cited by research in Genetics (288 citations), Environmental Chemistry (98 citations), Ecology (238 citations), Aging (12 citations) and Aquatic Science (49 citations). Brian D. Eads has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Justen Andrews, John K. Colbourne, Michael Lynch, Carol Eunmi Lee, Gregory Gelembiuk, Marijan Posavi, Matthew S. Ackerman, Sen Xu, Abraham E. Tucker and John M. Logsdon. Their work appears in journals such as Journal of Experimental Biology, Cell Reports, BMC Genomics, Proceedings of the National Academy of Sciences 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.