Alex Copeland

5.7k total citations
23 papers, 669 citations indexed

About

Alex Copeland is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Alex Copeland has authored 23 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Ecology and 6 papers in Plant Science. Recurrent topics in Alex Copeland's work include Genomics and Phylogenetic Studies (16 papers), Microbial Community Ecology and Physiology (10 papers) and Plant Disease Resistance and Genetics (3 papers). Alex Copeland is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Microbial Community Ecology and Physiology (10 papers) and Plant Disease Resistance and Genetics (3 papers). Alex Copeland collaborates with scholars based in United States, United Kingdom and Germany. Alex Copeland's co-authors include Natalia Ivanova, Nikos C. Kyrpides, Alla Lapidus, Miriam Land, Brian Bushnell, Athanasios Lykidis, Susan Lucas, Tae-Hyuk Ahn, Michele Martinez and Konstantinos Mavromatis and has published in prestigious journals such as Bioinformatics, Journal of Bacteriology and International Journal of Food Microbiology.

In The Last Decade

Alex Copeland

22 papers receiving 662 citations

Peers

Alex Copeland
Yan Zhi China
Bon‐Sung Koo South Korea
Sun‐Chang Kim South Korea
Nicholas S. McCarty United States
Noam Shani Switzerland
Myungjin Lee South Korea
Yan Zhi China
Alex Copeland
Citations per year, relative to Alex Copeland Alex Copeland (= 1×) peers Yan Zhi

Countries citing papers authored by Alex Copeland

Since Specialization
Citations

This map shows the geographic impact of Alex Copeland'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 Alex Copeland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Copeland more than expected).

Fields of papers citing papers by Alex Copeland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Copeland. 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 Alex Copeland. The network helps show where Alex Copeland may publish in the future.

Co-authorship network of co-authors of Alex Copeland

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Copeland. A scholar is included among the top collaborators of Alex Copeland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex Copeland. Alex Copeland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peralta, Ariane L., Mario E. Muscarella, Marcel Huntemann, et al.. (2020). Metagenomes from Experimental Hydrologic Manipulation of Restored Coastal Plain Wetland Soils (Tyrell County, North Carolina). Microbiology Resource Announcements. 9(41).
2.
Choi, Dong Han, Alla Lapidus, Alex Copeland, et al.. (2017). Draft genome sequence of Marinobacterium rhizophilum CL-YJ9T (DSM 18822T), isolated from the rhizosphere of the coastal tidal-flat plant Suaeda japonica. Standards in Genomic Sciences. 12(1). 65–65. 1 indexed citations
3.
Gutiérrez, Tony, William B. Whitman, Marcel Huntemann, et al.. (2017). Genome Sequence of Oceanicola sp. Strain MCTG156(1a), Isolated from a Scottish Coastal Phytoplankton Net Sample. Genome Announcements. 5(32). 4 indexed citations
4.
Ntougias, Spyridon, Alla Lapidus, Alex Copeland, et al.. (2015). High-quality permanent draft genome sequence of the extremely osmotolerant diphenol degrading bacterium Halotalea alkalilenta AW-7T, and emended description of the genus Halotalea. Standards in Genomic Sciences. 10(1). 52–52. 6 indexed citations
5.
Laviad‐Shitrit, Sivan, Alla Lapidus, Alex Copeland, et al.. (2015). High quality draft genome sequence of Leucobacter chironomi strain MM2LBT (DSM 19883T) isolated from a Chironomus sp. egg mass. Standards in Genomic Sciences. 10(1). 21–21. 9 indexed citations
6.
Piao, Hailan, Nicole M. Scott, Stephanie Malfatti, et al.. (2014). Metagenomic analysis of microbial consortium from natural crude oil that seeps into the marine ecosystem offshore Southern California. Standards in Genomic Sciences. 9(3). 1259–1274. 23 indexed citations
7.
Ahn, Tae-Hyuk, et al.. (2014). Omega: an Overlap-graphde novoAssembler for Metagenomics. Bioinformatics. 30(19). 2717–2722. 66 indexed citations
8.
Piškur, Jure, Zhihao Ling, Marina Marcet‐Houben, et al.. (2012). The genome of wine yeast Dekkera bruxellensis provides a tool to explore its food-related properties. International Journal of Food Microbiology. 157(2). 202–209. 92 indexed citations
9.
Lucas‐Elío, Patricia, Lynne Goodwin, Tanja Woyke, et al.. (2012). Complete genome sequence of Marinomonas posidonica type strain (IVIA-Po-181T). Standards in Genomic Sciences. 7(1). 31–43. 7 indexed citations
10.
Copeland, Alex. (2012). Assembly of large metagenome data sets using a Convey HC-1 hybrid core computer (7th Annual SFAF Meeting, 2012). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Lucas‐Elío, Patricia, Lynne Goodwin, Tanja Woyke, et al.. (2012). Complete genome sequence of the melanogenic marine bacterium Marinomonas mediterranea type strain (MMB-1T).. Standards in Genomic Sciences. 6(1). 63–73. 20 indexed citations
12.
Li, Mingkun, Alex Copeland, & James Han. (2011). DUK - A Fast and Efficient Kmer Based Sequence Matching Tool. University of North Texas Digital Library (University of North Texas). 13 indexed citations
13.
Liu, Siqing, Timothy D. Leathers, Alex Copeland, et al.. (2011). Complete Genome Sequence of Lactobacillus buchneri NRRL B-30929, a Novel Strain from a Commercial Ethanol Plant. Journal of Bacteriology. 193(15). 4019–4020. 29 indexed citations
14.
Li, Mingkun, et al.. (2011). DUK - A Fast and Efficient Kmer Matching Tool. eScholarship (California Digital Library). 5 indexed citations
15.
Miller, David A., Garret Suen, David Bruce, et al.. (2011). Complete Genome Sequence of the Cellulose-Degrading Bacterium Cellulosilyticum lentocellum. Journal of Bacteriology. 193(9). 2357–2358. 26 indexed citations
16.
Lykidis, Athanasios, Konstantinos Mavromatis, Natalia Ivanova, et al.. (2007). Genome Sequence and Analysis of the Soil Cellulolytic Actinomycete Thermobifida fusca. eScholarship (California Digital Library). 2 indexed citations
17.
Lykidis, Athanasios, Konstantinos Mavromatis, Natalia Ivanova, et al.. (2007). Genome Sequence and Analysis of the Soil Cellulolytic ActinomyceteThermobifida fuscaYX. Journal of Bacteriology. 189(6). 2477–2486. 145 indexed citations
18.
Feil, Helene, William S. Feil, Patrick Chain, et al.. (2005). Comparison of the complete genome sequences of Pseudomonas syringae pv. syringae B728a and pv. tomato DC3000.. PubMed. 102(31). 11064–9. 13 indexed citations
19.
Olsen, Anne S., Stephan Teglund, David Nelson, et al.. (1994). Gene Organization of the Pregnancy-Specific Glycoprotein Region on Human Chromosome 19: Assembly and Analysis of a 700-kb Cosmid Contig Spanning the Region. Genomics. 23(3). 659–668. 52 indexed citations
20.
Trask, Barbara J., Anne Fertitta, Mari Christensen, et al.. (1993). Fluorescence in Situ Hybridization Mapping of Human Chromosome 19: Cytogenetic Band Location of 540 Cosmids and 70 Genes or DNA Markers. Genomics. 15(1). 133–145. 72 indexed citations

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.

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