Daniel Copeland

774 total citations
10 papers, 484 citations indexed

About

Daniel Copeland is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Daniel Copeland has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Daniel Copeland's work include Plant-Microbe Interactions and Immunity (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Evolution and Genetic Dynamics (2 papers). Daniel Copeland is often cited by papers focused on Plant-Microbe Interactions and Immunity (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Evolution and Genetic Dynamics (2 papers). Daniel Copeland collaborates with scholars based in United States, Denmark and Spain. Daniel Copeland's co-authors include Daniel J. Kliebenstein, Jason Corwin, Julie Feusier, Wei Zhang, Brandon Larson, Baohua Li, Cynthia Weinig, Bindu Joseph, Marta Francisco and Matthew J. Rubin and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Journal of Bacteriology.

In The Last Decade

Daniel Copeland

9 papers receiving 477 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Copeland United States	8	252	139	114	107	69	10	484
Nicholas Thomas United States	9	191 0.8×	162 1.2×	20 0.2×	8 0.1×	6 0.1×	11	359
Anilkumar Bettegowda United States	14	30 0.1×	483 3.5×	329 2.9×	14 0.1×	8 0.1×	18	976
Pádraic Corcoran Sweden	13	237 0.9×	225 1.6×	6 0.1×	10 0.1×	38 0.6×	22	431
Hwan‐Hoo Seong South Korea	8	20 0.1×	127 0.9×	49 0.4×	5 0.0×	9 0.1×	59	336
Wenqing Shi China	16	305 1.2×	350 2.5×	106 0.9×		38 0.6×	38	606
L A Messer United States	9	39 0.2×	83 0.6×	25 0.2×	12 0.1×	7 0.1×	12	364
Michel Franck France	12	34 0.1×	302 2.2×	386 3.4×	5 0.0×	2 0.0×	13	790
Ramey C. Youngblood United States	9	43 0.2×	86 0.6×	35 0.3×	5 0.0×	14 0.2×	22	232
Monika Sharma Canada	11	265 1.1×	213 1.5×	44 0.4×		5 0.1×	15	524

Countries citing papers authored by Daniel Copeland

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Copeland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Copeland

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Copeland. A scholar is included among the top collaborators of Daniel 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 Daniel Copeland. Daniel Copeland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Copeland, Daniel, et al.. (2022). Classification of pivotal tensor categories with fusion rules related to SO(4). Journal of Algebra. 619. 323–346. 1 indexed citations

Zhang, Wei, Jason Corwin, Daniel Copeland, et al.. (2019). Plant–necrotroph co-transcriptome networks illuminate a metabolic battlefield. eLife. 8. 43 indexed citations

Soltis, Nicole E., Céline Caseys, Jason Corwin, et al.. (2018). Digital Imaging Combined with Genome-Wide Association Mapping Links Loci to Plant-Pathogen Interaction Traits. PLANT PHYSIOLOGY. 178(3). 1406–1422. 27 indexed citations

Zhang, Wei, Jason Corwin, Daniel Copeland, et al.. (2017). Plastic Transcriptomes Stabilize Immunity to Pathogen Diversity: The Jasmonic Acid and Salicylic Acid Networks within the Arabidopsis/Botrytis Pathosystem. The Plant Cell. 29(11). 2727–2752. 65 indexed citations

Nezhat, Camran, Anjie Li, Rebecca Falik, et al.. (2017). Bowel endometriosis: diagnosis and management. American Journal of Obstetrics and Gynecology. 218(6). 549–562. 121 indexed citations

Kerwin, Rachel E., Julie Feusier, Alise R. Muok, et al.. (2017). Epistasis × environment interactions among Arabidopsis thaliana glucosinolate genes impact complex traits and fitness in the field. New Phytologist. 215(3). 1249–1263. 16 indexed citations

Corwin, Jason, Daniel Copeland, Julie Feusier, et al.. (2016). The Quantitative Basis of the Arabidopsis Innate Immune System to Endemic Pathogens Depends on Pathogen Genetics. PLoS Genetics. 12(2). e1005789–e1005789. 57 indexed citations

Kerwin, Rachel E., Julie Feusier, Jason Corwin, et al.. (2015). Natural genetic variation in Arabidopsis thaliana defense metabolism genes modulates field fitness. eLife. 4. 119 indexed citations

Kerwin, Rachel E., Julie Feusier, Matthew J. Rubin, et al.. (2015). Master File eLife Dryad Submission-Final. DRYAD. 1 indexed citations

10.

Jiang, Xiaoxu, et al.. (2008). Insight from TonB Hybrid Proteins into the Mechanism of Iron Transport through the Outer Membrane. Journal of Bacteriology. 190(11). 4001–4016. 34 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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