Daniel Ebert

2.2k total citations
22 papers, 1.2k citations indexed

About

Daniel Ebert is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel Ebert has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel Ebert's work include Genetic diversity and population structure (7 papers), Plant and animal studies (5 papers) and Avian ecology and behavior (3 papers). Daniel Ebert is often cited by papers focused on Genetic diversity and population structure (7 papers), Plant and animal studies (5 papers) and Avian ecology and behavior (3 papers). Daniel Ebert collaborates with scholars based in Australia, United States and Canada. Daniel Ebert's co-authors include Rod Peakall, Loren H. Rieseberg, Nolan C. Kane, Dan G. Bock, Wittko Francke, Colin C. Bower, Florian P. Schiestl, Russell A. Barrow, Jacqueline Poldy and Kate L. Ostevik and has published in prestigious journals such as PLoS ONE, New Phytologist and Developmental Cell.

In The Last Decade

Daniel Ebert

21 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ebert Australia 15 528 512 468 431 163 22 1.2k
Wan‐Jin Liao China 17 410 0.8× 513 1.0× 369 0.8× 365 0.8× 263 1.6× 46 1.0k
Jacob B. Landis United States 22 887 1.7× 654 1.3× 664 1.4× 514 1.2× 157 1.0× 92 1.7k
Mi Yoon Chung South Korea 18 269 0.5× 591 1.2× 491 1.0× 497 1.2× 203 1.2× 59 990
Karol Krak Czechia 22 301 0.6× 402 0.8× 750 1.6× 258 0.6× 130 0.8× 52 1.1k
Tomáš Fér Czechia 22 449 0.9× 517 1.0× 566 1.2× 354 0.8× 152 0.9× 46 1.2k
Kevin Weitemier United States 13 938 1.8× 680 1.3× 474 1.0× 404 0.9× 98 0.6× 16 1.4k
Catherine J. Nock Australia 18 531 1.0× 238 0.5× 460 1.0× 452 1.0× 199 1.2× 45 1.2k
Joseph F. Walker United States 17 861 1.6× 778 1.5× 457 1.0× 447 1.0× 86 0.5× 29 1.4k
Lisa Pokorny United Kingdom 21 802 1.5× 1.0k 2.0× 677 1.4× 406 0.9× 146 0.9× 38 1.6k
Elliot M. Gardner United States 13 562 1.1× 621 1.2× 372 0.8× 302 0.7× 93 0.6× 32 1.0k

Countries citing papers authored by Daniel Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ebert. A scholar is included among the top collaborators of Daniel Ebert 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 Ebert. Daniel Ebert 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
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Ebert, Daniel, Alexander Mensch, Artur Rebelo, et al.. (2021). Cardiogenic shock with highly complicated course after influenza A virus infection treated with vva-ECMO and Impella CP (ECMELLA): a case report. BMC Cardiovascular Disorders. 21(1). 528–528. 2 indexed citations
3.
Crawford, Emily, Jenai Quan, Jeremy A. Horst, et al.. (2017). Plasmid-free CRISPR/Cas9 genome editing in Plasmodium falciparum confirms mutations conferring resistance to the dihydroisoquinolone clinical candidate SJ733. PLoS ONE. 12(5). e0178163–e0178163. 42 indexed citations
4.
Grassa, Christopher J., Daniel Ebert, Nolan C. Kane, & Loren H. Rieseberg. (2016). Complete Mitochondrial Genome Sequence of Sunflower ( Helianthus annuus L.). Genome Announcements. 4(5). 14 indexed citations
5.
Nambeesan, Savithri U., Jennifer R. Mandel, John Bowers, et al.. (2015). Association mapping in sunflower (Helianthus annuus L.) reveals independent control of apical vs. basal branching. BMC Plant Biology. 15(1). 84–84. 30 indexed citations
6.
Schulze, Christopher J., Gabriel Navarro, Daniel Ebert, Joseph L. DeRisi, & Roger G. Linington. (2015). Salinipostins A–K, Long-Chain Bicyclic Phosphotriesters as a Potent and Selective Antimalarial Chemotype. The Journal of Organic Chemistry. 80(3). 1312–1320. 52 indexed citations
7.
Mandel, Jennifer R., Savithri U. Nambeesan, John Bowers, et al.. (2013). Association Mapping and the Genomic Consequences of Selection in Sunflower. PLoS Genetics. 9(3). e1003378–e1003378. 90 indexed citations
8.
Bock, Dan G., Nolan C. Kane, Daniel Ebert, & Loren H. Rieseberg. (2013). Genome skimming reveals the origin of the Jerusalem Artichoke tuber crop species: neither from Jerusalem nor an artichoke. New Phytologist. 201(3). 1021–1030. 125 indexed citations
9.
Andrew, Rose L., Kate L. Ostevik, Daniel Ebert, & Loren H. Rieseberg. (2012). Adaptation with gene flow across the landscape in a dune sunflower. Molecular Ecology. 21(9). 2078–2091. 82 indexed citations
10.
Lee, Florence Y., Emily J. Faivre, Miyuki Suzawa, et al.. (2011). Eliminating SF-1 (NR5A1) Sumoylation In Vivo Results in Ectopic Hedgehog Signaling and Disruption of Endocrine Development. Developmental Cell. 21(2). 315–327. 65 indexed citations
11.
Gardner, Janet L., John Trueman, Daniel Ebert, Leo Joseph, & Robert D. Magrath. (2010). Phylogeny and evolution of the Meliphagoidea, the largest radiation of Australasian songbirds. Molecular Phylogenetics and Evolution. 55(3). 1087–1102. 62 indexed citations
12.
Peakall, Rod, Daniel Ebert, Jacqueline Poldy, et al.. (2010). Pollinator specificity, floral odour chemistry and the phylogeny of Australian sexually deceptiveChiloglottisorchids: implications for pollinator‐driven speciation. New Phytologist. 188(2). 437–450. 184 indexed citations
13.
Abbott, Cathryn L., Daniel Ebert, Amy Tabata, & Thomas W. Therriault. (2010). Twelve microsatellite markers in the invasive tunicate, Didemnum vexillum, isolated from low genome coverage 454 pyrosequencing reads. Conservation Genetics Resources. 3(1). 79–81. 11 indexed citations
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Ebert, Daniel, Christine Hayes, & Rod Peakall. (2009). Chloroplast simple sequence repeat markers for evolutionary studies in the sexually deceptive orchid genus Chiloglottis. Molecular Ecology Resources. 9(3). 784–789. 18 indexed citations
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Heinsohn, Robert, Daniel Ebert, Sarah Legge, & Rod Peakall. (2007). Genetic evidence for cooperative polyandry in reverse dichromatic Eclectus parrots. Animal Behaviour. 74(4). 1047–1054. 36 indexed citations
18.
Heinsohn, Robert, et al.. (2005). Microsatellite loci for behavioural studies of Eclectus parrot (Eclectus roratus: Aves). Molecular Ecology Notes. 5(3). 616–618. 3 indexed citations
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20.
Dwyer, Peter D. & Daniel Ebert. (1994). The use of spider silk in the initiation of nest-building by weaver ants (Formicidae: Formicinae: Polyrhachis). Biodiversity Heritage Library (Smithsonian Institution). 5 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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