Daniel J. Schmidt

1.8k total citations
84 papers, 1.3k citations indexed

About

Daniel J. Schmidt is a scholar working on Genetics, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Daniel J. Schmidt has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 40 papers in Nature and Landscape Conservation and 29 papers in Ecology. Recurrent topics in Daniel J. Schmidt's work include Genetic diversity and population structure (40 papers), Fish Ecology and Management Studies (31 papers) and Identification and Quantification in Food (12 papers). Daniel J. Schmidt is often cited by papers focused on Genetic diversity and population structure (40 papers), Fish Ecology and Management Studies (31 papers) and Identification and Quantification in Food (12 papers). Daniel J. Schmidt collaborates with scholars based in Australia, Germany and Spain. Daniel J. Schmidt's co-authors include Jane Hughes, Debra S. Finn, Joel A. Huey, David A. Crook, Jed I. Macdonald, Leo Joseph, Nick Bond, Jonathan C. Marshall, Hanna Kokko and Katja Heubel and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and BioScience.

In The Last Decade

Daniel J. Schmidt

84 papers receiving 1.3k 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 J. Schmidt Australia 19 649 636 551 231 196 84 1.3k
Windsor E. Aguirre United States 19 558 0.9× 457 0.7× 404 0.7× 263 1.1× 183 0.9× 41 1.1k
Kazunori Yamahira Japan 20 505 0.8× 454 0.7× 377 0.7× 344 1.5× 269 1.4× 74 1.2k
Pedro F. Victoriano Chile 16 413 0.6× 528 0.8× 409 0.7× 135 0.6× 247 1.3× 49 1.1k
Brian R. Kreiser United States 18 705 1.1× 289 0.5× 435 0.8× 249 1.1× 99 0.5× 76 1.1k
Jonathan Sandoval‐Castillo Australia 19 426 0.7× 453 0.7× 479 0.9× 171 0.7× 81 0.4× 57 1.1k
Katsutoshi Watanabe Japan 23 923 1.4× 879 1.4× 724 1.3× 547 2.4× 205 1.0× 125 1.8k
Oliver M. Selz Switzerland 16 433 0.7× 799 1.3× 365 0.7× 213 0.9× 336 1.7× 33 1.3k
José Manuel Cano Finland 21 537 0.8× 1.0k 1.6× 462 0.8× 122 0.5× 536 2.7× 29 1.6k
Temel Şahin Türkiye 10 254 0.4× 465 0.7× 270 0.5× 222 1.0× 315 1.6× 31 1.0k
Mary M. Peacock United States 20 682 1.1× 581 0.9× 959 1.7× 109 0.5× 303 1.5× 61 1.5k

Countries citing papers authored by Daniel J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Schmidt. A scholar is included among the top collaborators of Daniel J. Schmidt 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 J. Schmidt. Daniel J. Schmidt 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.
Ghirotto, Silvia, Daniel J. Schmidt, Silvia Fuselli, et al.. (2024). Unravelling the mystery of endemic versus translocated populations of the endangered Australian lungfish ( Neoceratodus forsteri ). Molecular Ecology. 33(5). e17266–e17266. 1 indexed citations
2.
Karoly, Philippa J., David B. Grayden, Yun Zhao, et al.. (2023). Brain model state space reconstruction using an LSTM neural network. Journal of Neural Engineering. 20(3). 36024–36024. 5 indexed citations
3.
Fuselli, Silvia, Samuele Greco, Carmel McDougall, et al.. (2023). Relaxation of Natural Selection in the Evolution of the Giant Lungfish Genomes. Molecular Biology and Evolution. 40(9). 7 indexed citations
4.
Joseph, Leo, et al.. (2019). Phylogeography of the blue-winged kookaburraDacelo leachiiacross tropical northern Australia and New Guinea. Emu - Austral Ornithology. 120(1). 33–45. 6 indexed citations
5.
Fallon, Stewart, Andrew McDougall, David T. Roberts, et al.. (2019). Age structure of the Australian lungfish (Neoceratodus forsteri). PLoS ONE. 14(1). e0210168–e0210168. 4 indexed citations
6.
Wilson, Jeremy D., Jane Hughes, Robert J. Raven, Michael G. Rix, & Daniel J. Schmidt. (2018). Spiny trapdoor spiders (Euoplos) of eastern Australia: Broadly sympatric clades are differentiated by burrow architecture and male morphology. Molecular Phylogenetics and Evolution. 122. 157–165. 18 indexed citations
7.
Schmidt, Daniel J., et al.. (2018). Improved genetic markers for monitoring recruitment dynamics in the endangered Mary River cod (Maccullochella mariensis). Journal of Applied Ichthyology. 34(3). 633–637. 1 indexed citations
8.
Schmidt, Daniel J. & Carmel McDougall. (2018). Complete mitogenomes of five ecologically diverse Australian freshwater fishes. Mitochondrial DNA Part B. 4(1). 191–193. 2 indexed citations
9.
Schmidt, Daniel J., Stewart Fallon, David T. Roberts, et al.. (2018). Monitoring age‐related trends in genomic diversity of Australian lungfish. Molecular Ecology. 27(16). 3231–3241. 7 indexed citations
10.
Schmidt, Daniel J.. (2018). The complete mitogenome of Caridina indistincta ‘sp. A’ (Decapoda: Atyidae). Mitochondrial DNA Part B. 3(2). 835–837. 3 indexed citations
11.
Schmidt, Daniel J., et al.. (2018). Patterns of genetic structuring at the northern limits of the Australian smelt ( Retropinna semoni ) cryptic species complex. PeerJ. 6. e4654–e4654. 3 indexed citations
12.
Schmidt, Daniel J., et al.. (2017). Conservation genetics of the Mary River turtle (Elusor macrurus) in natural and captive populations. Aquatic Conservation Marine and Freshwater Ecosystems. 28(1). 115–123. 12 indexed citations
13.
Schmidt, Daniel J., et al.. (2016). Complete mitogenomes for two lineages of the Australian smelt, Retropinna semoni (Osmeriformes: Retropinnidae). Mitochondrial DNA Part B. 1(1). 615–616. 6 indexed citations
14.
Schwarz, Simon, Peter Behnisch, Abraham Brouwer, et al.. (2016). Peregrine falcon egg pollutants: Mirror Stockholm POPs list including methylmercury. Toxicological & Environmental Chemistry Reviews. 98(8). 886–923. 3 indexed citations
15.
Wilson, Jeremy D., Daniel J. Schmidt, & Jane Hughes. (2016). Movement of a Hybrid Zone Between Lineages of the Australian Glass Shrimp (Paratya australiensis). Journal of Heredity. 107(5). 413–422. 4 indexed citations
16.
17.
Lehtonen, Jussi, Daniel J. Schmidt, Katja Heubel, & Hanna Kokko. (2013). Evolutionary and ecological implications of sexual parasitism. Trends in Ecology & Evolution. 28(5). 297–306. 61 indexed citations
18.
19.
Hughes, Jane, et al.. (2012). Extreme Genetic Structure in a Small-Bodied Freshwater Fish, the Purple Spotted Gudgeon, Mogurnda adspersa (Eleotridae). PLoS ONE. 7(7). e40546–e40546. 34 indexed citations
20.
Schmidt, Daniel J., et al.. (2011). Nine microsatellite markers for the Australian side-necked turtle Chelodina expansa (Chelidae) and cross species amplifications. Marine Genomics. 4(4). 297–300. 3 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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