Daniel Powell

1.2k total citations
48 papers, 819 citations indexed

About

Daniel Powell is a scholar working on Ecology, Molecular Biology and Aquatic Science. According to data from OpenAlex, Daniel Powell has authored 48 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 9 papers in Molecular Biology and 9 papers in Aquatic Science. Recurrent topics in Daniel Powell's work include Fecal contamination and water quality (7 papers), Aquaculture Nutrition and Growth (7 papers) and Insect and Pesticide Research (4 papers). Daniel Powell is often cited by papers focused on Fecal contamination and water quality (7 papers), Aquaculture Nutrition and Growth (7 papers) and Insect and Pesticide Research (4 papers). Daniel Powell collaborates with scholars based in Australia, Sweden and United States. Daniel Powell's co-authors include Abigail Elizur, Wayne Knibb, Warish Ahmed, Ted Gardner, Ashantha Goonetilleke, Nguyen Hong Nguyen, Wayne A. O’Connor, Jane Quinn, Martin N. Andersson and David A. Raftos and has published in prestigious journals such as The Science of The Total Environment, Water Research and Scientific Reports.

In The Last Decade

Daniel Powell

44 papers receiving 801 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 Powell Australia 17 222 200 165 159 141 48 819
Feng Zhao China 17 207 0.9× 237 1.2× 124 0.8× 61 0.4× 264 1.9× 96 1.0k
André Dumas Canada 13 135 0.6× 628 3.1× 94 0.6× 210 1.3× 60 0.4× 30 1.0k
Lisa Jacquin France 21 528 2.4× 193 1.0× 109 0.7× 45 0.3× 60 0.4× 53 1.2k
Melony J. Sellars Australia 20 391 1.8× 718 3.6× 246 1.5× 92 0.6× 204 1.4× 66 1.2k
Tamsyn M. Uren Webster United Kingdom 21 390 1.8× 211 1.1× 125 0.8× 53 0.3× 392 2.8× 37 1.5k
Greg J. Coman Australia 24 553 2.5× 1.0k 5.2× 224 1.4× 53 0.3× 138 1.0× 60 1.5k
Craig A. Watson United States 16 204 0.9× 375 1.9× 49 0.3× 21 0.1× 38 0.3× 59 731
Frank A. Chapman United States 23 386 1.7× 892 4.5× 172 1.0× 43 0.3× 145 1.0× 62 1.6k
J. N. Rodrìguez France 23 128 0.6× 658 3.3× 315 1.9× 20 0.1× 225 1.6× 70 1.6k

Countries citing papers authored by Daniel Powell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Powell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Powell

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Powell. A scholar is included among the top collaborators of Daniel Powell 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 Powell. Daniel Powell 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.
Premachandra, H.K.A., et al.. (2024). Advancements in noninvasive koala monitoring through combining Chlamydia detection with a targeted koala genotyping assay. Scientific Reports. 14(1). 30371–30371. 1 indexed citations
2.
Powell, Daniel, Benjamin Schwessinger, & Céline Frère. (2023). Whole‐mitochondrial genomes of Nannizziopsis provide insights in evolution and detection. Ecology and Evolution. 13(3). e9955–e9955. 3 indexed citations
3.
Frère, Céline, Kasha Strickland, Anthony Schultz, et al.. (2023). Evaluating the genetic consequences of population subdivision as it unfolds and how to best mitigate them: A rare story about koalas. Molecular Ecology. 32(9). 2174–2185. 3 indexed citations
4.
Price, Erin P., Derek S. Sarovich, Thu Nguyen Dang, et al.. (2022). Comparative genomics of Nocardia seriolae reveals recent importation and subsequent widespread dissemination in mariculture farms in the South Central Coast region, Vietnam. Microbial Genomics. 8(7). 1 indexed citations
5.
Yuvaraj, Jothi Kumar, Ewald Große‐Wilde, Daniel Powell, et al.. (2022). Odorant receptor orthologues in conifer‐feeding beetles display conserved responses to ecologically relevant odours. Molecular Ecology. 31(13). 3693–3707. 30 indexed citations
6.
Perski, Olga, Jan Keller, Dimitra Kale, et al.. (2022). Understanding health behaviours in context: A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours. Refubium (Universitätsbibliothek der Freien Universität Berlin). 7 indexed citations
7.
Andersson, Martin N., Carsten Kirkeby, Daniel Powell, et al.. (2022). Weak population genetic structure in Eurasian spruce bark beetle over large regional scales in Sweden. Ecology and Evolution. 12(7). e9078–e9078. 8 indexed citations
8.
9.
Hou, Xiaoqing, Dandan Zhang, Daniel Powell, et al.. (2022). Ionotropic receptors in the turnip moth Agrotis segetum respond to repellent medium-chain fatty acids. BMC Biology. 20(1). 34–34. 29 indexed citations
10.
Powell, Daniel, Ewald Große‐Wilde, Paal Krokene, et al.. (2021). A highly-contiguous genome assembly of the Eurasian spruce bark beetle, Ips typographus, provides insight into a major forest pest. Communications Biology. 4(1). 1059–1059. 33 indexed citations
11.
Nocillado, Josephine, et al.. (2020). Development and validation of a competitive hybrid ELISA for Seriola lalandi Vitellogenin. Aquaculture Research. 51(6). 2205–2215. 1 indexed citations
12.
13.
O’Connor, Wayne A., et al.. (2016). Reproductive neuropeptides that stimulate spawning in the Sydney Rock Oyster (Saccostrea glomerata). Peptides. 82. 109–119. 33 indexed citations
14.
Powell, Daniel, Wayne Knibb, Nguyen Hong Nguyen, & Abigail Elizur. (2016). Transcriptional Profiling of Banana ShrimpFenneropenaeus merguiensiswith Differing Levels of Viral Load. Integrative and Comparative Biology. 56(6). 1131–1143. 14 indexed citations
15.
Vernon, Margaret M., Daniel Powell, Amy Schultz, Thorsten Simon, & Dan Doherty. (2015). Is routine preoperative transthoracic echocardiography necessary in newborns with myelomeningocele?. Journal of Perinatology. 35(10). 842–845. 3 indexed citations
16.
Knibb, Wayne, et al.. (2015). Yearly, pond, lineage and family variation of hepatopancreatic parvo-like virus (HPV) copy number in banana shrimp Fenneropenaeus merguiensis. Journal of Invertebrate Pathology. 128. 73–79. 13 indexed citations
17.
Ahmed, Warish, Ashantha Goonetilleke, Daniel Powell, Kanika Chauhan, & Ted Gardner. (2009). Comparison of molecular markers to detect fresh sewage in environmental waters. QUT ePrints (Queensland University of Technology). 1 indexed citations
18.
Ahmed, Warish, Ashantha Goonetilleke, Daniel Powell, Kanika Chauhan, & Ted Gardner. (2009). Comparison of molecular markers to detect fresh sewage in environmental waters. Water Research. 43(19). 4908–4917. 61 indexed citations
19.
Ahmed, Warish, et al.. (2007). Evaluation of Bacteroides markers for the detection of human faecal pollution. Letters in Applied Microbiology. 46(2). 237–242. 3 indexed citations
20.

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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