Daniel J. Prince

596 citations
9 papers · 322 · h-index 6

Impact in

Papers in

Daniel J. Prince

8 papers receiving 321 citations

Peers

Daniel J. Prince
Comparison fields: 5 of 48
  • Nature and Landscape Conservation 191
  • Genetics 173
  • Microbiology 29
  • Ecological Modeling 20
  • Ecology 118
Replace Katherine A. Farquharson with:
Katherine A. Farquharson Australia
Catherine Clabby Ireland
Jennifer D. Antonides United States
Giulia Riccioni Italy
John A. Kronenberger United States
Carine Delaunay France
Sol Heber New Zealand
Frank Spikmans Netherlands
Gergin Blagoev Canada
Stefano Mazzotti Italy
Daniel J. Prince relative to Katherine A. Farquharson Australia Katherine A. Farquharson's profile →
Citations per field
00.5×
Katherine A. Farquharson · 1×
Citations per year

Countries citing papers authored by Daniel J. Prince

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Prince'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. Prince 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. Prince more than expected).

Fields of papers citing papers by Daniel J. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Prince, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Prince Line = papers co-authored together Daniel J. Prince links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2017153
2 201899
3 201734
4 202219
5 20176
6 20055
7 20174
8 20202
9 20230

About Daniel J. Prince

Daniel J. Prince is a scholar working on Nature and Landscape Conservation, Ecology, Genetics, Molecular Biology and Aquatic Science, having authored 9 papers that have together received 322 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (4 papers), Genetic diversity and population structure (3 papers), Environmental DNA in Biodiversity Studies (2 papers), Marine animal studies overview (1 paper), Water Quality and Resources Studies (1 paper), Forensic and Genetic Research (1 paper), Fish Biology and Ecology Studies (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Nature and Landscape Conservation (191 citations), Genetics (173 citations), Microbiology (29 citations), Ecological Modeling (20 citations) and Ecology (118 citations). Daniel J. Prince has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Michael R. Miller, Tasha Q. Thompson, Sean O’Rourke, İsmail K. Sağlam, Omar A. Ali, Adrian P. Spidle, Virginia L. Butler, Matthew R. Sloat, Michael A. Banks and Antonia Rodrigues. Their work appears in journals such as Freshwater Science, Evolutionary Applications, G3 Genes Genomes Genetics, Biological Journal of the Linnean Society and Proceedings of the National Academy of Sciences.

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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