Daniel J. MacGuigan

35 total papers · 540 total citations
20 papers, 273 citations indexed

About

Daniel J. MacGuigan is a scholar working on Genetics, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Daniel J. MacGuigan has authored 20 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 11 papers in Nature and Landscape Conservation and 8 papers in Molecular Biology. Recurrent topics in Daniel J. MacGuigan's work include Genetic diversity and population structure (14 papers), Fish Ecology and Management Studies (7 papers) and Genomics and Phylogenetic Studies (7 papers). Daniel J. MacGuigan is often cited by papers focused on Genetic diversity and population structure (14 papers), Fish Ecology and Management Studies (7 papers) and Genomics and Phylogenetic Studies (7 papers). Daniel J. MacGuigan collaborates with scholars based in United States, China and Canada. Daniel J. MacGuigan's co-authors include Thomas J. Near, Alex Dornburg, Elizabeth H. Schultheis, Chris Jones, Carl D. Struthers, E. Davis Parker, Richard E. Glor, Julienne Ng, Matthew P. Harris and M. Brent Hawkins and has published in prestigious journals such as Current Biology, Evolution and Systematic Biology.

In The Last Decade

Daniel J. MacGuigan

18 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. MacGuigan 110 108 99 76 51 20 273
Steven M. Mussmann 96 0.9× 182 1.7× 82 0.8× 119 1.6× 51 1.0× 22 317
Carlos Pedraza‐Lara 88 0.8× 65 0.6× 41 0.4× 109 1.4× 66 1.3× 26 258
Tjard Bergmann 51 0.5× 101 0.9× 135 1.4× 119 1.6× 63 1.2× 14 301
Christelle Leung 49 0.4× 131 1.2× 105 1.1× 97 1.3× 76 1.5× 22 308
Matthew Morris 126 1.1× 140 1.3× 43 0.4× 127 1.7× 70 1.4× 15 294
Tyler K. Chafin 71 0.6× 181 1.7× 104 1.1× 119 1.6× 49 1.0× 20 308
C. Grace Sprehn 44 0.4× 125 1.2× 68 0.7× 70 0.9× 55 1.1× 10 230
Štěpánka Říčanová 84 0.8× 114 1.1× 66 0.7× 142 1.9× 45 0.9× 13 267
Matthew G. Girard 140 1.3× 80 0.7× 112 1.1× 74 1.0× 25 0.5× 20 280
Madeleine Carruthers 95 0.9× 113 1.0× 76 0.8× 90 1.2× 31 0.6× 13 257

Countries citing papers authored by Daniel J. MacGuigan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. MacGuigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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