Stuart C. Willis

2.6k citations
35 papers · 1.2k · h-index 17

Impact in

Papers in

    • Fish Ecology and Management Studies 16
    • Fish biology, ecology, and behavior 14
    • Ichthyology and Marine Biology 6
    • Genetic diversity and population structure 18
    • Genetic and phenotypic traits in livestock 7

Stuart C. Willis

34 papers receiving 1.2k citations

Peers

Stuart C. Willis
Comparison fields: 5 of 61
  • Nature and Landscape Conservation 686
  • Aquatic Science 354
  • Genetics 458
  • Ecological Modeling 55
  • Ecology 317
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Brian R. Kreiser United States
Takahiko Mukai Japan
Omár Domínguez‐Domínguez Mexico
Zhaobin Song China
David S. Portnoy United States
Fabian Herder Germany
José Martín Pujolar Denmark
Agnès Dettaı̈ France
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Citations per field
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Citations per year

Countries citing papers authored by Stuart C. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Stuart C. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart C. Willis. 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 Stuart C. Willis. The network helps show where Stuart C. Willis may publish in the future.

Co-authors

The 25 scholars most cited alongside Stuart C. Willis, 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 Stuart C. Willis Line = papers co-authored together Stuart C. Willis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018265
2 2004243
3 201776
4 200667
5 201262
6 201047
7 201443
8 202138
9 201338
10 201133
11 201733
12 201631
13 201929
14 202023
15 200618
16 202116
17 201516
18 201516
19 201214
20 201912

About Stuart C. Willis

Stuart C. Willis is a scholar working on Nature and Landscape Conservation, Genetics, Aquatic Science, Molecular Biology and Ecology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Fish Ecology and Management Studies (16 papers), Fish biology, ecology, and behavior (14 papers), Fish Biology and Ecology Studies (13 papers), Identification and Quantification in Food (7 papers), Genetic and phenotypic traits in livestock (7 papers), Ichthyology and Marine Biology (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Nature and Landscape Conservation (686 citations), Aquatic Science (354 citations), Genetics (458 citations), Ecological Modeling (55 citations) and Ecology (317 citations). Stuart C. Willis has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Hernán López‐Fernández, Kirk O. Winemiller, David S. Portnoy, Christopher M. Hollenbeck, Jonathan B. Puritz, Izeni Pires Farias, Shannon J. O’Leary, Guillermo Ortı́, Carmen G. Montaña and Nathan R. Lovejoy. Their work appears in journals such as Molecular Phylogenetics and Evolution, Evolutionary Applications, Molecular Ecology Resources, PLoS ONE and Conservation Genetics.

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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