Sandi Willows‐Munro

1.3k citations
63 papers · 801 · h-index 17

Impact in

Papers in

    • Environmental DNA in Biodiversity Studies 14
    • Wildlife Ecology and Conservation 9
    • Animal Ecology and Behavior Studies 6
    • Identification and Quantification in Food 16

Sandi Willows‐Munro

57 papers receiving 780 citations

Peers

Sandi Willows‐Munro
Comparison fields: 5 of 79
  • Ecological Modeling 103
  • Paleontology 120
  • Ecology 345
  • Ecology, Evolution, Behavior and Systematics 218
  • Genetics 266
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Citations per year

Countries citing papers authored by Sandi Willows‐Munro

Since Specialization
Citations

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

Fields of papers citing papers by Sandi Willows‐Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandi Willows‐Munro. 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 Sandi Willows‐Munro. The network helps show where Sandi Willows‐Munro may publish in the future.

Co-authors

The 25 scholars most cited alongside Sandi Willows‐Munro, 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 Sandi Willows‐Munro Line = papers co-authored together Sandi Willows‐Munro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 200658
3 200554
4 201842
5 201134
6 201827
7 201926
8 201624
9 201722
10 200621
11 202120
12 201920
13 200920
14 202120
15 201319
16 201718
17 201318
18 201514
19 202314
20 202113

About Sandi Willows‐Munro

Sandi Willows‐Munro is a scholar working on Ecology, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 63 papers that have together received 801 indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Identification and Quantification in Food (16 papers), Environmental DNA in Biodiversity Studies (14 papers), Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (9 papers), Animal Ecology and Behavior Studies (6 papers), Plant and animal studies (6 papers) and Bat Biology and Ecology Studies (6 papers). The work is most often cited by research in Ecological Modeling (103 citations), Paleontology (120 citations), Ecology (345 citations), Ecology, Evolution, Behavior and Systematics (218 citations) and Genetics (266 citations). Sandi Willows‐Munro has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Conrad A. Matthee, Terence J. Robinson, Johan C. Groeneveld, Colleen T. Downs, M. Corrie Schoeman, Connal Eardley, Dirk Swanevelder, M.R. Perrin, Jessica M. da Silva and Geeta N. Eick. Their work appears in journals such as Ecology and Evolution, PeerJ, Molecular Phylogenetics and Evolution, African Journal of Marine Science and PLoS ONE.

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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