William S. Pearman
Impact in
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- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
- Wildlife Ecology and Conservation
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- Marine and coastal plant biology
- Marine Biology and Ecology Research
Papers in
- Ecology 14
- Microbial Community Ecology and Physiology 7
- Environmental DNA in Biodiversity Studies 5
- Polar Research and Ecology 3
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- Genomics and Phylogenetic Studies 3
- Co-authors
- Olin Silander (3 shared papers)Nikki E. Freed (3 shared papers)Lara Urban (1 shared paper)Alana Alexander (1 shared paper)Ceridwen I. Fraser (8 shared papers)J. David Aguirre (2 shared papers)Libby Liggins (3 shared papers)Erasmo C. Macaya (1 shared paper)
- Journals
- Molecular Ecology Resources (2 papers)FEMS Microbiology Ecology (2 papers)Nature Communications (1 paper)Antarctic Science (1 paper)Environmental DNA (1 paper)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
William S. Pearman
13 papers receiving 235 citations
Peers
Comparison fields: 5 of 49
- Ecology 125
- Oceanography 42
- Ecological Modeling 13
- Genetics 59
- Molecular Biology 93
Countries citing papers authored by William S. Pearman
This map shows the geographic impact of William S. Pearman'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 William S. Pearman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Pearman more than expected).
Fields of papers citing papers by William S. Pearman
This network shows the impact of papers produced by William S. Pearman. 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 William S. Pearman. The network helps show where William S. Pearman may publish in the future.
Co-authors
The 25 scholars most cited alongside William S. Pearman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2022 | 54 | |
| 3 | 2022 | 35 | |
| 4 | 2020 | 31 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2024 | 0 |
About William S. Pearman
William S. Pearman is a scholar working on Ecology, Molecular Biology, Genetics, Oceanography and Insect Science, having authored 19 papers that have together received 242 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (7 papers), Environmental DNA in Biodiversity Studies (5 papers), Marine and coastal plant biology (4 papers), Genetic diversity and population structure (4 papers), Polar Research and Ecology (3 papers), Genomics and Phylogenetic Studies (3 papers), Evolution and Genetic Dynamics (3 papers) and Marine Biology and Ecology Research (3 papers). The work is most often cited by research in Ecology (125 citations), Oceanography (42 citations), Ecological Modeling (13 citations), Genetics (59 citations) and Molecular Biology (93 citations). William S. Pearman has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Olin Silander, Nikki E. Freed, Lara Urban, Alana Alexander, Ceridwen I. Fraser, J. David Aguirre, Libby Liggins, Erasmo C. Macaya, Grant A. Duffy and Stephen Smith. Their work appears in journals such as Molecular Ecology Resources, FEMS Microbiology Ecology, Nature Communications, Antarctic Science and Environmental DNA.
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.