Emily Curd
Impact in
- Ecology top 10%
- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
Papers in
- Ecology 12
- Microbial Community Ecology and Physiology 8
- Environmental DNA in Biodiversity Studies 8
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- Identification and Quantification in Food 4
- Gut microbiota and health 3
- Protist diversity and phylogeny 2
- Co-authors
- Thomas B. Smith (3 shared papers)Huiying Li (4 shared papers)Jennifer B. H. Martiny (1 shared paper)Paul H. Barber (4 shared papers)Robert K. Wayne (4 shared papers)Zachary Gold (4 shared papers)Rachel S. Meyer (2 shared papers)Teia M. Schweizer (2 shared papers)
- Journals
- Environmental DNA (2 papers)PeerJ (1 paper)Microbial Ecology (1 paper)Methods in Ecology and Evolution (1 paper)Palaios (1 paper)
- Partner nations
- United StatesNorwaySpain
In The Last Decade
Emily Curd
21 papers receiving 423 citations
Peers
Comparison fields: 5 of 75
- Ecology 283
- Ecological Modeling 18
- Soil Science 39
- Agronomy and Crop Science 39
- Molecular Biology 206
Countries citing papers authored by Emily Curd
This map shows the geographic impact of Emily Curd'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 Emily Curd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Curd more than expected).
Fields of papers citing papers by Emily Curd
This network shows the impact of papers produced by Emily Curd. 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 Emily Curd. The network helps show where Emily Curd may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Curd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2018 | 82 | |
| 3 | 2021 | 75 | |
| 4 | 2010 | 54 | |
| 5 | 2022 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2011 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2003 | 3 | |
| 19 | Algorithms for Designing the Minimal Set of Multiplexed Degenerate Universal Tagged Primers for RNA Virus Detection. | 2008 | 1 |
| 20 | 2019 | 1 |
About Emily Curd
Emily Curd is a scholar working on Ecology, Molecular Biology, Dermatology, Pollution and Anthropology, having authored 22 papers that have together received 439 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Environmental DNA in Biodiversity Studies (8 papers), Identification and Quantification in Food (4 papers), Dermatology and Skin Diseases (3 papers), Gut microbiota and health (3 papers), Acne and Rosacea Treatments and Effects (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Ecology (283 citations), Ecological Modeling (18 citations), Soil Science (39 citations), Agronomy and Crop Science (39 citations) and Molecular Biology (206 citations). Emily Curd has collaborated with scholars based in United States, Norway and Spain. Frequent co-authors include Thomas B. Smith, Huiying Li, Jennifer B. H. Martiny, Paul H. Barber, Robert K. Wayne, Zachary Gold, Rachel S. Meyer, Teia M. Schweizer, Benjamin W. Frable and Baochen Shi. Their work appears in journals such as Environmental DNA, PeerJ, Microbial Ecology, Methods in Ecology and Evolution and Palaios.
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.