Katherine M. Strickler
- Ecology top 1%
- Molecular Biology top 5%
- Nature and Landscape Conservation top 5%
- Ecological Modeling top 2%
- Global and Planetary Change top 10%
- Co-authors
- Caren S. GoldbergAlexander K. FremierDavid S. PilliodMatthew B. LaramieCameron R. TurnerSara J. Oyler‐McCanceMelanie A. MurphyAnna M. McKee
- Topics
- Environmental DNA in Biodiversity Studies (8 papers)Microbial Community Ecology and Physiology (6 papers)Identification and Quantification in Food (4 papers)
- Journals
- Environmental Science & TechnologyThe Science of The Total EnvironmentBiological Conservation
- Partner nations
- United StatesJapanDenmark
In The Last Decade
Katherine M. Strickler
12 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Ecology 1.8k
- Molecular Biology 1.4k
- Nature and Landscape Conservation 337
- Ecological Modeling 274
- Global and Planetary Change 144
Countries citing papers authored by Katherine M. Strickler
This map shows the geographic impact of Katherine M. Strickler'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 Katherine M. Strickler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine M. Strickler more than expected).
Fields of papers citing papers by Katherine M. Strickler
This network shows the impact of papers produced by Katherine M. Strickler. 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 Katherine M. Strickler. The network helps show where Katherine M. Strickler may publish in the future.
Co-authorship network of co-authors of Katherine M. Strickler
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine M. Strickler. A scholar is included among the top collaborators of Katherine M. Strickler 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 Katherine M. Strickler. Katherine M. Strickler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 55 | |
| 3 | 128 | |
| 4 | Critical considerations for the application of environmental | 754 |
| 5 | 16 | |
| 6 | 44 | |
| 7 | Quantifying effects of UV-B, temperature, and pH on eDNA degradation in aquatic microcosmsbreakdown → | 618 |
| 8 | 195 | |
| 9 | 7 | |
| 10 | 44 | |
| 11 | 3 | |
| 12 | 1 |
About Katherine M. Strickler
Katherine M. Strickler is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (8 papers), Microbial Community Ecology and Physiology (6 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Ecology (1.8k citations), Ecological Modeling (274 citations) and Nature and Landscape Conservation (337 citations). Katherine M. Strickler has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Caren S. Goldberg, Alexander K. Fremier, David S. Pilliod, Matthew B. Laramie, Cameron R. Turner, Sara J. Oyler‐McCance, Melanie A. Murphy, Anna M. McKee, Lisette P. Waits and Kristy Deiner. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Biological Conservation.
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.