Kate Perez
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
-
- Environmental DNA in Biodiversity Studies
Papers in
- Ecology 6
- Environmental DNA in Biodiversity Studies 6
- Forest Insect Ecology and Management 1
-
- Species Distribution and Climate Change 5
- Co-authors
- David W.L. (2 shared papers)Paul D. N. Hebert (4 shared papers)William J. Muller (2 shared papers)Valerie Levesque‐Beaudin (3 shared papers)Sujeevan Ratnasingham (3 shared papers)Jeremy R deWaard (3 shared papers)Geoffrey A. Wood (1 shared paper)Crystal N Sobel (2 shared papers)
- Journals
- PLoS ONE (3 papers)Lipids in Health and Disease (1 paper)Zootaxa (1 paper)GigaScience (1 paper)The Journal of Nutritional Biochemistry (1 paper)
- Partner nations
- CanadaUnited StatesArgentina
In The Last Decade
Kate Perez
9 papers receiving 242 citations
Peers
Comparison fields: 5 of 46
- Ecological Modeling 60
- Ecology 109
- Ecology, Evolution, Behavior and Systematics 66
- Insect Science 41
- Nutrition and Dietetics 47
Countries citing papers authored by Kate Perez
This map shows the geographic impact of Kate Perez'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 Kate Perez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Perez more than expected).
Fields of papers citing papers by Kate Perez
This network shows the impact of papers produced by Kate Perez. 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 Kate Perez. The network helps show where Kate Perez may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Perez, 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 | 2018 | 62 | |
| 2 | 2012 | 51 | |
| 3 | 2022 | 28 | |
| 4 | 2018 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2014 | 21 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 0 |
About Kate Perez
Kate Perez is a scholar working on Ecology, Ecological Modeling, Genetics, Ecology, Evolution, Behavior and Systematics and Nutrition and Dietetics, having authored 10 papers that have together received 248 indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (6 papers), Species Distribution and Climate Change (5 papers), Fatty Acid Research and Health (2 papers), Plant and animal studies (2 papers), Lepidoptera: Biology and Taxonomy (2 papers), Fire effects on ecosystems (1 paper), Insect and Arachnid Ecology and Behavior (1 paper) and Forest Insect Ecology and Management (1 paper). The work is most often cited by research in Ecological Modeling (60 citations), Ecology (109 citations), Ecology, Evolution, Behavior and Systematics (66 citations), Insect Science (41 citations) and Nutrition and Dietetics (47 citations). Kate Perez has collaborated with scholars based in Canada, United States and Argentina. Frequent co-authors include David W.L., Paul D. N. Hebert, William J. Muller, Valerie Levesque‐Beaudin, Sujeevan Ratnasingham, Jeremy R deWaard, Geoffrey A. Wood, Crystal N Sobel, Jing X. Kang and Shannon Clarke. Their work appears in journals such as PLoS ONE, Lipids in Health and Disease, Zootaxa, GigaScience and The Journal of Nutritional Biochemistry.
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.