Mitzy Pepper
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Global and Planetary Change top 5%
- Amphibian and Reptile Biology
Papers in
-
- Amphibian and Reptile Biology 19
-
- Species Distribution and Climate Change 16
- Co-authors
- J. Scott Keogh (19 shared papers)Paul Doughty (11 shared papers)Matthew K. Fujita (4 shared papers)Craig Moritz (2 shared papers)Simon Y. W. Ho (1 shared paper)Mark N. Hutchinson (2 shared papers)Richard Arculus (1 shared paper)Paul M. Oliver (1 shared paper)
- Journals
- Molecular Phylogenetics and Evolution (5 papers)Journal of Biogeography (4 papers)PLoS ONE (3 papers)Molecular Ecology (2 papers)Zootaxa (2 papers)
- Partner nations
- AustraliaUnited StatesSouth Africa
In The Last Decade
Mitzy Pepper
22 papers receiving 598 citations
Peers
Comparison fields: 5 of 49
- Ecological Modeling 309
- Global and Planetary Change 313
- Genetics 335
- Nature and Landscape Conservation 141
- Paleontology 78
Countries citing papers authored by Mitzy Pepper
This map shows the geographic impact of Mitzy Pepper'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 Mitzy Pepper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitzy Pepper more than expected).
Fields of papers citing papers by Mitzy Pepper
This network shows the impact of papers produced by Mitzy Pepper. 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 Mitzy Pepper. The network helps show where Mitzy Pepper may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitzy Pepper, 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 | 2011 | 78 | |
| 2 | 2013 | 77 | |
| 3 | 2011 | 61 | |
| 4 | 2014 | 52 | |
| 5 | 2006 | 51 | |
| 6 | 2015 | 50 | |
| 7 | 2011 | 46 | |
| 8 | 2021 | 35 | |
| 9 | 2008 | 31 | |
| 10 | 2013 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2010 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2016 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 10 | |
| 18 | 2015 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2018 | 2 |
About Mitzy Pepper
Mitzy Pepper is a scholar working on Global and Planetary Change, Ecological Modeling, Genetics, Nature and Landscape Conservation and Molecular Biology, having authored 22 papers that have together received 627 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (19 papers), Species Distribution and Climate Change (16 papers), Genetic diversity and population structure (10 papers), Ecology and Vegetation Dynamics Studies (5 papers), Genomics and Phylogenetic Studies (5 papers), Lepidoptera: Biology and Taxonomy (3 papers), Spider Taxonomy and Behavior Studies (2 papers) and Fossil Insects in Amber (1 paper). The work is most often cited by research in Ecological Modeling (309 citations), Global and Planetary Change (313 citations), Genetics (335 citations), Nature and Landscape Conservation (141 citations) and Paleontology (78 citations). Mitzy Pepper has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include J. Scott Keogh, Paul Doughty, Matthew K. Fujita, Craig Moritz, Simon Y. W. Ho, Mark N. Hutchinson, Richard Arculus, Paul M. Oliver, Patrick Couper and Martin J. Whiting. Their work appears in journals such as Molecular Phylogenetics and Evolution, Journal of Biogeography, PLoS ONE, Molecular Ecology and Zootaxa.
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.