Joanna G. Larson
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics top 5%
- Molecular Biology
- Ecology top 10%
- Paleontology top 5%
- Co-authors
- Michael C. GründlerDaniel L. RaboskyPascal O. TitleCarlos AndersonJoseph W. BrownHuateng HuangJeff J. ShiHopi E. Hoekstra
- Topics
- Amphibian and Reptile Biology (10 papers)Species Distribution and Climate Change (5 papers)Animal Behavior and Reproduction (4 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Joanna G. Larson
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Ecology, Evolution, Behavior and Systematics 611
- Genetics 463
- Molecular Biology 296
- Ecology 248
- Paleontology 242
Countries citing papers authored by Joanna G. Larson
This map shows the geographic impact of Joanna G. Larson'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 Joanna G. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna G. Larson more than expected).
Fields of papers citing papers by Joanna G. Larson
This network shows the impact of papers produced by Joanna G. Larson. 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 Joanna G. Larson. The network helps show where Joanna G. Larson may publish in the future.
Co-authorship network of co-authors of Joanna G. Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna G. Larson. A scholar is included among the top collaborators of Joanna G. Larson 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 Joanna G. Larson. Joanna G. Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A meta-analysis on global change drivers and the risk of infectious diseasebreakdown → | 58 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | Ecological interactions between arthropods and small vertebrates in a lowland Amazon rainforest | 20 |
| 13 | 13 | |
| 14 | 0 | |
| 15 | 40 | |
| 16 | 710 | |
| 17 | 214 | |
| 18 | 9 | |
| 19 | 140 | |
| 20 | 3 |
About Joanna G. Larson
Joanna G. Larson is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Global and Planetary Change, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (10 papers), Species Distribution and Climate Change (5 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Paleontology (242 citations), Ecology, Evolution, Behavior and Systematics (611 citations) and Ecological Modeling (134 citations). Joanna G. Larson has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Michael C. Gründler, Daniel L. Rabosky, Pascal O. Title, Carlos Anderson, Joseph W. Brown, Huateng Huang, Jeff J. Shi, Hopi E. Hoekstra, Sacha Vignieri and Catherine R. Linnen. Their work appears in journals such as Nature, Science and Blood.
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.