Alice Risely
- Molecular Biology
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Infectious Diseases
- Ecological Modeling top 10%
- Co-authors
- Marcel KlaassenBethany J. HoyeSimone SommerBeáta ÚjváriDavid W. WaiteMarta B. ManserKerstin WilhelmTim Clutton‐Brock
- Topics
- Gut microbiota and health (16 papers)Species Distribution and Climate Change (8 papers)Wildlife Ecology and Conservation (7 papers)
- Journals
- Nature CommunicationsGlobal Change BiologyProceedings of the Royal Society B Biological Sciences
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Alice Risely
26 papers receiving 701 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 301
- Ecology 253
- Ecology, Evolution, Behavior and Systematics 116
- Infectious Diseases 99
- Ecological Modeling 65
Countries citing papers authored by Alice Risely
This map shows the geographic impact of Alice Risely'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 Alice Risely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Risely more than expected).
Fields of papers citing papers by Alice Risely
This network shows the impact of papers produced by Alice Risely. 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 Alice Risely. The network helps show where Alice Risely may publish in the future.
Co-authorship network of co-authors of Alice Risely
This figure shows the co-authorship network connecting the top 25 collaborators of Alice Risely. A scholar is included among the top collaborators of Alice Risely 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 Alice Risely. Alice Risely 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 53 | |
| 14 | Applying the core microbiome to understand host–microbe systemsbreakdown → | 222 |
| 15 | 18 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 43 | |
| 19 | 13 | |
| 20 | 22 |
About Alice Risely
Alice Risely is a scholar working on Ecological Modeling, Microbiology and Ecology, Evolution, Behavior and Systematics, having authored 29 papers that have together received 707 indexed citations. Recurring topics across this work include Gut microbiota and health (16 papers), Species Distribution and Climate Change (8 papers) and Wildlife Ecology and Conservation (7 papers). The work is most often cited by research in Ecological Modeling (65 citations), Ecology (253 citations) and Microbiology (41 citations). Alice Risely has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Marcel Klaassen, Bethany J. Hoye, Simone Sommer, Beáta Újvári, David W. Waite, Marta B. Manser, Kerstin Wilhelm, Tim Clutton‐Brock, Will Cresswell and Mark F. Richardson. Their work appears in journals such as Nature Communications, Global Change Biology and Proceedings of the Royal Society B Biological Sciences.
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.