Casey M. Ryan

11.5k total citations · 1 hit paper
86 papers, 3.7k citations indexed

About

Casey M. Ryan is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Casey M. Ryan has authored 86 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 21 papers in Nature and Landscape Conservation and 21 papers in Ecology. Recurrent topics in Casey M. Ryan's work include Conservation, Biodiversity, and Resource Management (39 papers), Land Use and Ecosystem Services (24 papers) and Ecology and Vegetation Dynamics Studies (14 papers). Casey M. Ryan is often cited by papers focused on Conservation, Biodiversity, and Resource Management (39 papers), Land Use and Ecosystem Services (24 papers) and Ecology and Vegetation Dynamics Studies (14 papers). Casey M. Ryan collaborates with scholars based in United Kingdom, United States and Mozambique. Casey M. Ryan's co-authors include Mathew Williams, Edward T. A. Mitchard, Janet Fisher, Iain M. McNicol, John Grace, Emily Woollen, Robert M. Rees, Neha Joshi, Iain Woodhouse and Ole Mertz and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Casey M. Ryan

81 papers receiving 3.5k citations

Hit Papers

A Review of the Application of Optical and Radar Remote S... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Casey M. Ryan United Kingdom 31 2.0k 1.2k 928 792 343 86 3.7k
Antonio Trabucco Italy 31 1.7k 0.9× 1.0k 0.9× 878 0.9× 416 0.5× 407 1.2× 69 4.4k
Bronson W. Griscom United States 30 2.2k 1.1× 1.2k 1.0× 971 1.0× 614 0.8× 624 1.8× 52 4.1k
Paula Meli Brazil 24 1.8k 0.9× 956 0.8× 1.1k 1.1× 342 0.4× 417 1.2× 67 3.6k
Márcia N. Macedo United States 31 3.3k 1.6× 1.6k 1.3× 1.3k 1.4× 399 0.5× 657 1.9× 63 5.6k
Liana O. Anderson Brazil 38 5.0k 2.5× 2.4k 2.0× 1.3k 1.4× 828 1.0× 500 1.5× 129 6.8k
Carlos Souza United States 42 4.4k 2.2× 2.6k 2.2× 1.3k 1.4× 1.1k 1.4× 352 1.0× 88 6.4k
Peter Holmgren Sweden 17 1.6k 0.8× 1.0k 0.9× 540 0.6× 431 0.5× 327 1.0× 26 2.8k
Robert J. Zomer China 23 1.8k 0.9× 1.3k 1.1× 814 0.9× 506 0.6× 943 2.7× 44 4.4k
Claudia Stickler United States 20 2.6k 1.3× 967 0.8× 429 0.5× 338 0.4× 364 1.1× 32 4.1k
Cheikh Mbow Senegal 36 2.9k 1.4× 2.2k 1.9× 638 0.7× 894 1.1× 765 2.2× 142 6.2k

Countries citing papers authored by Casey M. Ryan

Since Specialization
Citations

This map shows the geographic impact of Casey M. Ryan'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 Casey M. Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey M. Ryan more than expected).

Fields of papers citing papers by Casey M. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey M. Ryan. 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 Casey M. Ryan. The network helps show where Casey M. Ryan may publish in the future.

Co-authorship network of co-authors of Casey M. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Casey M. Ryan. A scholar is included among the top collaborators of Casey M. Ryan 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 Casey M. Ryan. Casey M. Ryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rodríguez‐Veiga, Pedro, João M. B. Carreiras, S. Quegan, et al.. (2025). Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Scientific Reports. 15(1). 41744–41744.
2.
Dexter, Kyle G., R. Toby Pennington, Ítalo Antônio Cotta Coutinho, et al.. (2025). Satellite remote sensing can operationalise the IUCN Global Ecosystem Typology in the biome-diverse north-east of Brazil. Frontiers of Biogeography. 18. 1 indexed citations
4.
Godlee, John L., et al.. (2024). Tree species diversity drives the land surface phenology of seasonally dry tropical woodlands. Journal of Ecology. 112(9). 1978–1991. 5 indexed citations
5.
Dexter, Kyle G., et al.. (2024). Resilience, remoteness and war shape the land cover dynamics in one of the world's largest miombo woodlands. Trees Forests and People. 17. 100623–100623. 2 indexed citations
6.
Ryan, Casey M., Anamika Das, Mahesh Poudyal, et al.. (2023). Hundreds of millions of people in the tropics need both wild harvests and other forms of economic development for their well-being. One Earth. 7(2). 311–324. 9 indexed citations
7.
Ryan, Casey M., et al.. (2022). Tree harvesting is not the same as deforestation. Nature Climate Change. 12(4). 307–309. 6 indexed citations
8.
Roberts, J. Murray, Isla H. Myers‐Smith, Mathew Williams, et al.. (2022). Incorporating dead material in ecosystem assessments and projections. Nature Climate Change. 13(2). 113–115. 15 indexed citations
10.
Ryan, Casey M., et al.. (2020). In defence of simplified PES designs. Nature Sustainability. 3(6). 426–427. 14 indexed citations
11.
Godlee, John L., Francisco M. P. Gonçalves, Jonathan Ilunga Muledi, et al.. (2020). Diversity and Structure of an Arid Woodland in Southwest Angola, with Comparison to the Wider Miombo Ecoregion. Diversity. 12(4). 140–140. 15 indexed citations
12.
Fisher, Janet, et al.. (2020). Social as much as environmental: the drivers of tree biomass in smallholder forest landscape restoration programmes. Environmental Research Letters. 15(10). 104008–104008. 13 indexed citations
13.
Mitchard, Edward T. A., et al.. (2018). The mesic savannas of the Bateke Plateau: carbon stocks and floristic composition. Biotropica. 50(6). 868–880. 10 indexed citations
14.
Rasmussen, Laura Vang, Brendan Coolsaet, Adrian Martin, et al.. (2018). Publisher Correction: Social-ecological outcomes of agricultural intensification. Nature Sustainability. 1(7). 376–376. 1 indexed citations
15.
Martin, Adrian, Brendan Coolsaet, Neil Dawson, et al.. (2018). Land use intensification : The promise of sustainability and the reality of trade-offs. UEA Digital Repository (University of East Anglia). 14 indexed citations
16.
Rasmussen, Laura Vang, Brendan Coolsaet, Adrian Martin, et al.. (2018). Social-ecological outcomes of agricultural intensification. Nature Sustainability. 1(6). 275–282. 230 indexed citations
17.
McNicol, Iain M., Casey M. Ryan, & Edward T. A. Mitchard. (2018). Carbon losses from deforestation and widespread degradation offset by extensive growth in African woodlands. Nature Communications. 9(1). 3045–3045. 99 indexed citations
18.
Ziegler, Alan D., Jacob Phelps, Kai Wan Yuen, et al.. (2012). Carbon outcomes of major land‐cover transitions in SE Asia: great uncertainties and REDD+ policy implications. Global Change Biology. 18(10). 3087–3099. 158 indexed citations
19.
Ryan, Casey M., Mathew Williams, & John Grace. (2011). Above- and Belowground Carbon Stocks in a Miombo Woodland Landscape of Mozambique. Biotropica. 43(4). 423–432. 160 indexed citations
20.
Ryan, Casey M. & Mathew Williams. (2010). How does fire intensity and frequency affect miombo woodland tree populations and biomass?. Ecological Applications. 21(1). 48–60. 151 indexed citations

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.

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