Alexander Shenkin

3.2k total citations
53 papers, 1.5k citations indexed

About

Alexander Shenkin is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Alexander Shenkin has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nature and Landscape Conservation, 28 papers in Global and Planetary Change and 17 papers in Ecology. Recurrent topics in Alexander Shenkin's work include Forest ecology and management (20 papers), Plant Water Relations and Carbon Dynamics (19 papers) and Ecology and Vegetation Dynamics Studies (16 papers). Alexander Shenkin is often cited by papers focused on Forest ecology and management (20 papers), Plant Water Relations and Carbon Dynamics (19 papers) and Ecology and Vegetation Dynamics Studies (16 papers). Alexander Shenkin collaborates with scholars based in United Kingdom, United States and Peru. Alexander Shenkin's co-authors include Yadvinder Malhi, Lisa Patrick Bentley, Toby Jackson, Gregory P. Asner, Norma Salinas, Roberta E. Martin, Brian J. Enquist, Mathias Disney, Martin Herold and Alvaro Lau and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Ecology.

In The Last Decade

Alexander Shenkin

51 papers receiving 1.4k citations

Peers

Alexander Shenkin
Lorenz Walthert Switzerland
Vincent Kint Belgium
Charles H. Perry United States
David L.R. Affleck United States
Alexander Shenkin
Citations per year, relative to Alexander Shenkin Alexander Shenkin (= 1×) peers Luciana F. Alves

Countries citing papers authored by Alexander Shenkin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Shenkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Shenkin. 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 Alexander Shenkin. The network helps show where Alexander Shenkin may publish in the future.

Co-authorship network of co-authors of Alexander Shenkin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Shenkin. A scholar is included among the top collaborators of Alexander Shenkin 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 Alexander Shenkin. Alexander Shenkin 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.
Shenkin, Alexander, Phil Wilkes, Mathias Disney, et al.. (2025). Investigating the accuracy of tropical woody stem CO 2 efflux estimates: scaling methods, and vertical and diel variation. New Phytologist. 246(5). 2004–2014. 1 indexed citations
2.
Doughty, Christopher E., Patrick Burns, Yadvinder Malhi, et al.. (2024). Satellite Derived Trait Data Slightly Improves Tropical Forest Biomass, NPP and GPP Estimates. Journal of Geophysical Research Biogeosciences. 129(7).
3.
Śmigaj, Magdalena, et al.. (2024). Deriving Vegetation Indices for 3D Canopy Chlorophyll Content Mapping Using Radiative Transfer Modelling. Forests. 15(11). 1878–1878. 2 indexed citations
4.
Gauci, Vincent, Sunitha Pangala, Alexander Shenkin, et al.. (2024). Global atmospheric methane uptake by upland tree woody surfaces. Nature. 631(8022). 796–800. 32 indexed citations
5.
Wilkes, Phil, Mathias Disney, John Armston, et al.. (2023). TLS2trees : A scalable tree segmentation pipeline for TLS data. Methods in Ecology and Evolution. 14(12). 3083–3099. 19 indexed citations
6.
Doughty, Christopher E., Patrick Burns, Andrew J. Abraham, et al.. (2023). Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures. SHILAP Revista de lepidopterología. 2(3). 35002–35002. 5 indexed citations
7.
Wilkes, Phil, Alexander Shenkin, Mathias Disney, et al.. (2021). Terrestrial laser scanning to reconstruct branch architecture from harvested branches. Methods in Ecology and Evolution. 12(12). 2487–2500. 29 indexed citations
8.
Menor, Imma Oliveras, Lisa Patrick Bentley, Nikolaos M. Fyllas, et al.. (2020). The Influence of Taxonomy and Environment on Leaf Trait Variation Along Tropical Abiotic Gradients. Frontiers in Forests and Global Change. 3. 19 indexed citations
9.
Jucker, Tommaso, Toby Jackson, Florian Zellweger, et al.. (2020). A Research Agenda for Microclimate Ecology in Human-Modified Tropical Forests. Frontiers in Forests and Global Change. 2. 31 indexed citations
10.
Jackson, Toby, Alexander Shenkin, Noreen Majalap, et al.. (2020). The mechanical stability of the world’s tallest broadleaf trees. Biotropica. 53(1). 110–120. 25 indexed citations
11.
Verbeeck, Hans, Marijn Bauters, Toby Jackson, et al.. (2019). Time for a Plant Structural Economics Spectrum. Frontiers in Forests and Global Change. 2. 46 indexed citations
12.
Lau, Alvaro, Christopher Martius, Harm Bartholomeus, et al.. (2019). Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling. Forest Ecology and Management. 439. 132–145. 52 indexed citations
13.
Shenkin, Alexander, Doreen S. Boyd, Toby Jackson, et al.. (2019). The World's Tallest Tropical Tree in Three Dimensions. Frontiers in Forests and Global Change. 2. 41 indexed citations
14.
Doughty, Christopher E., Alexander Shenkin, Gregory R. Goldsmith, et al.. (2018). Tropical forest leaves may darken in response to climate change. Nature Ecology & Evolution. 2(12). 1918–1924. 25 indexed citations
15.
Blonder, Benjamin, Norma Salinas, Lisa Patrick Bentley, et al.. (2018). Structural and defensive roles of angiosperm leaf venation network reticulation across an Andes–Amazon elevation gradient. Journal of Ecology. 106(4). 1683–1699. 17 indexed citations
16.
Enquist, Brian J., Lisa Patrick Bentley, Alexander Shenkin, et al.. (2017). Assessing trait‐based scaling theory in tropical forests spanning a broad temperature gradient. Global Ecology and Biogeography. 26(12). 1357–1373. 57 indexed citations
17.
Fauset, Sophie, Manuel Gloor, Marcos Pereira Marinho Aidar, et al.. (2017). Tropical forest light regimes in a human‐modified landscape. Ecosphere. 8(11). e02002–e02002. 39 indexed citations
18.
Piponiot, Camille, Plínio Sist, Lucas Mazzei, et al.. (2016). Data from: Carbon recovery dynamics following disturbance by selective logging in Amazonian forests. Socio-Environmental Systems Modeling.
19.
Perz, Stephen G., et al.. (2014). Trans-boundary infrastructure, access connectivity, and household land use in a tri-national frontier in the Southwestern Amazon. Journal of Land Use Science. 10(3). 342–368. 6 indexed citations
20.
Perz, Stephen G., et al.. (2014). Private and communal lands? The ramifications of ambiguous resource tenure and regional integration in Northern Bolivia. International Journal of the Commons. 8(1). 179–179. 6 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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