Jon M. Yearsley

3.4k total citations · 1 hit paper
67 papers, 2.5k citations indexed

About

Jon M. Yearsley is a scholar working on Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jon M. Yearsley has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecology, 18 papers in Nature and Landscape Conservation and 18 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jon M. Yearsley's work include Wildlife Ecology and Conservation (15 papers), Plant and animal studies (12 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Jon M. Yearsley is often cited by papers focused on Wildlife Ecology and Conservation (15 papers), Plant and animal studies (12 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Jon M. Yearsley collaborates with scholars based in United Kingdom, Ireland and Switzerland. Jon M. Yearsley's co-authors include Mark Brewer, David A. Elston, Jack J. Lennon, Colin M. Beale, Mark Emmerson, Joel R. Peck, Thomas Broquet, David Waxman, Claire M. Belcher and A. W. Illius and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Jon M. Yearsley

65 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Regression analysis of spatial data

2010 464 citations Colin M. Beale, Jack J. Lennon et al. Ecology Letters profile →

Peers

Countries citing papers authored by Jon M. Yearsley

Since Specialization

Citations

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

Fields of papers citing papers by Jon M. Yearsley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon M. Yearsley

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Thermal limits of bumblebees and honeybees are modulated by different functional traits: predictions of a mechanistic model 2025 ·PLoS ONE ·Sarah MacQueen, Dara A. Stanley, Jon M. Yearsley	0
2	Modelling the distribution of rare invertebrates by correcting class imbalance and spatial bias 2022 ·Diversity and Distributions ·(unknown), Dinara Sadykova, Hannah J. White, Lupe León‐Sánchez, Paul Caplat, Mark Emmerson, Jon M. Yearsley	3
3	Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions 2022 ·Frontiers in Plant Science ·Carl A. Frisk, (unknown), (unknown), (unknown), Rainer Melzer, Jon M. Yearsley	1
4	Fine‐scale distribution of moisture in the surface of a degraded blanket bog and its effects on the potential spread of smouldering fire 2017 ·Ecohydrology ·Nuria Prat‐Guitart, Claire M. Belcher, Dan K. Thompson, (unknown), Jon M. Yearsley	8
5	Effects of spatial heterogeneity in moisture content on the horizontal spread of peat fires 2016 ·The Science of The Total Environment ·Nuria Prat‐Guitart, Guillermo Rein, Rory M. Hadden, Claire M. Belcher, Jon M. Yearsley	45
6	Emerging Infectious Disease Implications of Invasive Mammalian Species: The Greater White-Toothed Shrew (Crocidura russula) Is Associated With a Novel Serovar of Pathogenic Leptospira in Ireland 2016 ·PLoS neglected tropical diseases ·Jarlath E. Nally, Zbigniew Arent, Darrell O. Bayles, Richard L. Hornsby, C. Gilmore, (unknown), Allan D. McDevitt, Jon M. Yearsley, Séamus Fanning, Barry J. McMahon	33
7	Does Size Matter? Atmospheric CO2 May Be a Stronger Driver of Stomatal Closing Rate Than Stomatal Size in Taxa That Diversified under Low CO2 2016 ·Frontiers in Plant Science ·Caroline Elliott‐Kingston, Matthew Haworth, Jon M. Yearsley, Sven Batke, Tracy Lawson, Jennifer C. McElwain	83
8	Influence of a step-change increase of peat moisture content on the horizontal propagation of smouldering fires 2015 ·EGU General Assembly Conference Abstracts ·Nuria Prat‐Guitart, Claire M. Belcher, Rory M. Hadden, Guillermo Rein, Jon M. Yearsley	2
9	High connectivity in a long-lived high-Arctic seabird, the ivory gull Pagophila eburnea 2015 ·Polar Biology ·Glenn Yannic, Jon M. Yearsley, Roberto Sermier, Christophe Dufresnes, Olivier Gilg, Adrian Aebischer, Maria Gavrilo, Hallvard Strøm, Mark L. Mallory, R. I. Guy Morrison, H. Grant Gilchrist, Thomas Broquet	13
10	Charring temperatures are driven by the fuel types burned in a peatland wildfire 2014 ·Frontiers in Plant Science ·Victoria A. Hudspith, Claire M. Belcher, Jon M. Yearsley	32
11	Invading and Expanding: Range Dynamics and Ecological Consequences of the Greater White-Toothed Shrew (Crocidura russula) Invasion in Ireland 2014 ·PLoS ONE ·Allan D. McDevitt, W. Ian Montgomery, David G. Tosh, (unknown), Neil Reid, Thomas A. White, (unknown), John O’Halloran, Jeremy B. Searle, Jon M. Yearsley	34
12	Inferring landscape effects on dispersal from genetic distances: how far can we go? 2010 ·Molecular Ecology ·Julie Jaquiéry, Thomas Broquet, Alexandre H. Hirzel, Jon M. Yearsley, Nicolas Perrin	82
13	Regression analysis of spatial data breakdown → 2010 ·Ecology Letters ·Colin M. Beale, Jack J. Lennon, Jon M. Yearsley, Mark Brewer, David A. Elston	464
14	Predicting the effects of body fatness on food intake and performance of sheep 2007 ·British Journal Of Nutrition ·B.J. Tolkamp, Jon M. Yearsley, Iain J. Gordon, A. W. Illius, John R. Speakman, I. Kyriazakis	7
15	A Theory of Associating Food Types with Their Postingestive Consequences 2006 ·The American Naturalist ·Jon M. Yearsley, Juan J. Villalba, Iain J. Gordon, I. Kyriazakis, John R. Speakman, B.J. Tolkamp, A. W. Illius, Alan J. Duncan	47
16	Optimal diet selection, frequency dependence and prey renewal 2003 ·Theoretical Population Biology ·Jon M. Yearsley	10
17	A Lifetime Perspective on Foraging and Mortality 2002 ·Journal of Theoretical Biology ·Jon M. Yearsley, Ian M. Hastings, Iain J. Gordon, I. Kyriazakis, A. W. Illius	14
18	Equivalence relationships between stage-structured population models 2002 ·Mathematical Biosciences ·Jon M. Yearsley, David Fletcher	17
19	The Approximately Ideal, More or Less Free Distribution 2001 ·Theoretical Population Biology ·J. G. Ollason, Jon M. Yearsley	8
20	Cosmological models of dimensional segregation 1996 ·Classical and Quantum Gravity ·Jon M. Yearsley, John D. Barrow	16

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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