Stephen Cavers

3.9k total citations
101 papers, 2.3k citations indexed

About

Stephen Cavers is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Stephen Cavers has authored 101 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 35 papers in Ecology, Evolution, Behavior and Systematics and 28 papers in Nature and Landscape Conservation. Recurrent topics in Stephen Cavers's work include Genetic diversity and population structure (51 papers), Plant and animal studies (20 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Stephen Cavers is often cited by papers focused on Genetic diversity and population structure (51 papers), Plant and animal studies (20 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Stephen Cavers collaborates with scholars based in United Kingdom, Poland and United States. Stephen Cavers's co-authors include Andrew J. Lowe, Carlos Navarro, Joan Cottrell, Richard A. Ennos, Witold Wachowiak, Annika Perry, Glenn R. Iason, Annika Telford, Maristerra R. Lemes and Matti J. Salmela and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Naturalist and The Plant Journal.

In The Last Decade

Stephen Cavers

97 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Cavers United Kingdom 27 885 755 663 659 532 101 2.3k
Thomas Geburek Austria 25 975 1.1× 579 0.8× 795 1.2× 786 1.2× 414 0.8× 65 2.4k
Бернд Деген Germany 25 1.3k 1.5× 927 1.2× 628 0.9× 802 1.2× 759 1.4× 114 2.7k
Antonio González‐Rodríguez Mexico 27 731 0.8× 906 1.2× 858 1.3× 760 1.2× 400 0.8× 144 2.5k
Joan Cottrell United Kingdom 27 754 0.9× 390 0.5× 873 1.3× 560 0.8× 411 0.8× 94 2.2k
F. Andrew Jones United States 19 534 0.6× 818 1.1× 519 0.8× 759 1.2× 445 0.8× 44 1.8k
Gerard J. Allan United States 28 583 0.7× 925 1.2× 730 1.1× 832 1.3× 371 0.7× 64 2.3k
David Boshier United Kingdom 20 1.0k 1.1× 1.1k 1.5× 608 0.9× 911 1.4× 346 0.7× 61 2.2k
G. Müller‐Starck Germany 20 1.1k 1.2× 792 1.0× 1.1k 1.6× 576 0.9× 642 1.2× 51 2.6k
Eleanor E. Dormontt Australia 13 547 0.6× 702 0.9× 390 0.6× 615 0.9× 340 0.6× 20 1.9k
Carlos Navarro Costa Rica 19 810 0.9× 668 0.9× 460 0.7× 437 0.7× 421 0.8× 37 1.7k

Countries citing papers authored by Stephen Cavers

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Cavers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Cavers

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Cavers. A scholar is included among the top collaborators of Stephen Cavers 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 Stephen Cavers. Stephen Cavers 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.
2.
Garzón, Marta Benito, Marina de Miguel, Francesca Bagnoli, et al.. (2025). Evaluating Genomic Offset Predictions in a Forest Tree with High Population Genetic Structure. The American Naturalist. 207(3). 389–414.
3.
Деген, Бернд, Céline Blanc-Jolivet, Niklas Tysklind, et al.. (2024). Timber Tracking of Jacaranda copaia from the Amazon Forest Using DNA Fingerprinting. Forests. 15(8). 1478–1478. 1 indexed citations
4.
Buiteveld, J., Stephen Cavers, Henrik R. Hallingbäck, et al.. (2023). Managing forest genetic resources for an uncertain future: findings and perspectives from an international conference. Tree Genetics & Genomes. 19(3). 3 indexed citations
5.
Manning, Adrian D., et al.. (2023). The wild Scots Pines (Pinus sylvestris) of Kielderhead. NERC Open Research Archive (Natural Environment Research Council). 5(2). 1 indexed citations
6.
Cavers, Stephen, et al.. (2023). Wild relatives of fruit trees in Syria: Genetic resources threatened by conflict. SHILAP Revista de lepidopterología. 4(7). 68–75.
7.
Perry, Annika, Witold Wachowiak, Joan K. Beaton, et al.. (2022). Identifying and testing marker–trait associations for growth and phenology in three pine species: Implications for genomic prediction. Evolutionary Applications. 15(2). 330–348. 5 indexed citations
8.
Beaton, Joan K., Annika Perry, Joan Cottrell, et al.. (2022). Phenotypic trait variation in a long-term multisite common garden experiment of Scots pine in Scotland. Scientific Data. 9(1). 671–671. 7 indexed citations
9.
Niskanen, Alina K., Annika Perry, Sonja T. Kujala, et al.. (2021). Taming the massive genome of Scots pine with PiSy50k, a new genotyping array for conifer research. The Plant Journal. 109(5). 1337–1350. 20 indexed citations
10.
Benavides, Raquel, Bárbara Carvalho, Silvia Matesanz, et al.. (2021). Phenotypes of Pinus sylvestris are more coordinated under local harsher conditions across Europe. Journal of Ecology. 109(7). 2580–2596. 23 indexed citations
11.
Paredes-Villanueva, Kathelyn, Céline Blanc-Jolivet, Malte Mäder, et al.. (2019). Nuclear and plastid SNP markers for tracing Cedrela timber in the tropics. Conservation Genetics Resources. 12(2). 239–244. 8 indexed citations
12.
Cavers, Stephen, et al.. (2018). Weak isolation by distance and geographic diversity gradients persist in Scottish relict pine forest. iForest - Biogeosciences and Forestry. 11(4). 449–458. 3 indexed citations
13.
Wachowiak, Witold, et al.. (2018). Molecular signatures of divergence and selection in closely related pine taxa. Tree Genetics & Genomes. 14(6). 83–83. 14 indexed citations
14.
Cavers, Stephen, et al.. (2017). Substantial variation in the timing of pollen production reduces reproductive synchrony between distant populations ofPinus sylvestrisL. in Scotland. Ecology and Evolution. 7(15). 5754–5765. 14 indexed citations
15.
Cottrell, Joan, et al.. (2016). Supplying trees in an era of environmental uncertainty: Identifying challenges faced by the forest nursery sector in Great Britain. Land Use Policy. 58. 415–426. 28 indexed citations
16.
17.
Sinclair, Frazer, Graham N. Stone, James A. Nicholls, et al.. (2015). Impacts of local adaptation of forest trees on associations with herbivorous insects: implications for adaptive forest management. Evolutionary Applications. 8(10). 972–987. 25 indexed citations
18.
Wachowiak, Witold, Urmi Trivedi, Annika Perry, & Stephen Cavers. (2015). Comparative transcriptomics of a complex of four European pine species. BMC Genomics. 16(1). 234–234. 36 indexed citations
19.
Wachowiak, Witold, Matti J. Salmela, Richard A. Ennos, Glenn R. Iason, & Stephen Cavers. (2010). High genetic diversity at the extreme range edge: nucleotide variation at nuclear loci in Scots pine (Pinus sylvestris L.) in Scotland. Heredity. 106(5). 775–787. 54 indexed citations
20.
Kremer, Antoine, Henri Caron, Stephen Cavers, et al.. (2005). Monitoring genetic diversity in tropical trees with multilocus dominant markers. Heredity. 95(4). 274–280. 43 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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