J. M. Pemberton

7.1k total citations · 1 hit paper
33 papers, 5.6k citations indexed

About

J. M. Pemberton is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. M. Pemberton has authored 33 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 18 papers in Ecology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. M. Pemberton's work include Genetic and phenotypic traits in livestock (24 papers), Wildlife Ecology and Conservation (16 papers) and Genetic diversity and population structure (11 papers). J. M. Pemberton is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Wildlife Ecology and Conservation (16 papers) and Genetic diversity and population structure (11 papers). J. M. Pemberton collaborates with scholars based in United Kingdom, Spain and Australia. J. M. Pemberton's co-authors include Loeske E. B. Kruuk, Jon Slate, Tristan Marshall, David W. Coltman, J. G. PILKINGTON, Tim Clutton‐Brock, Judith A. Smith, Jill G. Pilkington, David Bancroft and Alastair J. Wilson and has published in prestigious journals such as Ecology, The American Naturalist and PLoS Biology.

In The Last Decade

J. M. Pemberton

33 papers receiving 5.3k citations

Hit Papers

Statistical confidence for likelihood‐based paternity inf... 1998 2026 2007 2016 1998 1000 2.0k 3.0k

Peers

J. M. Pemberton
Lukas F. Keller Switzerland
David H. Reed United States
Jonathan D. Ballou United States
David S. Woodruff United States
Luca Fumagalli Switzerland
Lukas F. Keller Switzerland
J. M. Pemberton
Citations per year, relative to J. M. Pemberton J. M. Pemberton (= 1×) peers Lukas F. Keller

Countries citing papers authored by J. M. Pemberton

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Pemberton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Pemberton

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Pemberton. A scholar is included among the top collaborators of J. M. Pemberton 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 J. M. Pemberton. J. M. Pemberton 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.
Pemberton, J. M., Pamela Ellis, Jill G. Pilkington, & Camillo Bérénos. (2016). Inbreeding depression by environment interactions in a free-living mammal population. Heredity. 118(1). 64–77. 34 indexed citations
2.
Graham, Andrea L., Daniel H. Nussey, James O. Lloyd‐Smith, et al.. (2016). Exposure to viral and bacterial pathogens among Soay sheep (Ovis aries) of the St Kilda archipelago. Epidemiology and Infection. 144(9). 1879–1888. 5 indexed citations
3.
Clutton‐Brock, Tim, et al.. (2012). Re‐mating across years and intralineage polygyny are associated with greater than expected levels of inbreeding in wild red deer. Journal of Evolutionary Biology. 25(12). 2457–2469. 15 indexed citations
4.
Wilson, Alastair J., Michael B. Morrissey, Mark J. Adams, et al.. (2011). Indirect genetics effects and evolutionary constraint: an analysis of social dominance in red deer, Cervus elaphus. Journal of Evolutionary Biology. 24(4). 772–783. 112 indexed citations
5.
Hayward, Adam D., Alastair J. Wilson, J. G. PILKINGTON, et al.. (2011). Natural selection on a measure of parasite resistance varies across ages and environmental conditions in a wild mammal. Journal of Evolutionary Biology. 24(8). 1664–1676. 36 indexed citations
7.
Hayward, Adam D., J. G. PILKINGTON, J. M. Pemberton, & Loeske E. B. Kruuk. (2010). Maternal effects and early-life performance are associated with parasite resistance across life in free-living Soay sheep. Parasitology. 137(8). 1261–1273. 18 indexed citations
8.
Pérez‐Espona, Sílvia, F. Javier Pérez‐Barbería, Chris D. Jiggins, Iain J. Gordon, & J. M. Pemberton. (2010). Variable extent of sex-biased dispersal in a strongly polygynous mammal. Molecular Ecology. 19(15). 3101–3113. 28 indexed citations
9.
Hernández‐Sánchez, Jules, et al.. (2010). Mapping quantitative trait loci in a wild population using linkage and linkage disequilibrium analyses. Genetics Research. 92(4). 273–281. 6 indexed citations
10.
Johnston, Susan E., Dario Beraldi, Allan F. McRae, J. M. Pemberton, & Jon Slate. (2009). Horn type and horn length genes map to the same chromosomal region in Soay sheep. Heredity. 104(2). 196–205. 45 indexed citations
11.
Coulson, Tim, Thomas H. G. Ezard, Fanie Pelletier, et al.. (2008). ESTIMATING THE FUNCTIONAL FORM FOR THE DENSITY DEPENDENCE FROM LIFE HISTORY DATA. Ecology. 89(6). 1661–1674. 73 indexed citations
12.
Craig, Barbara, et al.. (2008). Metazoan-protozoan parasite co-infections and host body weight in St Kilda Soay sheep. Parasitology. 135(4). 433–441. 41 indexed citations
13.
Pérez‐Espona, Sílvia, F. Javier Pérez‐Barbería, James E. McLeod, et al.. (2008). Landscape features affect gene flow of Scottish Highland red deer (Cervus elaphus). Molecular Ecology. 17(4). 981–996. 170 indexed citations
14.
Craig, Barbara, J. G. PILKINGTON, & J. M. Pemberton. (2006). Gastrointestinal nematode species burdens and host mortality in a feral sheep population. Parasitology. 133(4). 485–496. 64 indexed citations
15.
Wilson, Alastair J., J. M. Pemberton, J. G. PILKINGTON, et al.. (2006). Environmental Coupling of Selection and Heritability Limits Evolution. PLoS Biology. 4(7). e216–e216. 199 indexed citations
16.
Overall, Andrew, Keren Byrne, J. G. PILKINGTON, & J. M. Pemberton. (2005). Heterozygosity, inbreeding and neonatal traits in Soay sheep on St Kilda. Molecular Ecology. 14(11). 3383–3393. 59 indexed citations
17.
Coltman, David W., David Bancroft, A. Robertson, et al.. (1999). Male reproductive success in a promiscuous mammal: behavioural estimates compared with genetic paternity. Molecular Ecology. 8(7). 1199–1209. 272 indexed citations
18.
Coltman, David W., Judith A. Smith, David Bancroft, et al.. (1999). Density‐Dependent Variation in Lifetime Breeding Success and Natural and Sexual Selection in Soay Rams. The American Naturalist. 154(6). 730–746. 124 indexed citations
19.
Slate, Jon, David W. Coltman, Simon J. Goodman, et al.. (1998). Bovine microsatellite loci are highly conserved in red deer (Cervus elaphus), sika deer (Cervus nippon) and Soay sheep (Ovis aries). Animal Genetics. 29(4). 307–315. 121 indexed citations
20.
Pemberton, J. M., et al.. (1989). GENETIC-VARIATION IN THE ALPINE CHAMOIS, WITH SPECIAL REFERENCE TO THE SUBSPECIES RUPICAPRA-RUPICAPRA-CARTUSIANA COUTURIER, 1938. Use Siena air (University of Siena). 54(4). 243–250. 9 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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