T. J. Mullin

1.3k total citations
47 papers, 1.0k citations indexed

About

T. J. Mullin is a scholar working on Nature and Landscape Conservation, Genetics and Molecular Biology. According to data from OpenAlex, T. J. Mullin has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nature and Landscape Conservation, 12 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in T. J. Mullin's work include Forest ecology and management (22 papers), Genetic and phenotypic traits in livestock (9 papers) and Bioenergy crop production and management (8 papers). T. J. Mullin is often cited by papers focused on Forest ecology and management (22 papers), Genetic and phenotypic traits in livestock (9 papers) and Bioenergy crop production and management (8 papers). T. J. Mullin collaborates with scholars based in Sweden, United States and New Zealand. T. J. Mullin's co-authors include D. Lindgren, Steven E. McKeand, Timothy L. White, T. D. Byram, Kyu‐Suk Kang, E. K. Morgenstern, Ola Rosvall, Harry X. Wu, Heidi S. Dungey and D. P. Fowler and has published in prestigious journals such as Genetics, Theoretical and Applied Genetics and Canadian Journal of Forest Research.

In The Last Decade

T. J. Mullin

46 papers receiving 856 citations

Peers

T. J. Mullin

NLC

PS

GENET

MB

GPC

Leopoldo Sánchez France

Gary R. Hodge United States

Mark J. Dieters Australia

Gerrit Van Wyk South Africa

A. C. Matheson Australia

María Rosario García‐Gil Sweden

João Costa e Silva Australia

Luc Pâques France

Catherine Bastien France

R. D. Burdon New Zealand

Leopoldo Sánchez France

T. J. Mullin

323 ×0.6

NLC

387 ×1.0

PS

407 ×1.6

GENET

200 ×0.9

MB

199 ×1.1

GPC

Citations per year, relative to T. J. Mullin T. J. Mullin (= 1×) peers Leopoldo Sánchez

Countries citing papers authored by T. J. Mullin

Since Specialization

Citations

This map shows the geographic impact of T. J. Mullin'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 T. J. Mullin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Mullin more than expected).

Fields of papers citing papers by T. J. Mullin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Mullin

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Mullin. A scholar is included among the top collaborators of T. J. Mullin 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 T. J. Mullin. T. J. Mullin 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

1.

Wu, Harry X., et al.. (2019). Genotype-by-environment interactions and the dynamic relationship between tree vitality and height in northern Pinus sylvestris. Tree Genetics & Genomes. 15(3). 14 indexed citations

2.

Bouffier, Laurent, Jaroslav Klápště, Mari Suontama, Heidi S. Dungey, & T. J. Mullin. (2019). Evaluation of forest tree breeding strategies based on partial pedigree reconstruction through simulations: Pinus pinaster and Eucalyptus nitens as case studies. Canadian Journal of Forest Research. 49(12). 1504–1515. 7 indexed citations

3.

Rosvall, Ola, Richard Bradshaw, Ulrika Egertsdotter, et al.. (2019). Using Norway spruce clones in Swedish forestry: implications of clones for management. Scandinavian Journal of Forest Research. 34(5). 390–404. 15 indexed citations

4.

García‐Gil, María Rosario, et al.. (2015). Genetic diversity and inbreeding in natural and managed populations of Scots pine. Tree Genetics & Genomes. 11(2). 25 indexed citations

5.

Ahlinder, Jon, T. J. Mullin, & Makoto Yamashita. (2013). Using semidefinite programming to optimize unequal deployment of genotypes to a clonal seed orchard. Tree Genetics & Genomes. 10(1). 27–34. 12 indexed citations

6.

Rosvall, Ola & T. J. Mullin. (2013). Introduction to breeding strategies and evaluation of alternatives. 6 indexed citations

7.

Lindgren, D., et al.. (2009). Estimation of Clonal Variation in Seed Cone Production Over Time in a Scots pine (Pinus sylvestris L.) Seed Orchard. Silvae genetica. 58(1-6). 53–62. 10 indexed citations

8.

Kang, Kyu‐Suk & T. J. Mullin. (2007). Variation in Clone Fertility and its Effect on the Gene Diversity of Seeds From a Seed Orchard of Chamaecyparis obtusa in Korea. Silvae genetica. 56(1-6). 134–137. 7 indexed citations

9.

Amerson, Henry V., et al.. (2005). Interacting genes in the pine-fusiform rust forest pathosystem. 7 indexed citations

10.

Kang, Kyu‐Suk, et al.. (2005). Genetic Gain and Diversity of Orchard Crops Under Alternative Management Options in a Clonal Seed Orchard of Pinus thunbergii. Silvae genetica. 54(1-6). 93–96. 4 indexed citations

11.

Lstibůrek, Milan, T. J. Mullin, D. Lindgren, & Ola Rosvall. (2004). Open-nucleus breeding strategies compared with population-wide positive assortative mating. Theoretical and Applied Genetics. 109(6). 1196–1203. 8 indexed citations

12.

Lstibůrek, Milan, T. J. Mullin, D. Lindgren, & Ola Rosvall. (2004). Open-nucleus breeding strategies compared with population-wide positive assortative mating. Theoretical and Applied Genetics. 109(6). 1169–1177. 6 indexed citations

13.

Kang, Kyu‐Suk, D. Lindgren, & T. J. Mullin. (2004). Fertility Variation, Genetic Relatedness, and Their Impacts on Gene Diversity of Seeds From a Seed Orchard of Pinus thunbergii. Silvae genetica. 53(1-6). 202–206. 12 indexed citations

14.

McKeand, Steven E., T. J. Mullin, T. D. Byram, & Timothy L. White. (2003). Deployment of Genetically Improved Loblolly and Slash Pines in the South. Journal of Forestry. 101(3). 32–37. 153 indexed citations

15.

Rosvall, Ola & T. J. Mullin. (2003). Positive assortative mating with selection restrictions on group coancestry enhances gain while conserving genetic diversity in long-term forest tree breeding. Theoretical and Applied Genetics. 107(4). 629–642. 19 indexed citations

16.

Lindgren, D., et al.. (1999). Fertility variation and its effect on diversity over generations in a teak plantation (Tectona grandis L.f.).. Silvae genetica. 48. 109–114. 23 indexed citations

17.

Lindgren, D. & T. J. Mullin. (1997). Balancing Gain and Relatedness in Selection. Silvae genetica. 46. 124–129. 65 indexed citations

18.

Mullin, T. J., et al.. (1995). Genetic parameters and correlations in tests of open-pollinated black spruce families in field and retrospective nursery test environments. Canadian Journal of Forest Research. 25(2). 270–285. 16 indexed citations

19.

Mullin, T. J., et al.. (1992). Estimating genetic gains from alternative breeding strategies for clonal forestry. Canadian Journal of Forest Research. 22(1). 14–23. 61 indexed citations

20.

Mullin, T. J.. (1985). Genotype–nitrogen interactions in full-sib seedlings of black spruce. Canadian Journal of Forest Research. 15(6). 1031–1038. 8 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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