J. C. Bell

2.0k total citations
43 papers, 1.6k citations indexed

About

J. C. Bell is a scholar working on Plant Science, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, J. C. Bell has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 19 papers in Genetics and 17 papers in Nature and Landscape Conservation. Recurrent topics in J. C. Bell's work include Genetic diversity and population structure (18 papers), Forest ecology and management (10 papers) and Forest Insect Ecology and Management (10 papers). J. C. Bell is often cited by papers focused on Genetic diversity and population structure (18 papers), Forest ecology and management (10 papers) and Forest Insect Ecology and Management (10 papers). J. C. Bell collaborates with scholars based in Australia, United States and Finland. J. C. Bell's co-authors include G. F. Moran, Outi Muona, P. A. Butcher, M. W. McDonald, M. E. Devey, GF Moran, David B. Neale, K.M. Old, Gavin F. Moran and Bala R. Thumma and has published in prestigious journals such as Nature Genetics, Genetics and Evolution.

In The Last Decade

J. C. Bell

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Bell Australia 27 688 671 566 471 459 43 1.6k
Stephen J. Novak United States 22 436 0.6× 707 1.1× 376 0.7× 438 0.9× 647 1.4× 74 1.6k
Michael Stoehr Canada 24 279 0.4× 428 0.6× 421 0.7× 540 1.1× 251 0.5× 73 1.4k
Gerrit Van Wyk South Africa 8 158 0.2× 487 0.7× 260 0.5× 576 1.2× 260 0.6× 22 1.2k
M. E. Devey United States 19 557 0.8× 693 1.0× 554 1.0× 164 0.3× 115 0.3× 27 1.2k
W. T. Adams United States 34 1.1k 1.6× 957 1.4× 788 1.4× 1.3k 2.8× 995 2.2× 85 3.0k
Kohmei Kadowaki Japan 19 325 0.5× 1000 1.5× 965 1.7× 109 0.2× 289 0.6× 47 1.8k
Elizabeth L. Spriggs United States 15 294 0.4× 470 0.7× 461 0.8× 323 0.7× 720 1.6× 19 1.3k
Takuya Abe Japan 28 1.2k 1.7× 255 0.4× 712 1.3× 175 0.4× 1.0k 2.2× 97 2.2k
Eric B. Knox United States 14 290 0.4× 345 0.5× 690 1.2× 149 0.3× 655 1.4× 36 1.2k
An Vanden Broeck Belgium 16 284 0.4× 392 0.6× 200 0.4× 251 0.5× 250 0.5× 38 1.1k

Countries citing papers authored by J. C. Bell

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. C. Bell

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Bell. A scholar is included among the top collaborators of J. C. Bell 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. C. Bell. J. C. Bell 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.
Thumma, Bala R., Brian S. Baltunis, J. C. Bell, et al.. (2010). Quantitative trait locus (QTL) analysis of growth and vegetative propagation traits in Eucalyptus nitens full-sib families. Tree Genetics & Genomes. 6(6). 877–889. 35 indexed citations
2.
Devey, M. E., J. C. Bell, M. J. Dudzinski, et al.. (2004). Detection and verification of quantitative trait loci for resistance to Dothistroma needle blight in Pinus radiata. Theoretical and Applied Genetics. 108(6). 1056–1063. 27 indexed citations
3.
McDonald, M. W., et al.. (2003). Regional divergence and inbreeding in Eucalyptus cladocalyx (Myrtaceae). Australian Journal of Botany. 51(4). 393–403. 38 indexed citations
4.
Devey, M. E., et al.. (2002). A set of microsatellite markers for fingerprinting and breeding applications in Pinus radiata. Genome. 45(5). 984–989. 27 indexed citations
5.
Harwood, Chris, G. F. Moran, & J. C. Bell. (1997). Genetic Differentiation in Natural Populations of Grevillea robusta. Australian Journal of Botany. 45(4). 669–678. 22 indexed citations
6.
Burgess, I. P., Emlyn Williams, J. C. Bell, C. E. Harwood, & J. Victor Owen. (1996). The Effect of Outcrossing Rate on the Growth of Selected Families of Eucalyptus grandis. Silvae genetica. 45. 97–100. 37 indexed citations
7.
Bell, J. C. & Mélodie A. McGeoch. (1996). An evaluation of the pest status and research conducted on phytophagous lepidoptera on cultivated plants in South Africa. African Entomology. 4(2). 161–170. 9 indexed citations
8.
Devey, M. E., et al.. (1996). A genetic linkage map for Pinus radiata based on RFLP, RAPD, and microsatellite markers. Theoretical and Applied Genetics. 92(6). 673–679. 147 indexed citations
9.
House, Alan & J. C. Bell. (1994). Isozyme variation and mating system in Eucalyptus urophylla S. T. Blake.. Silvae genetica. 43. 167–176. 37 indexed citations
10.
James, M. R., Charles W. Richard, Jean‐Jacques Schott, et al.. (1994). A radiation hybrid map of 506 STS markers spanning human chromosome 11. Nature Genetics. 8(1). 70–76. 119 indexed citations
11.
Muona, Outi, G. F. Moran, & J. C. Bell. (1991). Hierarchical patterns of correlated mating in Acacia melanoxylon.. Genetics. 127(3). 619–626. 67 indexed citations
12.
Moran, G. F., J. C. Bell, & A. R. Griffin. (1989). Reduction in levels of inbreeding in a seed orchard of Eucalyptus regnans F. Muell. compared with natural populations.. Silvae genetica. 38(1). 32–36. 38 indexed citations
13.
Moran, G. F., et al.. (1989). Acacia mangium: A Tropical Forest Tree of the Coastal Lowlands with low Genetic Diversity. Evolution. 43(1). 231–231. 36 indexed citations
14.
Moran, G. F., Outi Muona, & J. C. Bell. (1989). Breeding Systems and Genetic Diversity in Acacia auriculiformis and A. crassicarpa. Biotropica. 21(3). 250–250. 90 indexed citations
15.
Bell, J. C., et al.. (1988). Isozyme Variability in Field Populations of Phytophthora cinnamomi in Australia. Australian Journal of Botany. 36(3). 355–360. 32 indexed citations
16.
Moran, G. F., et al.. (1988). The genetic structure and the conservation of the five natural populations of Pinusradiata. Canadian Journal of Forest Research. 18(5). 506–514. 68 indexed citations
17.
Moran, G. F. & J. C. Bell. (1987). The origin and genetic diversity of Pinus radiata in Australia. Theoretical and Applied Genetics. 73(4). 616–622. 43 indexed citations
18.
Burgess, I. P., J. C. Bell, & Gerrit Van Wyk. (1985). The Identity of Trees Currently Known asEucalyptus grandisin the Republic of South Africa Based on Isozyme Frequencies. South African Forestry Journal. 135(1). 24–30. 2 indexed citations
19.
Burgess, I. P. & J. C. Bell. (1983). Comparative morphology and allozyme frequencies of Eucalyptus grandis Hill ex Maiden and E. saligna Sm.. 13(2). 133–149. 16 indexed citations
20.
Moran, G. F., J. C. Bell, & Arthur J. Hilliker. (1983). Greater meiotic recombination in male vs. female gametes in Pinus radiata. Journal of Heredity. 74(1). 62–62. 26 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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