David Bush

3.0k total citations
68 papers, 1.3k citations indexed

About

David Bush is a scholar working on Nature and Landscape Conservation, Plant Science and Genetics. According to data from OpenAlex, David Bush has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nature and Landscape Conservation, 23 papers in Plant Science and 14 papers in Genetics. Recurrent topics in David Bush's work include Forest ecology and management (27 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Genetic and phenotypic traits in livestock (8 papers). David Bush is often cited by papers focused on Forest ecology and management (27 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Genetic and phenotypic traits in livestock (8 papers). David Bush collaborates with scholars based in Australia, China and Brazil. David Bush's co-authors include Linda Broadhurst, Peter Cunningham, S. J. Midgley, A. R. Griffin, K. Pinyopusarerk, Cathy C. Laurie, J. W. Dudley, Robert McCarroll, Scott D. Chasalow and Brian M. Hauge and has published in prestigious journals such as Nature Communications, Genetics and Biological Conservation.

In The Last Decade

David Bush

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bush Australia 17 492 435 328 270 219 68 1.3k
M. W. McDonald Australia 14 376 0.8× 590 1.4× 302 0.9× 204 0.8× 319 1.5× 22 1.2k
Jonathan Cornelius Costa Rica 18 386 0.8× 380 0.9× 247 0.8× 313 1.2× 154 0.7× 51 1.3k
Javier López-Upton Mexico 16 363 0.7× 554 1.3× 115 0.4× 301 1.1× 238 1.1× 159 1.2k
Christian Wehenkel Mexico 20 277 0.6× 626 1.4× 206 0.6× 337 1.2× 373 1.7× 120 1.3k
Honglin Cao China 22 548 1.1× 613 1.4× 153 0.5× 271 1.0× 299 1.4× 98 1.5k
Chris Harwood Australia 26 644 1.3× 864 2.0× 236 0.7× 263 1.0× 216 1.0× 76 2.0k
Jon Kehlet Hansen Denmark 21 642 1.3× 673 1.5× 138 0.4× 475 1.8× 535 2.4× 61 1.8k
J. Jesús Vargas‐Hernández Mexico 18 363 0.7× 696 1.6× 86 0.3× 375 1.4× 173 0.8× 197 1.3k
Jarcilene Silva de Almeida‐Cortez Brazil 24 690 1.4× 482 1.1× 102 0.3× 364 1.3× 409 1.9× 90 1.8k
A. R. Griffin Australia 20 553 1.1× 474 1.1× 362 1.1× 118 0.4× 195 0.9× 36 1.3k

Countries citing papers authored by David Bush

Since Specialization
Citations

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

Fields of papers citing papers by David Bush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bush

This figure shows the co-authorship network connecting the top 25 collaborators of David Bush. A scholar is included among the top collaborators of David Bush 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 David Bush. David Bush 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
2.
Grattapaglia, Dário, et al.. (2024). Marker-based pedigree reconstruction reveals limited diversity within commercial Eucalyptus benthamii breeding populations in Brazil. Tree Genetics & Genomes. 20(5). 1 indexed citations
4.
Assis, Teotônio Francisco de, et al.. (2023). How many species change names in a germplasm bank? Study of the Anhembi Experimental Station eucalypt germplasm bank and practical implications. Scientia Forestalis. 51. 1–10. 1 indexed citations
5.
Kalinganiré, Antoine, Patrice Savadogo, Catherine Ky‐Dembele, et al.. (2023). Evidence of early genetic variation in survival and growth traits of baobab (Adansonia digitata L.)—the way forward for domestication and breeding. Agroforestry Systems. 97(7). 1221–1231. 1 indexed citations
6.
Wang, Ping, et al.. (2023). Predicting genetic response to future climate change in Eucalyptus grandis by combining genomic data with climate models. Forest Ecology and Management. 549. 121492–121492. 5 indexed citations
7.
Bush, David, et al.. (2023). High-density genetic linkage mapping reveals low stability of QTLs across environments for economic traits in Eucalyptus. Frontiers in Plant Science. 13. 1099705–1099705. 9 indexed citations
8.
He, Jiayue, et al.. (2022). Xylem Transcriptome Analysis in Contrasting Wood Phenotypes of Eucalyptus urophylla × tereticornis Hybrids. Forests. 13(7). 1102–1102. 2 indexed citations
9.
Godfree, Robert C., Nunzio Knerr, Francisco Encinas‐Viso, et al.. (2021). Implications of the 2019–2020 megafires for the biogeography and conservation of Australian vegetation. Nature Communications. 12(1). 1023–1023. 94 indexed citations
10.
Broadhurst, Linda, et al.. (2020). Origin of planted Eucalyptus benthamii trees in Camden NSW: checking the effectiveness of circa situm conservation measures using molecular markers. Biodiversity and Conservation. 29(4). 1301–1322. 11 indexed citations
11.
Zhong, Chonglu, Yong Zhang, Yongcheng Wei, et al.. (2018). The role of Frankia inoculation in casuarina plantations in China. Antonie van Leeuwenhoek. 112(1). 47–56. 7 indexed citations
12.
Tambarussi, Evandro Vagner, et al.. (2018). Are tree breeders properly predicting genetic gain? A case study involving Corymbia species. Euphytica. 214(8). 38 indexed citations
13.
Pinyopusarerk, K., et al.. (2017). Genetic parameter estimates for growth, stem-form and branching traits of Casuarina junghuhniana clones grown in Thailand. Forest Ecology and Management. 404. 251–257. 14 indexed citations
14.
Bush, David, et al.. (2015). Early growth and genetic variation of mahogany (Swietenia macrophylla) in progeny tests planted in northern Mindanao, Philippines.. JOURNAL OF TROPICAL FOREST SCIENCE. 27(3). 314–324. 4 indexed citations
15.
Bush, David & Bala R. Thumma. (2013). Characterising a Eucalyptus cladocalyx breeding population using SNP markers. Tree Genetics & Genomes. 9(3). 741–752. 19 indexed citations
16.
Doran, J. C., et al.. (2012). Variation in growth traits and wood density in whitewood ( Endospermum medullosum ): a major timber species in Vanuatu. The International Forestry Review. 14(4). 476–485. 14 indexed citations
17.
Page, Tony, et al.. (2012). Basic density, diameter and radial variation of Vanuatu Whitewood ( Endospermum medullosum ): potential for breeding in a low density, tropical hardwood. The International Forestry Review. 14(4). 463–475. 3 indexed citations
18.
Laurie, Cathy C., Scott D. Chasalow, John R. LeDeaux, et al.. (2004). The Genetic Architecture of Response to Long-Term Artificial Selection for Oil Concentration in the Maize Kernel. Genetics. 168(4). 2141–2155. 181 indexed citations
19.
Bush, David, et al.. (2002). Coppicing Eucalypt Plantations - Boon or Bane?. 25(2). 18. 2 indexed citations
20.
Bush, David, et al.. (1974). The golden age of British hotels. 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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