Bala R. Thumma

1.1k total citations
19 papers, 883 citations indexed

About

Bala R. Thumma is a scholar working on Plant Science, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Bala R. Thumma has authored 19 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Nature and Landscape Conservation and 5 papers in Molecular Biology. Recurrent topics in Bala R. Thumma's work include Forest ecology and management (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Horticultural and Viticultural Research (5 papers). Bala R. Thumma is often cited by papers focused on Forest ecology and management (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Horticultural and Viticultural Research (5 papers). Bala R. Thumma collaborates with scholars based in Australia, India and Brazil. Bala R. Thumma's co-authors include Simon G. Southerton, Gavin F. Moran, Robert Evans, Mervyn Shepherd, René E. Vaillancourt, Dário Grattapaglia, William J. Foley, BM Potts, Carsten Külheim and Alexander A. Myburg and has published in prestigious journals such as PLoS ONE, Genetics and Journal of Experimental Botany.

In The Last Decade

Bala R. Thumma

18 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bala R. Thumma Australia 15 531 314 305 184 130 19 883
Gavin F. Moran Australia 12 380 0.7× 347 1.1× 189 0.6× 146 0.8× 116 0.9× 15 720
Orzenil B. Silva‐Junior Brazil 22 808 1.5× 408 1.3× 558 1.8× 249 1.4× 110 0.8× 39 1.4k
Nathalie Pavy Canada 19 595 1.1× 767 2.4× 373 1.2× 166 0.9× 56 0.4× 24 1.2k
Jules S. Freeman Australia 21 497 0.9× 283 0.9× 275 0.9× 198 1.1× 256 2.0× 36 906
Marijke Steenackers Belgium 12 645 1.2× 333 1.1× 86 0.3× 100 0.5× 186 1.4× 21 948
Ludger Leinemann Germany 13 229 0.4× 214 0.7× 203 0.7× 135 0.7× 98 0.8× 43 642
Sébastien Caron Canada 13 428 0.8× 517 1.6× 131 0.4× 92 0.5× 46 0.4× 25 778
Craig Hardner Australia 21 637 1.2× 224 0.7× 244 0.8× 228 1.2× 119 0.9× 77 978
Gerd Bossinger Australia 20 1.0k 1.9× 946 3.0× 187 0.6× 110 0.6× 150 1.2× 51 1.4k
Christopher Dervinis United States 23 989 1.9× 628 2.0× 208 0.7× 73 0.4× 41 0.3× 36 1.4k

Countries citing papers authored by Bala R. Thumma

Since Specialization
Citations

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

Fields of papers citing papers by Bala R. Thumma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bala R. Thumma. 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 Bala R. Thumma. The network helps show where Bala R. Thumma may publish in the future.

Co-authorship network of co-authors of Bala R. Thumma

This figure shows the co-authorship network connecting the top 25 collaborators of Bala R. Thumma. A scholar is included among the top collaborators of Bala R. Thumma 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 Bala R. Thumma. Bala R. Thumma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Thumma, Bala R., et al.. (2021). Genomic studies with preselected markers reveal dominance effects influencing growth traits in Eucalyptus nitens. G3 Genes Genomes Genetics. 12(1). 9 indexed citations
3.
Arnold, R., et al.. (2020). Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita. G3 Genes Genomes Genetics. 10(10). 3751–3763. 23 indexed citations
4.
Dolferus, Rudy, et al.. (2015). Comparison of Genomic Selection Models to Predict Flowering Time and Spike Grain Number in Two Hexaploid Wheat Doubled Haploid Populations. G3 Genes Genomes Genetics. 5(10). 1991–1998. 43 indexed citations
5.
Southerton, Simon G., et al.. (2014). RNA-Seq Using Two Populations Reveals Genes and Alleles Controlling Wood Traits and Growth in Eucalyptus nitens. PLoS ONE. 9(6). e101104–e101104. 19 indexed citations
6.
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
7.
Southerton, Simon G., et al.. (2013). Dissection of complex traits in forest trees — opportunities for marker-assisted selection. Tree Genetics & Genomes. 9(3). 627–639. 31 indexed citations
8.
Thumma, Bala R., Navin Sharma, & Simon G. Southerton. (2012). Transcriptome sequencing of Eucalyptus camaldulensis seedlings subjected to water stress reveals functional single nucleotide polymorphisms and genes under selection. BMC Genomics. 13(1). 364–364. 50 indexed citations
9.
Grattapaglia, Dário, René E. Vaillancourt, Mervyn Shepherd, et al.. (2012). Progress in Myrtaceae genetics and genomics: Eucalyptus as the pivotal genus. Tree Genetics & Genomes. 8(3). 463–508. 201 indexed citations
10.
Southerton, Simon G., Shannon Dillon, & Bala R. Thumma. (2011). Identification of genes and alleles influencing wood development in Eucalyptus. BMC Proceedings. 5(S7). 3 indexed citations
11.
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
12.
Southerton, Simon G., Colleen P. MacMillan, J. C. Bell, et al.. (2010). Association of allelic variation in xylem genes with wood properties inEucalyptus nitens. Australian Forestry. 73(4). 259–264. 21 indexed citations
13.
Thumma, Bala R., Bronwyn Matheson, Deqiang Zhang, et al.. (2009). Identification of aCis-Acting Regulatory Polymorphism in a EucalyptCOBRA-Like Gene Affecting Cellulose Content. Genetics. 183(3). 1153–1164. 75 indexed citations
14.
Thumma, Bala R., Simon G. Southerton, J. C. Bell, et al.. (2009). Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens. Tree Genetics & Genomes. 6(2). 305–317. 68 indexed citations
15.
Thumma, Bala R., et al.. (2005). Polymorphisms in Cinnamoyl CoA Reductase (CCR) Are Associated With Variation in Microfibril Angle in Eucalyptus spp.. Genetics. 171(3). 1257–1265. 178 indexed citations
16.
Thumma, Bala R., et al.. (2001). Identification of causal relationships among traits related to drought resistance in Stylosanthes scabra using QTL analysis. Journal of Experimental Botany. 52(355). 203–214. 69 indexed citations
17.
Thumma, Bala R., et al.. (2001). Identification of causal relationships among traits related to drought resistance in Stylosanthes scabra using QTL analysis. Journal of Experimental Botany. 52(355). 203–214. 15 indexed citations
18.
Thumma, Bala R., et al.. (1998). Transpiration effciency and its relationship with carbon isotope discrimination under well-watered and water-stressed conditions in Stylosanthes scabra. Australian Journal of Agricultural Research. 49(7). 1039–1046. 22 indexed citations
19.
Naidu, Bodapati P., et al.. (1997). Pasture species selection for revegetation of open-cut coal mine areas in central Queensland, Australia. International Journal of Surface Mining Reclamation and Environment. 11(1). 21–25. 2 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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