Brett Chapman

3.8k total citations
18 papers, 751 citations indexed

About

Brett Chapman is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Brett Chapman has authored 18 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 9 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Brett Chapman's work include Genomics and Phylogenetic Studies (6 papers), Plant Disease Resistance and Genetics (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Brett Chapman is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Plant Disease Resistance and Genetics (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Brett Chapman collaborates with scholars based in Australia, China and Canada. Brett Chapman's co-authors include Dinah Qutob, Mark Gijzen, M. Bellgard, Ian Atkinson, P. Moy, Roberto A. Barrero, Paula Moolhuijzen, Andrew K. Swanson, J. E. Brandle and Alex Richman and has published in prestigious journals such as Nature Communications, PLoS ONE and The Plant Journal.

In The Last Decade

Brett Chapman

18 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brett Chapman Australia	15	489	296	62	46	41	18	751
Hunter S. Beard United States	14	666 1.4×	215 0.7×	59 1.0×	20 0.4×	17 0.4×	22	796
Elisabeth Gonzáles Brazil	18	128 0.3×	148 0.5×	26 0.4×	46 1.0×	54 1.3×	53	1.0k
Shiping Zhu China	16	364 0.7×	319 1.1×	32 0.5×	10 0.2×	15 0.4×	27	562
Krzysztof Damaziak Poland	15	194 0.4×	87 0.3×	15 0.2×	41 0.9×	13 0.3×	59	710
M. S. Lopes Portugal	14	876 1.8×	271 0.9×	93 1.5×	64 1.4×	28 0.7×	29	1.2k
Juliano César de Paula Dorigam Brazil	16	122 0.2×	73 0.2×	43 0.7×	31 0.7×	16 0.4×	67	731
Rex W. Newkirk Canada	15	442 0.9×	226 0.8×	10 0.2×	149 3.2×	8 0.2×	36	957
H. A. Al-Batshan Saudi Arabia	13	131 0.3×	70 0.2×	11 0.2×	67 1.5×	20 0.5×	32	715
D. Mendonça Portugal	13	489 1.0×	193 0.7×	83 1.3×	33 0.7×	27 0.7×	27	768
Jorge Maurı́cio Costa Mondego Brazil	16	438 0.9×	247 0.8×	61 1.0×	15 0.3×	24 0.6×	34	703

Countries citing papers authored by Brett Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Brett Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Chapman

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

All Works

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18 of 18 papers shown

Feng, Hao, Yong Jia, Tianhua He, et al.. (2025). Hordeum I genome unlocks adaptive evolution and genetic potential for crop improvement. Nature Plants. 11(3). 438–452. 4 indexed citations

Jia, Yong, Haifei Hu, Brett Chapman, et al.. (2023). Comparative gene retention analysis in barley, wild emmer, and bread wheat pangenome lines reveals factors affecting gene retention following gene duplication. BMC Biology. 21(1). 25–25. 14 indexed citations

Bayer, Philipp E., Jakob Petereit, Cécile Monat, et al.. (2022). Wheat Panache: A pangenome graph database representing presence–absence variation across sixteen bread wheat genomes. The Plant Genome. 15(3). e20221–e20221. 30 indexed citations

Barrero, Roberto A., Felix D. Guerrero, Michael L. Black, et al.. (2017). Gene-enriched draft genome of the cattle tick Rhipicephalus microplus: assembly by the hybrid Pacific Biosciences/Illumina approach enabled analysis of the highly repetitive genome. International Journal for Parasitology. 47(9). 569–583. 45 indexed citations

Chapman, Brett & M. Bellgard. (2017). Plant Proteogenomics: Improvements to the Grapevine Genome Annotation. PROTEOMICS. 17(21). 16 indexed citations

Prade, Verena M., Heidrun Gundlach, Sven Twardziok, et al.. (2017). The pseudogenes of barley. The Plant Journal. 93(3). 502–514. 15 indexed citations

Diapari, Marwan, Fuqiang Yin, Brett Chapman, et al.. (2016). Genomic Analysis of Storage Protein Deficiency in Genetically Related Lines of Common Bean (Phaseolus vulgaris). Frontiers in Plant Science. 7. 389–389. 10 indexed citations

Na, Ren, Dan Yu, Brett Chapman, et al.. (2014). Genome Re-Sequencing and Functional Analysis Places the Phytophthora sojae Avirulence Genes Avr1c and Avr1a in a Tandem Repeat at a Single Locus. PLoS ONE. 9(2). e89738–e89738. 29 indexed citations

Chapman, Brett & M. Bellgard. (2014). High‐throughput parallel proteogenomics: A bacterial case study. PROTEOMICS. 14(23-24). 2780–2789. 15 indexed citations

10.

Chapman, Brett, Natalie Castellana, Alex Apffel, et al.. (2013). Plant Proteogenomics: From Protein Extraction to Improved Gene Predictions. Methods in molecular biology. 1002. 267–294. 14 indexed citations

11.

Qutob, Dinah, Brett Chapman, & Mark Gijzen. (2013). Transgenerational gene silencing causes gain of virulence in a plant pathogen. Nature Communications. 4(1). 1349–1349. 114 indexed citations

12.

Bellgard, M., et al.. (2013). Classification of fish samples via an integrated proteomics and bioinformatics approach. PROTEOMICS. 13(21). 3124–3130. 4 indexed citations

13.

Liao, Dengqun, Agnieszka Pająk, Steven R. Karcz, et al.. (2012). Transcripts of sulphur metabolic genes are co-ordinately regulated in developing seeds of common bean lacking phaseolin and major lectins. Journal of Experimental Botany. 63(17). 6283–6295. 16 indexed citations

14.

Black, Michael L., Paula Moolhuijzen, Brett Chapman, et al.. (2012). The Genetics of Symbiotic Nitrogen Fixation: Comparative Genomics of 14 Rhizobia Strains by Resolution of Protein Clusters. Genes. 3(1). 138–166. 65 indexed citations

15.

Barrero, Roberto A., Brett Chapman, Yanfang Yang, et al.. (2011). De novo assembly of Euphorbia fischeriana root transcriptome identifies prostratin pathway related genes. BMC Genomics. 12(1). 600–600. 74 indexed citations

16.

Bellgard, M., Tom La, Paula Moolhuijzen, et al.. (2010). The Complete Genome Sequence of the Pathogenic Intestinal Spirochete Brachyspira pilosicoli and Comparison with Other Brachyspira Genomes. PLoS ONE. 5(7). e11455–e11455. 43 indexed citations

17.

Moy, P., Dinah Qutob, Brett Chapman, Ian Atkinson, & Mark Gijzen. (2004). Patterns of Gene Expression Upon Infection of Soybean Plants byPhytophthora sojae. Molecular Plant-Microbe Interactions. 17(10). 1051–1062. 173 indexed citations

18.

Brandle, J. E., Alex Richman, Andrew K. Swanson, & Brett Chapman. (2002). Leaf ESTs from Stevia rebaudiana: a resource for gene discovery in diterpene synthesis. Plant Molecular Biology. 50(4-5). 613–622. 70 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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