J. B. Brouwer

2.5k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

J. B. Brouwer is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, J. B. Brouwer has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in J. B. Brouwer's work include Genetic and Environmental Crop Studies (10 papers), Agricultural pest management studies (9 papers) and Soybean genetics and cultivation (6 papers). J. B. Brouwer is often cited by papers focused on Genetic and Environmental Crop Studies (10 papers), Agricultural pest management studies (9 papers) and Soybean genetics and cultivation (6 papers). J. B. Brouwer collaborates with scholars based in Australia, United Kingdom and Philippines. J. B. Brouwer's co-authors include E. C. K. Pang, B. C. Y. Collard, M. Z. Z. Jahufer, P. W. J. Taylor, Ε. H. Roberts, R. J. Summerfield, Aiming Qi, R. J. Lawn, S. J. Yeates and R. H. Ellis and has published in prestigious journals such as Journal of Applied Ecology, Food Research International and Journal of the Science of Food and Agriculture.

In The Last Decade

J. B. Brouwer

18 papers receiving 1.4k citations

Hit Papers

An introduction to markers, quantitative trait loci (QTL)... 2005 2026 2012 2019 2005 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. B. Brouwer Australia 14 1.4k 449 234 132 107 18 1.5k
Shivali Sharma India 23 1.9k 1.4× 322 0.7× 277 1.2× 169 1.3× 125 1.2× 105 2.0k
Rosana Pereira Vianello Brazil 24 1.2k 0.9× 476 1.1× 214 0.9× 114 0.9× 151 1.4× 77 1.5k
Jean-Pierre Baudoin Belgium 22 1.4k 1.0× 378 0.8× 349 1.5× 125 0.9× 194 1.8× 147 1.8k
G. A. Churchill United States 4 1.2k 0.9× 616 1.4× 291 1.2× 54 0.4× 138 1.3× 6 1.4k
Jinguo Hu United States 21 1.5k 1.1× 419 0.9× 430 1.8× 127 1.0× 163 1.5× 66 1.7k
Rüştü Hatipoğlu Türkiye 16 1.0k 0.8× 341 0.8× 257 1.1× 194 1.5× 115 1.1× 67 1.3k
M. Z. Z. Jahufer New Zealand 16 1.4k 1.1× 543 1.2× 289 1.2× 400 3.0× 124 1.2× 45 1.8k
G. R. Buss United States 29 2.7k 2.0× 211 0.5× 267 1.1× 116 0.9× 95 0.9× 68 2.9k
Elena Bitocchi Italy 24 1.6k 1.2× 324 0.7× 253 1.1× 195 1.5× 155 1.4× 57 1.8k
Ramesh V. Kantety United States 13 1.1k 0.8× 505 1.1× 481 2.1× 71 0.5× 145 1.4× 22 1.5k

Countries citing papers authored by J. B. Brouwer

Since Specialization
Citations

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

Fields of papers citing papers by J. B. Brouwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. B. Brouwer

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

All Works

18 of 18 papers shown
1.
Collard, B. C. Y., M. Z. Z. Jahufer, J. B. Brouwer, & E. C. K. Pang. (2005). An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts. Euphytica. 142(1-2). 169–196. 1081 indexed citations breakdown →
2.
Graham, J. A., Joe Panozzo, Patrick Lim, & J. B. Brouwer. (2002). Effects of gamma irradiation on physical and chemical properties of chickpeas (Cicer arietinum). Journal of the Science of Food and Agriculture. 82(14). 1599–1605. 17 indexed citations
3.
Ford, Rebecca, et al.. (2002). Diversity analysis and genotyping in Pisum with sequence tagged microsatellite site (STMS) primers. Euphytica. 124(3). 397–405. 48 indexed citations
4.
Pang, E. C. K., J. B. Brouwer, & P. W. J. Taylor. (2001). Towards durable Ascochyta blight resistance in chickpea: understanding of the genetics and resistance mechanisms. 1 indexed citations
5.
Nguyen, Tu, P. W. J. Taylor, J. B. Brouwer, E. C. K. Pang, & Rebecca Ford. (2001). . Australasian Plant Pathology. 30(3). 211–211. 28 indexed citations
6.
Collard, B. C. Y., Peter K. Ades, E. C. K. Pang, J. B. Brouwer, & P. W. J. Taylor. (2001). . Australasian Plant Pathology. 30(3). 271–271. 67 indexed citations
7.
Bretag, T. W., et al.. (2000). . Australasian Plant Pathology. 29(2). 102–102. 21 indexed citations
8.
Black, Robert G., et al.. (1998). Variation in physico-chemical properties of field peas (Pisum sativum). Food Research International. 31(2). 81–86. 27 indexed citations
9.
Flinn, Peter, et al.. (1998). Estimating the Food Processing Characteristics of Pulses by near Infrared Spectroscopy, Using Ground or Whole Samples. Journal of Near Infrared Spectroscopy. 6(1). 213–220. 16 indexed citations
10.
Hung, Tran Van, et al.. (1996). The Effects of Fungal Infection on the Chemical and Functional Properties of Chickpeas(Cicer arietinum) and Faba Beans (Vicia faba). Journal of the Science of Food and Agriculture. 70(2). 197–203. 2 indexed citations
11.
Lawn, R. J., R. J. Summerfield, R. H. Ellis, et al.. (1995). Towards the Reliable Prediction of Time to Flowering in Six Annual Crops. VI. Applications in Crop Improvement. Experimental Agriculture. 31(1). 89–108. 40 indexed citations
12.
Ellis, R. H., R. J. Lawn, R. J. Summerfield, et al.. (1994). Towards the Reliable Prediction of Time to Flowering in Six Annual Crops. IV. Cultivated and Wild Mung Bean. Experimental Agriculture. 30(1). 31–43. 24 indexed citations
13.
Ellis, R. H., R. J. Lawn, R. J. Summerfield, et al.. (1994). Towards the Reliable Prediction of Time to Flowering in Six Annual Crops. III. Cowpea Vigna unguiculata. Experimental Agriculture. 30(1). 17–29. 25 indexed citations
14.
Ellis, R. H., R. J. Lawn, R. J. Summerfield, et al.. (1994). Towards the Reliable Prediction of Time to Flowering in Six Annual Crops. V. Chickpea (Cicer arietinum). Experimental Agriculture. 30(3). 271–282. 30 indexed citations
15.
Brouwer, J. B., et al.. (1993). Soil and crop growth micro-variability in the Sahel: boon or bane for farmers and agronomists.. Socio-Environmental Systems Modeling. 1 indexed citations
16.
Summerfield, R. J., R. J. Lawn, Aiming Qi, et al.. (1993). Towards the Reliable Prediction of Time to Flowering in Six Annual Crops. II. Soyabean (Glycine Max). Experimental Agriculture. 29(3). 253–289. 62 indexed citations
17.
Brouwer, J. B., et al.. (1986). Regional variation of Puccinia coronata avenae in Australia and its implications for oat breeding. Annals of Applied Biology. 109(2). 269–277. 5 indexed citations
18.
Burdon, Jeremy J., et al.. (1983). Interactions Between Avena and Puccinia Species. II. The Pathogens: Puccinia coronata CDA and P. graminis Pers. F. Sp. avenae Eriks. & Henn.. Journal of Applied Ecology. 20(2). 585–585. 46 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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