Nicola Bonar

944 total citations
8 papers, 659 citations indexed

About

Nicola Bonar is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Nicola Bonar has authored 8 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Nicola Bonar's work include Wheat and Barley Genetics and Pathology (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant Disease Resistance and Genetics (3 papers). Nicola Bonar is often cited by papers focused on Wheat and Barley Genetics and Pathology (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant Disease Resistance and Genetics (3 papers). Nicola Bonar collaborates with scholars based in United Kingdom, United States and Italy. Nicola Bonar's co-authors include Robbie Waugh, Arnis Druka, Udda Lundqvist, J. D. Franckowiak, Jordi Comadran, Kelly Houston, Timothy J. Close, David Marshall, Craig G. Simpson and Gary J. Muehlbauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Nicola Bonar

8 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicola Bonar United Kingdom	7	620	229	220	89	21	8	659
Naoki Shitsukawa Japan	14	691 1.1×	320 1.4×	135 0.6×	155 1.7×	35 1.7×	16	727
Yameng Liang China	9	678 1.1×	247 1.1×	440 2.0×	71 0.8×	11 0.5×	13	763
Ghanta Anuradha India	13	625 1.0×	84 0.4×	175 0.8×	50 0.6×	12 0.6×	18	664
S. Melia-Hancock United States	5	511 0.8×	118 0.5×	361 1.6×	44 0.5×	15 0.7×	6	560
Boulos Chalhoub France	7	632 1.0×	198 0.9×	140 0.6×	46 0.5×	34 1.6×	8	667
Carole Confolent France	10	462 0.7×	153 0.7×	104 0.5×	51 0.6×	35 1.7×	12	501
Guowei Zhai China	8	288 0.5×	102 0.4×	193 0.9×	81 0.9×	5 0.2×	16	364
Xiaojiao Hu China	13	424 0.7×	164 0.7×	270 1.2×	70 0.8×	6 0.3×	21	509
Cécile Huneau France	10	760 1.2×	365 1.6×	170 0.8×	35 0.4×	37 1.8×	14	796
Tatsumi Mizubayashi Japan	11	545 0.9×	92 0.4×	348 1.6×	49 0.6×	14 0.7×	19	585

Countries citing papers authored by Nicola Bonar

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Bonar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Bonar

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

All Works

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8 of 8 papers shown

1.

Bonar, Nicola, Runxuan Zhang, Diane Davidson, et al.. (2018). Potato miR828 Is Associated With Purple Tuber Skin and Flesh Color. Frontiers in Plant Science. 9. 1742–1742. 53 indexed citations

2.

Κατσαρού, Κωνσταντίνα, Yun Wu, Runxuan Zhang, et al.. (2016). Insight on Genes Affecting Tuber Development in Potato upon Potato spindle tuber viroid (PSTVd) Infection. PLoS ONE. 11(3). e0150711–e0150711. 31 indexed citations

3.

Houston, Kelly, Sarah M. McKim, Jordi Comadran, et al.. (2013). Variation in the interaction between alleles of HvAPETALA2 and microRNA172 determines the density of grains on the barley inflorescence. Proceedings of the National Academy of Sciences. 110(41). 16675–16680. 108 indexed citations

4.

Ramsay, Luke, Jordi Comadran, Arnis Druka, et al.. (2011). INTERMEDIUM-C, a modifier of lateral spikelet fertility in barley, is an ortholog of the maize domestication gene TEOSINTE BRANCHED 1. Nature Genetics. 43(2). 169–172. 249 indexed citations

5.

Druka, Arnis, J. D. Franckowiak, Udda Lundqvist, et al.. (2010). Exploiting induced variation to dissect quantitative traits in barley. Biochemical Society Transactions. 38(2). 683–688. 5 indexed citations

6.

Druka, Arnis, J. D. Franckowiak, Udda Lundqvist, et al.. (2010). Genetic Dissection of Barley Morphology and Development . PLANT PHYSIOLOGY. 155(2). 617–627. 161 indexed citations

7.

Druka, Arnis, Hongqiang Li, Zhaohui Sun, et al.. (2008). Towards systems genetic analyses in barley: Integration of phenotypic, expression and genotype data into GeneNetwork. BMC Genetics. 9(1). 73–73. 16 indexed citations

8.

Druka, Arnis, Elena Potokina, Zewei Luo, et al.. (2008). Exploiting regulatory variation to identify genes underlying quantitative resistance to the wheat stem rust pathogen Puccinia graminis f. sp. tritici in barley. Theoretical and Applied Genetics. 117(2). 261–272. 36 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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