M. J. Kearsey

5.7k total citations · 2 hit papers
84 papers, 4.0k citations indexed

About

M. J. Kearsey is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, M. J. Kearsey has authored 84 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 48 papers in Genetics and 24 papers in Molecular Biology. Recurrent topics in M. J. Kearsey's work include Genetic Mapping and Diversity in Plants and Animals (42 papers), Genetics and Plant Breeding (26 papers) and Wheat and Barley Genetics and Pathology (16 papers). M. J. Kearsey is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (42 papers), Genetics and Plant Breeding (26 papers) and Wheat and Barley Genetics and Pathology (16 papers). M. J. Kearsey collaborates with scholars based in United Kingdom, United States and China. M. J. Kearsey's co-authors include Harpal S. Pooni, L. J. Eaves, P.H. O'Connor Davies, Nicholas G. Martin, Zewei Luo, J L Jinks, Elaine C Howell, Graham J.W. King, Bret Barnes and David Marshall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Journal of Experimental Botany.

In The Last Decade

M. J. Kearsey

83 papers receiving 3.7k citations

Hit Papers

The Genetical Analysis of Quantitative Traits 1978 2026 1994 2010 1996 1978 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Genetical Analysis of Quantitative Traits
    1996 716 citations M. J. Kearsey et al. profile →
  2. The power of the classical twin study
    1978 436 citations M. J. Kearsey et al. Heredity profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. J. Kearsey United Kingdom 32 2.7k 1.9k 949 337 255 84 4.0k
J L Jinks United Kingdom 37 3.3k 1.2× 1.6k 0.8× 731 0.8× 412 1.2× 437 1.7× 116 4.8k
Kenneth Mather United Kingdom 28 2.1k 0.8× 1.8k 1.0× 572 0.6× 802 2.4× 295 1.2× 73 4.3k
John L. Jinks United Kingdom 17 1.9k 0.7× 901 0.5× 538 0.6× 296 0.9× 197 0.8× 23 2.9k
Daniel Cohen New Zealand 30 2.1k 0.8× 566 0.3× 2.0k 2.1× 280 0.8× 79 0.3× 106 4.0k
Sarah Hearne Mexico 28 2.6k 0.9× 1.5k 0.8× 459 0.5× 206 0.6× 366 1.4× 67 3.3k
Sylvie Cloutier Canada 45 5.0k 1.8× 1.5k 0.8× 1.3k 1.4× 264 0.8× 520 2.0× 159 6.5k
E. J. Eisen United States 33 621 0.2× 1.8k 1.0× 479 0.5× 393 1.2× 223 0.9× 153 3.6k
Gabriel Marais France 34 1.6k 0.6× 1.6k 0.8× 1.9k 2.0× 659 2.0× 19 0.1× 63 3.3k
Juan Zalapa United States 27 1.4k 0.5× 825 0.4× 684 0.7× 382 1.1× 201 0.8× 90 2.5k
Robert Sharrock United States 41 4.8k 1.8× 348 0.2× 4.2k 4.5× 346 1.0× 42 0.2× 70 6.6k

Countries citing papers authored by M. J. Kearsey

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Kearsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Kearsey

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Kearsey. A scholar is included among the top collaborators of M. J. Kearsey 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 M. J. Kearsey. M. J. Kearsey 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
1.
Heidari, Bahram, Badraldin Ebrahim Sayed-Tabatabaei, Ghodratollah Saeidi, M. J. Kearsey, & Kazuhiro Suenaga. (2011). Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat. Genome. 54(6). 517–527. 92 indexed citations
2.
Lu, Chenqi, Xiaohua Hu, Guiying Wang, et al.. (2010). Why do essential proteins tend to be clustered in the yeast interactome network?. Molecular BioSystems. 6(5). 871–877. 11 indexed citations
3.
Wang, Minghui, Xiaohua Hu, Gang Li, et al.. (2009). Robust Detection and Genotyping of Single Feature Polymorphisms from Gene Expression Data. PLoS Computational Biology. 5(3). e1000317–e1000317. 11 indexed citations
4.
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
5.
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
6.
Cogan, Noel O. I., H. J. Newbury, James R. Lynn, et al.. (2004). Identification and characterization of QTL controlling Agrobacterium‐mediated transient and stable transformation of Brassica oleracea. Plant Biotechnology Journal. 2(1). 59–69. 13 indexed citations
7.
8.
Kearsey, M. J., et al.. (2003). Genetic mapping of a novel Turnip mosaic virus resistance gene in Brassica napus. Theoretical and Applied Genetics. 3 indexed citations
9.
Kearsey, M. J., et al.. (2003). Genetic mapping of the novel Turnip mosaic virus resistance gene TuRB03 in Brassica napus. Theoretical and Applied Genetics. 107(7). 1169–1173. 40 indexed citations
10.
Cogan, Noel O. I., et al.. (2002). Identification of genetic factors controlling the efficiency of Agrobacterium rhizogenes-mediated transformation in Brassica oleracea by QTL analysis. Theoretical and Applied Genetics. 105(4). 568–576. 13 indexed citations
11.
Kearsey, M. J., et al.. (1998). QTL analysis in plants; where are we now?. Heredity. 80(2). 137–142. 30 indexed citations
12.
Kearsey, M. J.. (1998). The principles of QTL analysis (a minimal mathematics approach). Journal of Experimental Botany. 49(327). 1619–1623. 80 indexed citations
13.
Kearsey, M. J.. (1998). The principles of QTL analysis (a minimal mathematics approach). Journal of Experimental Botany. 49(327). 1619–1623. 10 indexed citations
14.
Kearsey, M. J., et al.. (1994). Correlated response to selection during selfing. Heredity. 73(6). 642–649. 2 indexed citations
15.
Luo, Zewei & M. J. Kearsey. (1992). Interval mapping of quantitative trait loci in an F2 population. Heredity. 69(3). 236–242. 21 indexed citations
16.
17.
Werner, Christian, et al.. (1989). Performance of recombinant inbred lines in Brussels sprouts (Brassica oleracea var. gemmifera). Theoretical and Applied Genetics. 77(4). 527–534. 6 indexed citations
18.
Kearsey, M. J. & Stephen L. Sturley. (1984). A model for the incorporation of epistasis into a computer simulation for three experimental designs. Heredity. 52(3). 373–382. 5 indexed citations
19.
Gale, J. S. & M. J. Kearsey. (1968). Stable equilibria under stabilising selection in the absence of dominance. Heredity. 23(4). 553–561. 23 indexed citations
20.
Kearsey, M. J.. (1965). Biometrical analysis of a random mating population: A comparison of five experimental designs. Heredity. 20(2). 205–235. 65 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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