M. K. Grimmer

1.3k total citations
18 papers, 703 citations indexed

About

M. K. Grimmer is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. K. Grimmer has authored 18 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 4 papers in Cell Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. K. Grimmer's work include Plant Virus Research Studies (6 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fungal Plant Pathogen Control (3 papers). M. K. Grimmer is often cited by papers focused on Plant Virus Research Studies (6 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fungal Plant Pathogen Control (3 papers). M. K. Grimmer collaborates with scholars based in United Kingdom, United States and Switzerland. M. K. Grimmer's co-authors include N. D. Paveley, J. Foulkes, Anish Arora, S. Bibyk, Prabal Dutta, David Culler, Frank van den Bosch, Stephen J. Powers, M. J. C. Asher and Mark I. Stevens and has published in prestigious journals such as Environmental Science & Technology, Water Research and Journal of Experimental Botany.

In The Last Decade

M. K. Grimmer

18 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. K. Grimmer United Kingdom	13	402	116	95	92	82	18	703
Yongliang Qiao China	22	719 1.8×	32 0.3×	20 0.2×	47 0.5×	73 0.9×	70	1.6k
Weizheng Shen China	21	305 0.8×	30 0.3×	26 0.3×	37 0.4×	57 0.7×	76	1.1k
Amadou Bâ France	23	1.1k 2.6×	33 0.3×	202 2.1×	27 0.3×	94 1.1×	76	1.3k
Chunlei Xia China	17	365 0.9×	20 0.2×	11 0.1×	87 0.9×	71 0.9×	47	860
Matthew J. Ryan United Kingdom	17	295 0.7×	43 0.4×	66 0.7×	24 0.3×	279 3.4×	51	964
Leifeng Guo China	17	307 0.8×	58 0.5×	12 0.1×	29 0.3×	44 0.5×	61	1.0k
Dionisio Andújar Spain	25	1.2k 3.0×	22 0.2×	39 0.4×	23 0.3×	55 0.7×	65	1.7k
Ida Marie Lindhardt Drejer Storm Denmark	8	269 0.7×	25 0.2×	110 1.2×	11 0.1×	38 0.5×	11	551
D. Downey United States	12	678 1.7×	12 0.1×	24 0.3×	44 0.5×	55 0.7×	32	920

Countries citing papers authored by M. K. Grimmer

Since Specialization

Citations

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

Fields of papers citing papers by M. K. Grimmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. K. Grimmer

This figure shows the co-authorship network connecting the top 25 collaborators of M. K. Grimmer. A scholar is included among the top collaborators of M. K. Grimmer 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. K. Grimmer. M. K. Grimmer 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

Paveley, N. D., M. K. Grimmer, Stephen J. Powers, & Frank van den Bosch. (2014). Improving the predictive power of fungicide resistance risk assessment. Rothamsted Repository (Rothamsted Repository). 1 indexed citations

Thoe, W., et al.. (2014). Predicting water quality at Santa Monica Beach: Evaluation of five different models for public notification of unsafe swimming conditions. Water Research. 67. 105–117. 69 indexed citations

Thoe, W., et al.. (2014). Sunny with a Chance of Gastroenteritis: Predicting Swimmer Risk at California Beaches. Environmental Science & Technology. 49(1). 423–431. 32 indexed citations

Grimmer, M. K., Lesley A. Boyd, S Clarke, & N. D. Paveley. (2014). Pyramiding of partial disease resistance genes has a predictable, but diminishing, benefit to efficacy. Plant Pathology. 64(3). 748–753. 7 indexed citations

Grimmer, M. K., Frank van den Bosch, Stephen J. Powers, & N. D. Paveley. (2014). Fungicide resistance risk assessment based on traits associated with the rate of pathogen evolution. Pest Management Science. 71(2). 207–215. 56 indexed citations

Grimmer, M. K., Frank van den Bosch, Stephen J. Powers, & N. D. Paveley. (2013). Evaluation of a matrix to calculate fungicide resistance risk. Pest Management Science. 70(6). 1008–1016. 45 indexed citations

Grimmer, M. K., et al.. (2013). Quantifying the non-fungicidal effects of foliar applications of fluxapyroxad (Xemium) on stomatal conductance, water use efficiency and yield in winter wheat.. PubMed. 78(3). 523–35. 14 indexed citations

Grimmer, M. K., J. Foulkes, & N. D. Paveley. (2012). Foliar pathogenesis and plant water relations: a review. Journal of Experimental Botany. 63(12). 4321–4331. 110 indexed citations

McGrann, Graham, M. K. Grimmer, Euphemia Mutasa-Gottgens, & Mark I. Stevens. (2009). Progress towards the understanding and control of sugar beet rhizomania disease. Molecular Plant Pathology. 10(1). 129–141. 67 indexed citations

10.

Grimmer, M. K., Thomas Kraft, Sally Francis, & M. J. C. Asher. (2008). QTL mapping of BNYVV resistance from the WB258 source in sugar beet. Plant Breeding. 127(6). 650–652. 22 indexed citations

11.

Asher, M. J. C., et al.. (2008). Selection and characterization of resistance to Polymyxa betae , vector of Beet necrotic yellow vein virus , derived from wild sea beet. Plant Pathology. 58(2). 250–260. 7 indexed citations

12.

Grimmer, M. K., et al.. (2008). Beet mild yellowing virus resistance derived from wild and cultivated Beta germplasm. Plant Breeding. 127(3). 315–318. 4 indexed citations

13.

Grimmer, M. K., et al.. (2008). The action of three Beet yellows virus resistance QTLs depends on alleles at a novel genetic locus that controls symptom development. Plant Breeding. 127(4). 391–397. 10 indexed citations

14.

Grimmer, M. K., Sviatlana Trybush, Steven J. Hanley, et al.. (2007). An anchored linkage map for sugar beet based on AFLP, SNP and RAPD markers and QTL mapping of a new source of resistance to Beet necrotic yellow vein virus. Theoretical and Applied Genetics. 114(7). 1151–1160. 53 indexed citations

15.

Grimmer, M. K., et al.. (2007). Mapping of five resistance genes to sugar-beet powdery mildew using AFLP and anchored SNP markers. Theoretical and Applied Genetics. 115(1). 67–75. 17 indexed citations

16.

Trybush, Sviatlana, Steven J. Hanley, Kang‐Hyun Cho, et al.. (2006). Getting the most out of fluorescent amplified fragment length polymorphism. Canadian Journal of Botany. 84(8). 1347–1354. 32 indexed citations

17.

Dutta, Prabal, M. K. Grimmer, Anish Arora, S. Bibyk, & David Culler. (2005). Design of a wireless sensor network platform for detecting rare, random, and ephemeral events. 497–502. 136 indexed citations

18.

Pickering, D, R.D. Hall, & M. K. Grimmer. (1986). Accidents at rural t junctions. ePrints Soton (University of Southampton). 21 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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