Monica A. Menz

2.2k total citations
30 papers, 1.6k citations indexed

About

Monica A. Menz is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Monica A. Menz has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 15 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Monica A. Menz's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Plant Disease Resistance and Genetics (9 papers) and Wheat and Barley Genetics and Pathology (8 papers). Monica A. Menz is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Plant Disease Resistance and Genetics (9 papers) and Wheat and Barley Genetics and Pathology (8 papers). Monica A. Menz collaborates with scholars based in United States, Switzerland and France. Monica A. Menz's co-authors include Patricia E. Klein, Robert R. Klein, John E. Mullet, Yehoshua Saranga, Robert Wright, William L. Rooney, David M. Stelly, Andrew H. Paterson, Chunxiao Jiang and Dan Yakir and has published in prestigious journals such as Genetics, Genome Research and Genome biology.

In The Last Decade

Monica A. Menz

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica A. Menz United States 20 1.4k 738 325 240 107 30 1.6k
Dragan Perović Germany 21 1.8k 1.4× 534 0.7× 192 0.6× 450 1.9× 99 0.9× 86 2.0k
Imad A. Eujayl United States 16 1.3k 1.0× 419 0.6× 80 0.2× 277 1.2× 111 1.0× 43 1.5k
Tom Blake United States 27 2.0k 1.5× 738 1.0× 259 0.8× 414 1.7× 26 0.2× 59 2.3k
Jean‐François Rami France 22 1.3k 0.9× 641 0.9× 379 1.2× 203 0.8× 50 0.5× 44 1.6k
M. Lee United States 24 1.5k 1.1× 1.1k 1.5× 340 1.0× 230 1.0× 21 0.2× 34 1.8k
R. Appels Australia 26 1.9k 1.4× 490 0.7× 194 0.6× 439 1.8× 51 0.5× 53 2.1k
Yongfu Tao Australia 18 983 0.7× 594 0.8× 295 0.9× 287 1.2× 30 0.3× 36 1.2k
T. K. Blake United States 19 1.2k 0.9× 537 0.7× 140 0.4× 202 0.8× 19 0.2× 34 1.3k
Mark A. Mikel United States 19 1.0k 0.7× 483 0.7× 123 0.4× 281 1.2× 31 0.3× 36 1.1k
Shivali Sharma India 23 1.9k 1.4× 322 0.4× 169 0.5× 277 1.2× 19 0.2× 105 2.0k

Countries citing papers authored by Monica A. Menz

Since Specialization
Citations

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

Fields of papers citing papers by Monica A. Menz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica A. Menz. 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 Monica A. Menz. The network helps show where Monica A. Menz may publish in the future.

Co-authorship network of co-authors of Monica A. Menz

This figure shows the co-authorship network connecting the top 25 collaborators of Monica A. Menz. A scholar is included among the top collaborators of Monica A. Menz 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 Monica A. Menz. Monica A. Menz 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.
Lehermeier, Christina, Nicole Krämer, Eva Bauer, et al.. (2014). Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction. Genetics. 198(1). 3–16. 96 indexed citations
2.
Bauer, Eva, Matthieu Falque, Hildrun Walter, et al.. (2013). Intraspecific variation of recombination rate in maize. Genome biology. 14(9). 156 indexed citations
3.
Coors, J. G., et al.. (2013). Quantitative Trait Loci for Ruminal Degradability in opaque endosperm2 (o2) Maize. Crop Science. 53(2). 378–384. 2 indexed citations
4.
Burrell, A. Millie, et al.. (2011). A comparative genomic map for Caulanthus amplexicaulis and related species (Brassicaceae). Molecular Ecology. 20(4). 784–798. 13 indexed citations
5.
Robinson, A. F., et al.. (2009). Linkage Mapping of Resistance to Reniform Nematode in Cotton following Introgression from (Hutch. & Lee). 4 indexed citations
6.
7.
Jackson, Eric W., D. E. Obert, Monica A. Menz, Gongshe Hu, & J. M. Bonman. (2008). Qualitative and quantitative trait loci conditioning resistance to Puccinia coronata pathotypes NQMG and LGCG in the oat (Avena sativa L.) cultivars Ogle and TAM O-301. Theoretical and Applied Genetics. 116(4). 517–527. 22 indexed citations
8.
Perumal, Ramasamy, et al.. (2007). Genetic Diversity among Sorghum Races and Working Groups Based on AFLPs and SSRs. Crop Science. 47(4). 1375–1383. 26 indexed citations
9.
Robinson, A. F., et al.. (2007). Introgression of Resistance to Nematode Rotylenchulus reniformis into Upland Cotton (Gossypium hirsutum) from Gossypium longicalyx. Crop Science. 47(5). 1865–1877. 60 indexed citations
10.
Robinson, A. F., et al.. (2007). Introgression of Resistance to Nematode into Upland Cotton () from. 4 indexed citations
11.
Rollinger, Judith M., et al.. (2007). Constituents from Morus root bark against Venturia inaequalis – the causal agent of apple scab. Planta Medica. 73(9). 1 indexed citations
12.
Hale, Anna L., Mark W. Farnham, & Monica A. Menz. (2006). Use of PCR-based Markers for Differentiating Elite Broccoli Inbreds. Journal of the American Society for Horticultural Science. 131(3). 418–423. 20 indexed citations
13.
Perumal, Ramasamy, et al.. (2006). Characterization and genetic distance analysis of isolates of Peronosclerospora sorghi using AFLP fingerprinting. Mycological Research. 110(4). 471–478. 12 indexed citations
14.
Mullet, John E., Patricia E. Klein, Robert R. Klein, et al.. (2005). Sorghum and the genetic basis of drought tolerance. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 141. 2 indexed citations
15.
Obert, D. E., et al.. (2005). Identification and molecular tagging of a gene from PI 289824 conferring resistance to leaf rust (Puccinia triticina) in wheat. Theoretical and Applied Genetics. 110(8). 1439–1444. 21 indexed citations
16.
Saranga, Yehoshua, et al.. (2003). QTL analysis of genotype × environment interactions affecting cotton fiber quality. Theoretical and Applied Genetics. 106(3). 384–396. 215 indexed citations
17.
Menz, Monica A., et al.. (2002). A high-density genetic map of Sorghum bicolor (L.) Moench based on 2926 AFLP®, RFLP and SSR markers. Plant Molecular Biology. 48(5-6). 483–499. 171 indexed citations
18.
Islam‐Faridi, M. Nurul, Kevin L. Childs, Patricia E. Klein, et al.. (2002). A Molecular Cytogenetic Map of Sorghum Chromosome 1: Fluorescence in Situ Hybridization Analysis With Mapped Bacterial Artificial Chromosomes. Genetics. 161(1). 345–353. 75 indexed citations
19.
Childs, Kevin L., M. Nurul Islam‐Faridi, Monica A. Menz, et al.. (2002). Integrated karyotyping of sorghum by in situ hybridization of landed BACs. Genome. 45(2). 402–412. 72 indexed citations
20.
Saranga, Yehoshua, Monica A. Menz, Chunxiao Jiang, et al.. (2001). Genomic Dissection of Genotype × Environment Interactions Conferring Adaptation of Cotton to Arid Conditions. Genome Research. 11(12). 1988–1995. 127 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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