Mark A. Mikel

2.6k total citations
36 papers, 1.1k citations indexed

About

Mark A. Mikel is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Mark A. Mikel has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 16 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Mark A. Mikel's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetics and Plant Breeding (13 papers) and Wheat and Barley Genetics and Pathology (7 papers). Mark A. Mikel is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetics and Plant Breeding (13 papers) and Wheat and Barley Genetics and Pathology (7 papers). Mark A. Mikel collaborates with scholars based in United States, Iran and Australia. Mark A. Mikel's co-authors include J. W. Dudley, Alvaro G. Hernandez, James V. Anderson, David P. Horvath, Shawn M. Kaeppler, Natalia de León, Fei Lü, Edward S. Buckler, Omer Barad and Randall L. Nelson and has published in prestigious journals such as Nature Communications, The Plant Cell and Genetics.

In The Last Decade

Mark A. Mikel

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Mikel United States 19 1.0k 483 281 123 51 36 1.1k
Louise S. O’Donoughue Canada 22 1.5k 1.5× 628 1.3× 386 1.4× 108 0.9× 51 1.0× 42 1.6k
Judith M. Kolkman United States 19 1.2k 1.2× 373 0.8× 315 1.1× 201 1.6× 42 0.8× 27 1.3k
Nikolai M. Adamski United Kingdom 16 1.5k 1.4× 315 0.7× 532 1.9× 147 1.2× 36 0.7× 21 1.6k
Shivali Sharma India 23 1.9k 1.8× 322 0.7× 277 1.0× 169 1.4× 125 2.5× 105 2.0k
B. C. Viraktamath India 21 1.1k 1.1× 369 0.8× 239 0.9× 37 0.3× 50 1.0× 58 1.2k
P. Nicolas France 21 1.2k 1.1× 256 0.5× 401 1.4× 82 0.7× 64 1.3× 31 1.3k
Amy Frary United States 10 1.3k 1.3× 530 1.1× 609 2.2× 37 0.3× 60 1.2× 15 1.6k
Hideyuki Hirabayashi Japan 20 1.1k 1.1× 549 1.1× 131 0.5× 41 0.3× 118 2.3× 39 1.2k
Melissa H. Jia United States 20 1.1k 1.1× 604 1.3× 366 1.3× 38 0.3× 44 0.9× 48 1.3k
M. Fregene Colombia 21 1.5k 1.5× 179 0.4× 155 0.6× 51 0.4× 38 0.7× 32 1.6k

Countries citing papers authored by Mark A. Mikel

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Mikel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Mikel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Mikel. A scholar is included among the top collaborators of Mark A. Mikel 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 Mark A. Mikel. Mark A. Mikel 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.
Coletta, Rafael Della, Samuel B. Fernandes, Patrick J. Monnahan, et al.. (2023). Importance of genetic architecture in marker selection decisions for genomic prediction. Theoretical and Applied Genetics. 136(11). 220–220. 5 indexed citations
2.
3.
Doğramacı, Münevver, James V. Anderson, Wun S. Chao, et al.. (2017). Foliar Glyphosate Treatment Alters Transcript and Hormone Profiles in Crown Buds of Leafy Spurge and Induces Dwarfed and Bushy Phenotypes throughout its Perennial Lifecycle. The Plant Genome. 10(3). 7 indexed citations
4.
Hirsch, Candice N., Cory D. Hirsch, Alex B. Brohammer, et al.. (2016). Draft Assembly of Elite Inbred Line PH207 Provides Insights into Genomic and Transcriptome Diversity in Maize. The Plant Cell. 28(11). 2700–2714. 107 indexed citations
5.
Doğramacı, Münevver, Michael E Foley, David P. Horvath, et al.. (2015). Glyphosate’s impact on vegetative growth in leafy spurge identifies molecular processes and hormone cross-talk associated with increased branching. BMC Genomics. 16(1). 395–395. 33 indexed citations
6.
Lü, Fei, M. Cinta Romay, Jeffrey C. Glaubitz, et al.. (2015). High-resolution genetic mapping of maize pan-genome sequence anchors. Nature Communications. 6(1). 6914–6914. 135 indexed citations
7.
Mikel, Mark A.. (2013). Ancestry and characterization of U.S. contemporary proprietary garden pea (Pisum sativum L. convar. medullare Alef.) germplasm. Genetic Resources and Crop Evolution. 60(8). 2207–2217. 3 indexed citations
8.
Anderson, James V., Münevver Doğramacı, David P. Horvath, et al.. (2012). Auxin and ABA act as central regulators of developmental networks associated with paradormancy in Canada thistle (Cirsium arvense). Functional & Integrative Genomics. 12(3). 515–531. 18 indexed citations
9.
Mikel, Mark A.. (2011). Genetic Composition of Contemporary U.S. Commercial Dent Corn Germplasm. Crop Science. 51(2). 592–599. 51 indexed citations
10.
Troyer, A. Forrest & Mark A. Mikel. (2010). Minnesota Corn Breeding History: Department of Agronomy & Plant Genetics Centennial. Crop Science. 50(4). 1141–1150. 5 indexed citations
11.
Mikel, Mark A.. (2008). Genetic Diversity and Improvement of Contemporary Proprietary North American Dent Corn. Crop Science. 48(5). 1686–1695. 30 indexed citations
12.
Mikel, Mark A. & F. L. Kolb. (2008). Genetic Diversity of Contemporary North American Barley. Crop Science. 48(4). 1399–1407. 23 indexed citations
13.
Mott, Ivan W., Steven R. Larson, B. Shaun Bushman, et al.. (2008). Gene expression polymorphisms and ESTs associated with gravitropic response of subterranean branch meristems and growth habit in Leymus wildryes. Plant Science. 175(3). 330–338. 5 indexed citations
14.
Lokko, Y., James V. Anderson, Stephen Rudd, et al.. (2007). Characterization of an 18,166 EST dataset for cassava (Manihot esculenta Crantz) enriched for drought-responsive genes. Plant Cell Reports. 26(9). 1605–1618. 82 indexed citations
15.
Mikel, Mark A.. (2007). Genealogy of Contemporary North American Lettuce. HortScience. 42(3). 489–493. 37 indexed citations
16.
Mikel, Mark A. & J. W. Dudley. (2006). Evolution of North American Dent Corn from Public to Proprietary Germplasm. Crop Science. 46(3). 1193–1205. 166 indexed citations
17.
Mikel, Mark A.. (2006). Availability and Analysis of Proprietary Dent Corn Inbred Lines with Expired U.S. Plant Variety Protection. Crop Science. 46(6). 2555–2560. 39 indexed citations
18.
Mikel, Mark A.. (1984). Genetics of Resistance of Two Dent Corn Inbreds to Maize Dwarf Mosaic Virus and Transfer of Resistance into Sweet Corn. Phytopathology. 74(4). 467–467. 27 indexed citations
19.
Mikel, Mark A., Cleora J. D’Arcy, A. M. Rhodes, Edward E. Carey, & John A. Juvik. (1983). Sugary (su) Sweet Corn Germplasm with Resistance to the Maize Dwarf Mosaic Virus. HortScience. 18(6). 964–965. 3 indexed citations
20.
Juvik, John A., Mark A. Mikel, Edward E. Carey, & A. M. Rhodes. (1983). Release of Six Illinois Sweet Corn Inbreds with the Sugary Enhancer (se) Gene. HortScience. 18(6). 965–966. 2 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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