Mark A. Arick

1.3k total citations
56 papers, 795 citations indexed

About

Mark A. Arick is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Mark A. Arick has authored 56 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 17 papers in Molecular Biology and 15 papers in Endocrinology. Recurrent topics in Mark A. Arick's work include Research in Cotton Cultivation (18 papers), Plant Virus Research Studies (17 papers) and Plant and Fungal Interactions Research (12 papers). Mark A. Arick is often cited by papers focused on Research in Cotton Cultivation (18 papers), Plant Virus Research Studies (17 papers) and Plant and Fungal Interactions Research (12 papers). Mark A. Arick collaborates with scholars based in United States, China and Spain. Mark A. Arick's co-authors include Daniel G. Peterson, Corrinne E. Grover, Jonathan F. Wendel, Mark L. Lawrence, Chuan-Yu Hsu, Joshua A. Udall, Adam Thrash, Susan M. Bridges, Justin L. Conover and Debarati Paul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Analytical Biochemistry.

In The Last Decade

Mark A. Arick

51 papers receiving 783 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. Arick United States 18 377 334 91 81 73 56 795
Li Qin China 15 234 0.6× 352 1.1× 41 0.5× 72 0.9× 25 0.3× 61 726
Alison K. East United Kingdom 23 675 1.8× 349 1.0× 94 1.0× 54 0.7× 22 0.3× 47 1.4k
Youping Yin China 21 516 1.4× 593 1.8× 21 0.2× 62 0.8× 25 0.3× 78 1.2k
Rosa R. Mouriño‐Pérez Mexico 18 452 1.2× 727 2.2× 85 0.9× 47 0.6× 110 1.5× 38 1.2k
Vivek Prasad India 19 1.3k 3.4× 528 1.6× 57 0.6× 123 1.5× 50 0.7× 58 1.6k
François Krier France 16 325 0.9× 624 1.9× 14 0.2× 75 0.9× 236 3.2× 28 1.3k
Guohua Xiao China 13 582 1.5× 803 2.4× 19 0.2× 77 1.0× 20 0.3× 24 1.7k
Xian-Yu Deng China 15 76 0.2× 254 0.8× 22 0.2× 100 1.2× 72 1.0× 31 626

Countries citing papers authored by Mark A. Arick

Since Specialization
Citations

This map shows the geographic impact of Mark A. Arick'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. Arick 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. Arick more than expected).

Fields of papers citing papers by Mark A. Arick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Arick. A scholar is included among the top collaborators of Mark A. Arick 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. Arick. Mark A. Arick 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.
Arick, Mark A., Chuan-Yu Hsu, Heidi J. Renninger, et al.. (2025). Comparative transcriptomic and phenotypic analysis of monoclonal and polyclonal Populus deltoides genotypes. Frontiers in Plant Science. 15. 1498535–1498535.
2.
Hsu, Chuan-Yu, Zenaida V. Magbanua, Oľga Pecháňová, et al.. (2024). Origin and diversity of the wild cottons (Gossypium hirsutum) of Mound Key, Florida. Scientific Reports. 14(1). 14046–14046.
3.
Perkin, Lindsey, Tanya A. Wagner, Jinggao Liu, et al.. (2024). Nematode-resistance loci in upland cotton genomes are associated with structural differences. G3 Genes Genomes Genetics. 14(9). 2 indexed citations
4.
Kayal, Ehsan, Mark A. Arick, Chuan-Yu Hsu, et al.. (2024). Genomic diversity and evolution of the Hawaiian Islands endemic Kokia (Malvaceae). G3 Genes Genomes Genetics. 14(10). 2 indexed citations
5.
Arick, Mark A., Chuan-Yu Hsu, Daniel G. Peterson, et al.. (2024). High-throughput Oxford Nanopore sequencing-based approach for the multilocus sequence typing analysis of large-scale avian Escherichia coli study in Mississippi. Poultry Science. 103(10). 104067–104067. 2 indexed citations
6.
Arick, Mark A., Corrinne E. Grover, Chuan-Yu Hsu, et al.. (2023). A high-quality chromosome-level genome assembly of rohu carp, Labeo rohita , and its utilization in SNP-based exploration of gene flow and sex determination. G3 Genes Genomes Genetics. 13(3). 7 indexed citations
7.
Grover, Corrinne E., Mark A. Arick, Adam Thrash, et al.. (2022). Dual Domestication, Diversity, and Differential Introgression in Old World Cotton Diploids. Genome Biology and Evolution. 14(12). 11 indexed citations
8.
Grover, Corrinne E., Evan S. Forsythe, Joel Sharbrough, et al.. (2022). Variation in cytonuclear expression accommodation among allopolyploid plants. Genetics. 222(2). 9 indexed citations
9.
Ramaraj, Thiruvarangan, Corrinne E. Grover, Mark A. Arick, et al.. (2022). The Gossypium herbaceum L. Wagad genome as a resource for understanding cotton domestication. G3 Genes Genomes Genetics. 13(2). 3 indexed citations
10.
Grover, Corrinne E., Daojun Yuan, Mark A. Arick, et al.. (2021). The Gossypium stocksii genome as a novel resource for cotton improvement. G3 Genes Genomes Genetics. 11(7). 7 indexed citations
11.
Grover, Corrinne E., Daojun Yuan, Mark A. Arick, et al.. (2021). The Gossypium anomalum genome as a resource for cotton improvement and evolutionary analysis of hybrid incompatibility. G3 Genes Genomes Genetics. 11(11). 12 indexed citations
12.
Takáč, Tomáš, Pavel Křenek, George Komis, et al.. (2021). TALEN-Based HvMPK3 Knock-Out Attenuates Proteome and Root Hair Phenotypic Responses to flg22 in Barley. Frontiers in Plant Science. 12. 666229–666229. 10 indexed citations
13.
Grover, Corrinne E., Mengqiao Pan, Daojun Yuan, et al.. (2020). The Gossypium longicalyx Genome as a Resource for Cotton Breeding and Evolution. G3 Genes Genomes Genetics. 10(5). 1457–1467. 23 indexed citations
14.
Hu, Guanjing, Corrinne E. Grover, Mark A. Arick, et al.. (2020). Homoeologous gene expression and co-expression network analyses and evolutionary inference in allopolyploids. Briefings in Bioinformatics. 22(2). 1819–1835. 31 indexed citations
15.
Udall, Joshua A., Evan Long, Daojun Yuan, et al.. (2019). De Novo Genome Sequence Assemblies of Gossypium raimondii and Gossypium turneri. G3 Genes Genomes Genetics. 9(10). 3079–3085. 68 indexed citations
16.
Faria, Melissa, Eva Prats, Cristian Gómez‐Canela, et al.. (2019). Therapeutic potential of N-acetylcysteine in acrylamide acute neurotoxicity in adult zebrafish. Scientific Reports. 9(1). 16467–16467. 25 indexed citations
17.
Hsu, Chuan-Yu, Mark A. Arick, Qing Miao, et al.. (2018). Transcriptome Analysis of Ten Days Post Anthesis Elongating Fiber in the Upland Cotton (<i>Gossypium hirsutum</i>) Chromosome Substitution Line CS-B25. American Journal of Plant Sciences. 9(6). 1334–1361. 1 indexed citations
18.
Magbanua, Zenaida V., Mark A. Arick, Philippe Chouvarine, et al.. (2018). Exploring the loblolly pine (Pinus taeda L.) genome by BAC sequencing and Cot analysis. Gene. 663. 165–177. 8 indexed citations
19.
Donaldson, Janet R., Debarati Paul, Michelle M. Banes, et al.. (2011). Genome Sequence of Lineage III Listeria monocytogenes Strain HCC23. Journal of Bacteriology. 193(14). 3679–3680. 21 indexed citations
20.
McCarthy, Fiona, Cathy Gresham, Philippe Chouvarine, et al.. (2010). AgBase: supporting functional modeling in agricultural organisms. Nucleic Acids Research. 39(suppl_1). D497–D506. 49 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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