Mikeal L. Roose

10.1k total citations · 2 hit papers
97 papers, 5.8k citations indexed

About

Mikeal L. Roose is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Mikeal L. Roose has authored 97 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Plant Science, 33 papers in Molecular Biology and 22 papers in Cell Biology. Recurrent topics in Mikeal L. Roose's work include Phytoplasmas and Hemiptera pathogens (28 papers), Plant Physiology and Cultivation Studies (23 papers) and Plant Pathogens and Fungal Diseases (22 papers). Mikeal L. Roose is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (28 papers), Plant Physiology and Cultivation Studies (23 papers) and Plant Pathogens and Fungal Diseases (22 papers). Mikeal L. Roose collaborates with scholars based in United States, Italy and China. Mikeal L. Roose's co-authors include Norman C. Ellstrand, David D. Fang, Claire T. Federici, L. D. Gottlieb, Robert R. Krueger, Noelle A. Barkley, Osman Gülşen, Rainer W. Scora, Julia Bailey‐Serres and Camilo Canel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mikeal L. Roose

89 papers receiving 5.3k citations

Hit Papers

PATTERNS OF GENOTYPIC DIVERSITY IN CLONAL PLANT SPECIES 1987 2026 2000 2013 1987 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikeal L. Roose United States 39 4.4k 1.9k 1.3k 1.3k 792 97 5.8k
J.I. Hormaza Spain 42 4.2k 1.0× 2.8k 1.5× 811 0.6× 2.2k 1.7× 339 0.4× 195 5.8k
Rick Kesseli United States 29 4.7k 1.1× 1.8k 1.0× 1.9k 1.5× 959 0.8× 440 0.6× 52 6.1k
Hilde Nybom Sweden 38 4.9k 1.1× 2.4k 1.3× 2.8k 2.1× 2.3k 1.9× 932 1.2× 166 7.1k
Ray Ming United States 48 7.0k 1.6× 4.9k 2.6× 2.6k 2.0× 1.2k 0.9× 265 0.3× 230 9.9k
Kurt Weising Germany 34 3.5k 0.8× 1.9k 1.0× 1.6k 1.2× 2.0k 1.6× 619 0.8× 106 5.5k
Robert J. Elshire United States 14 5.6k 1.3× 2.0k 1.1× 4.8k 3.7× 631 0.5× 362 0.5× 15 8.0k
M. A. Saghai Maroof United States 48 10.6k 2.4× 2.8k 1.5× 4.2k 3.2× 739 0.6× 751 0.9× 119 12.1k
Jordi García-Más Spain 43 4.1k 0.9× 1.7k 0.9× 2.0k 1.5× 264 0.2× 312 0.4× 103 5.1k
M. Sedgley Australia 37 3.8k 0.8× 2.5k 1.3× 573 0.4× 1.8k 1.4× 411 0.5× 242 5.2k
David M. Spooner United States 46 5.9k 1.3× 1.7k 0.9× 1.0k 0.8× 1.3k 1.0× 951 1.2× 175 7.3k

Countries citing papers authored by Mikeal L. Roose

Since Specialization
Citations

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

Fields of papers citing papers by Mikeal L. Roose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikeal L. Roose. 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 Mikeal L. Roose. The network helps show where Mikeal L. Roose may publish in the future.

Co-authorship network of co-authors of Mikeal L. Roose

This figure shows the co-authorship network connecting the top 25 collaborators of Mikeal L. Roose. A scholar is included among the top collaborators of Mikeal L. Roose 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 Mikeal L. Roose. Mikeal L. Roose 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.
Jia, Qiong, R. J. Chang, Amancio de Souza, et al.. (2025). A Novel Approach for Comparing Selected Metabolites in Citrus Leaves and Fruits Across Datasets. Plants. 14(10). 1406–1406.
2.
Yu, Lei, Qiong Jia, Sarah Wang, et al.. (2024). Revealing genetic determinants of photosynthesis-related traits in citrus <i>via</i> genome-wide association studies. SHILAP Revista de lepidopterología. 4(1). 0–0. 2 indexed citations
3.
Wu, Guohong, et al.. (2024). Development and Assessment of SNP Genotyping Arrays for Citrus and Its Close Relatives. Plants. 13(5). 691–691. 6 indexed citations
4.
Wang, Xuesong, Lei Yu, Ira A. Herniter, et al.. (2023). Exploring the Phylogenetic Relationship among Citrus through Leaf Shape Traits: A Morphological Study on Citrus Leaves. Horticulturae. 9(7). 793–793. 2 indexed citations
5.
Ruiz, Marta, et al.. (2023). Real-Time PCR to Phenotype Resistance to the Citrus Nematode Tylenchulus semipenetrans Cobb.. Plants. 12(13). 2543–2543. 5 indexed citations
6.
Du, Dongliang, Qibin Yu, Mikeal L. Roose, et al.. (2022). Genome-Wide Association Study of Healthful Flavonoids among Diverse Mandarin Accessions. Plants. 11(3). 317–317. 7 indexed citations
7.
Stover, Ed, et al.. (2021). Incidence of Asiatic Citrus Canker on Trifoliate Orange and Its Hybrid Accessions in a Florida Field Planting. HortScience. 56(5). 525–531. 2 indexed citations
8.
Li, Ruidong, Han Qu, Jinfeng Chen, et al.. (2020). Inference of Chromosome-Length Haplotypes Using Genomic Data of Three or a Few More Single Gametes. Molecular Biology and Evolution. 37(12). 3684–3698. 11 indexed citations
9.
McNeil, Christopher J., et al.. (2019). Chemical, Sensory, and Consumer Evaluations of ‘DaisySL’ Mandarins Grafted onto Three Different Rootstocks. HortScience. 54(7). 1217–1222. 3 indexed citations
10.
Wu, Guohong, Javier Terol, Victoria Ibáñez, et al.. (2018). Genomics of the origin and evolution of Citrus. Nature. 554(7692). 311–316. 557 indexed citations breakdown →
11.
Roose, Mikeal L.. (2015). NEW GENETIC AND GENOMIC TOOLS FOR CITRUS BREEDING. Acta Horticulturae. 63–65. 1 indexed citations
12.
13.
Roose, Mikeal L., Chandrika Ramadugu, K. L. Manjunath, et al.. (2014). Preliminary Evaluation of the Single-Tree, Huanglongbing Find in California. 1(1). 3 indexed citations
14.
Zhao, Hongwei, Ruobai Sun, Ute Albrecht, et al.. (2013). Small RNA Profiling Reveals Phosphorus Deficiency as a Contributing Factor in Symptom Expression for Citrus Huanglongbing Disease. Molecular Plant. 6(2). 301–310. 99 indexed citations
15.
Svensson, Jan T., Jianqing Xu, Jie Zheng, et al.. (2005). Coupling expressed sequences and bacterial artificial chromosome resources to access the barley genome. Czech Journal of Genetics and Plant Breeding. 41(Special Issue). 219–219.
16.
Gülşen, Osman & Mikeal L. Roose. (2001). Limonlarda Genetik Çeşitlilik, Bazı Turunçgillerle Akrabalık Derecelerinin DNA Markırlarının Kullanılarak Belirlenmesi. DergiPark (Istanbul University). 30(1). 53–63. 3 indexed citations
17.
Sadka, Avi, et al.. (2001). Comparative analysis of mitochondrial citrate synthase gene structure, transcript level and enzymatic activity in acidless and acid-containing Citrus varieties. Australian Journal of Plant Physiology. 28(5). 383–390. 64 indexed citations
18.
Fang, David D., Claire T. Federici, & Mikeal L. Roose. (1998). A High-Resolution Linkage Map of the Citrus Tristeza Virus Resistance Gene Region in Poncirus trifoliata (L.) Raf.. Genetics. 150(2). 883–890. 45 indexed citations
19.
Roose, Mikeal L., et al.. (1989). Yield and Tree Size of Four Citrus Cultivars on 21 Rootstocks in California. Journal of the American Society for Horticultural Science. 114(4). 678–684. 41 indexed citations
20.
Roose, Mikeal L. & L. D. Gottlieb. (1980). Biochemical properties and level of expression of alcohol dehydrogenases in the allotetraploid plant Tragopogon miscellus and its diploid progenitors. Biochemical Genetics. 18(11-12). 1065–1085. 32 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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