Michael Mazourek

4.0k total citations
65 papers, 2.7k citations indexed

About

Michael Mazourek is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Michael Mazourek has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 20 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Michael Mazourek's work include Photosynthetic Processes and Mechanisms (11 papers), Genetic and Environmental Crop Studies (11 papers) and Plant Pathogens and Resistance (10 papers). Michael Mazourek is often cited by papers focused on Photosynthetic Processes and Mechanisms (11 papers), Genetic and Environmental Crop Studies (11 papers) and Plant Pathogens and Resistance (10 papers). Michael Mazourek collaborates with scholars based in United States, Israel and China. Michael Mazourek's co-authors include Molly Jahn, Ilan Paran, Charles Stewart, Giulia M. Stellari, Kede Liu, Li Li, Mary A. O’Connell, Byoung‐Cheorl Kang, Eun Young Yoo and Zhangjun Fei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Michael Mazourek

63 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Mazourek United States 29 1.9k 969 493 415 387 65 2.7k
Kede Liu China 37 3.5k 1.8× 2.8k 2.9× 218 0.4× 952 2.3× 126 0.3× 89 4.5k
Pasquale Tripodi Italy 20 1.3k 0.6× 550 0.6× 81 0.2× 230 0.6× 232 0.6× 60 1.7k
Sergio Lanteri Italy 40 3.3k 1.7× 1.3k 1.4× 51 0.1× 722 1.7× 220 0.6× 149 4.0k
Ezio Portis Italy 36 2.7k 1.4× 980 1.0× 30 0.1× 650 1.6× 160 0.4× 128 3.3k
Nirala Ramchiary India 26 1.1k 0.6× 613 0.6× 80 0.2× 216 0.5× 60 0.2× 61 1.5k
Mark G. Taylor United States 21 2.8k 1.4× 2.1k 2.1× 35 0.1× 200 0.5× 576 1.5× 33 3.8k
Giuseppe Leonardo Rotino Italy 38 2.6k 1.3× 1.5k 1.6× 25 0.1× 470 1.1× 269 0.7× 79 3.3k
Suman Kumaria India 27 1.4k 0.7× 1.4k 1.4× 62 0.1× 220 0.5× 85 0.2× 118 2.2k
Pramod Tandon India 27 1.2k 0.6× 1.2k 1.3× 58 0.1× 160 0.4× 76 0.2× 99 2.0k
Umesh K. Reddy United States 24 1.3k 0.6× 466 0.5× 58 0.1× 521 1.3× 28 0.1× 104 1.6k

Countries citing papers authored by Michael Mazourek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mazourek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Mazourek. 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 Michael Mazourek. The network helps show where Michael Mazourek may publish in the future.

Co-authorship network of co-authors of Michael Mazourek

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mazourek. A scholar is included among the top collaborators of Michael Mazourek 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 Michael Mazourek. Michael Mazourek 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.
Tzuri, Galil, Elad Oren, ‎Tal Isaacson, et al.. (2025). Meta genetic analysis of melon sweetness. Theoretical and Applied Genetics. 138(4). 68–68. 1 indexed citations
2.
Labate, Joanne A., et al.. (2023). Characterization of the USDA Cucurbita pepo, C. moschata, and C. maxima germplasm collections. Frontiers in Plant Science. 14. 1130814–1130814. 7 indexed citations
3.
Sun, Tianhu, Peng Wang, Sombir Rao, et al.. (2023). Co-chaperoning of chlorophyll and carotenoid biosynthesis by ORANGE family proteins in plants. Molecular Plant. 16(6). 1048–1065. 35 indexed citations
4.
Sharma, Anuj, Jian Li, Gerald V. Minsavage, et al.. (2023). Mapping of the bs5 and bs6 non-race-specific recessive resistances against bacterial spot of pepper. Frontiers in Plant Science. 14. 1061803–1061803. 6 indexed citations
5.
Chayut, Noam, Hui Yuan, Yi Zheng, et al.. (2021). Comparative transcriptome analyses shed light on carotenoid production and plastid development in melon fruit. Horticulture Research. 8(1). 112–112. 31 indexed citations
6.
Tracy, William F., et al.. (2019). Adaptability analysis in a participatory variety trial of organic vegetable crops. Renewable Agriculture and Food Systems. 35(3). 296–312. 17 indexed citations
7.
Wang, Xin, Zhangjun Fei, Huanxiu Li, et al.. (2019). Genetic mapping of green curd gene Gr in cauliflower. Theoretical and Applied Genetics. 133(1). 353–364. 10 indexed citations
8.
Jahn, Molly, et al.. (2016). Cultivar-Based Introgression Mapping Reveals Wild Species-Derived Pm-0, the Major Powdery Mildew Resistance Locus in Squash. PLoS ONE. 11(12). e0167715–e0167715. 30 indexed citations
9.
Chayut, Noam, Hui Yuan, Ayala Meir, et al.. (2016). Distinct Mechanisms of the ORANGE Protein in Controlling Carotenoid Flux. PLANT PHYSIOLOGY. 173(1). 376–389. 101 indexed citations
10.
Strickler, Susan R., et al.. (2015). An acorn squash (Cucurbita pepo ssp. ovifera) fruit and seed transcriptome as a resource for the study of fruit traits in Cucurbita. Horticulture Research. 2(1). 14070–14070. 29 indexed citations
11.
Cheng, Peng, Yanming Ma, Michael Mazourek, et al.. (2014). Phylogenetic analysis and association mapping for agronomic and quality traits in USDA pea PSP collection. Phytopathology. 104(11). 26–26. 1 indexed citations
12.
Smart, Christine D., et al.. (2014). Development of Downy Mildew-resistant Cucumbers for Late-season Production in the Northeastern United States. HortScience. 49(1). 10–17. 13 indexed citations
13.
Mazourek, Michael, et al.. (2014). Regulatory control of carotenoid accumulation in winter squash during storage. Planta. 240(5). 1063–1074. 32 indexed citations
14.
Mazourek, Michael, et al.. (2012). ‘Salt and Pepper’: A Disease-resistant Cucumber Inbred. HortScience. 47(3). 427–428. 2 indexed citations
15.
Mazourek, Michael, et al.. (2009). ‘Peacework’: A Cucumber mosaic virus-resistant Early Red Bell Pepper for Organic Systems. HortScience. 44(5). 1464–1467. 9 indexed citations
16.
Borovsky, Yelena, et al.. (2006). QTL analysis for capsaicinoid content in Capsicum. Theoretical and Applied Genetics. 113(8). 1481–1490. 97 indexed citations
17.
Stewart, Charles, Byoung‐Cheorl Kang, Kede Liu, et al.. (2005). ThePun1gene for pungency in pepper encodes a putative acyltransferase. The Plant Journal. 42(5). 675–688. 236 indexed citations
18.
Blum, Eyal, Michael Mazourek, Mary A. O’Connell, et al.. (2003). Molecular mapping of capsaicinoid biosynthesis genes and quantitative trait loci analysis for capsaicinoid content in Capsicum. Theoretical and Applied Genetics. 108(1). 79–86. 107 indexed citations
19.
Blum, Eyal, Kede Liu, Michael Mazourek, et al.. (2002). Molecular mapping of theClocus for presence of pungency inCapsicum. Genome. 45(4). 702–705. 74 indexed citations
20.

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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