Minviluz G. Stacey

3.1k total citations · 1 hit paper
32 papers, 2.3k citations indexed

About

Minviluz G. Stacey is a scholar working on Plant Science, Molecular Biology and Rheumatology. According to data from OpenAlex, Minviluz G. Stacey has authored 32 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 11 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Minviluz G. Stacey's work include Legume Nitrogen Fixing Symbiosis (13 papers), Soybean genetics and cultivation (9 papers) and Plant nutrient uptake and metabolism (8 papers). Minviluz G. Stacey is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (13 papers), Soybean genetics and cultivation (9 papers) and Plant nutrient uptake and metabolism (8 papers). Minviluz G. Stacey collaborates with scholars based in United States, Vietnam and Germany. Minviluz G. Stacey's co-authors include Gary Stacey, Albrecht G. von Arnim, Jinrong Wan, Sung‐Yong Kim, Katrina M. Ramonell, Xing Wang Deng, Ami Patel, Cuong Xuan Nguyen, Walter Gassmann and Stephanie N. Hicks and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Minviluz G. Stacey

30 papers receiving 2.3k citations

Hit Papers

A LysM Receptor-Like Kinase Plays a Critical Role in Chit... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minviluz G. Stacey United States 21 2.0k 859 85 81 66 32 2.3k
Jae‐Ung Hwang South Korea 19 1.9k 0.9× 1.3k 1.5× 128 1.5× 38 0.5× 118 1.8× 29 2.3k
Yuefeng Guan China 21 1.8k 0.9× 1.3k 1.5× 75 0.9× 95 1.2× 22 0.3× 42 2.1k
Anke Reinders United States 26 1.8k 0.9× 1.1k 1.3× 46 0.5× 38 0.5× 127 1.9× 35 2.4k
Xingjun Wang China 26 1.5k 0.7× 814 0.9× 56 0.7× 35 0.4× 29 0.4× 80 1.7k
Jirong Huang China 16 1.3k 0.6× 1.2k 1.4× 54 0.6× 26 0.3× 80 1.2× 36 1.8k
Pedro Piedras Spain 19 1.5k 0.7× 751 0.9× 40 0.5× 50 0.6× 107 1.6× 39 1.8k
Yingkao Hu China 23 1.4k 0.7× 870 1.0× 42 0.5× 62 0.8× 28 0.4× 48 1.7k
Audrey Creff France 18 2.5k 1.2× 972 1.1× 96 1.1× 48 0.6× 59 0.9× 22 2.7k
Randy D. Dinkins United States 28 1.4k 0.7× 1.1k 1.3× 53 0.6× 78 1.0× 125 1.9× 60 1.9k

Countries citing papers authored by Minviluz G. Stacey

Since Specialization
Citations

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

Fields of papers citing papers by Minviluz G. Stacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minviluz G. Stacey. 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 Minviluz G. Stacey. The network helps show where Minviluz G. Stacey may publish in the future.

Co-authorship network of co-authors of Minviluz G. Stacey

This figure shows the co-authorship network connecting the top 25 collaborators of Minviluz G. Stacey. A scholar is included among the top collaborators of Minviluz G. Stacey 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 Minviluz G. Stacey. Minviluz G. Stacey 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.
Kumar, Ritesh, Rahul Mahadev Shelake, Doug K. Allen, et al.. (2025). Targets and strategies to design soybean seed composition traits. The Plant Genome. 18(4). e70115–e70115.
2.
Nguyen, Cuong Xuan, Van Phuong Nguyen, Gary Stacey, et al.. (2023). Enhancing powdery mildew resistance in soybean by targeted mutation of MLO genes using the CRISPR/Cas9 system. BMC Plant Biology. 23(1). 533–533. 14 indexed citations
3.
Nguyen, Cuong Xuan, et al.. (2021). Critical role for uricase and xanthine dehydrogenase in soybean nitrogen fixation and nodule development. The Plant Genome. 16(2). e20171–e20171. 17 indexed citations
4.
Agtuca, Beverly J., Sylwia A. Stopka, Laith Z. Samarah, et al.. (2020). Metabolomic profiling of wild‐type and mutant soybean root nodules using laser‐ablation electrospray ionization mass spectrometry reveals altered metabolism. The Plant Journal. 103(5). 1937–1958. 24 indexed citations
5.
Nguyen, Cuong Xuan, et al.. (2020). GmKIX8‐1 regulates organ size in soybean and is the causative gene for the major seed weight QTL qSw17‐1. New Phytologist. 229(2). 920–934. 73 indexed citations
6.
Nguyen, Nhung H. A., Cuong Xuan Nguyen, Hardy Rolletschek, et al.. (2020). CRISPR/Cas9-Mediated Knockout of Galactinol Synthase-Encoding Genes Reduces Raffinose Family Oligosaccharide Levels in Soybean Seeds. Frontiers in Plant Science. 11. 612942–612942. 50 indexed citations
7.
Lei, Zhentian, Santosh Kumar, Saurav J. Sarma, et al.. (2020). Protein Precipitation to Remove Carbohydrates that Interfere in Protein-Bound Tryptophan Quantification in Soybean Seeds. Journal of Analysis and Testing. 4(3). 238–247. 4 indexed citations
9.
Stacey, Minviluz G., Rebecca E. Cahoon, Hanh Nguyen, et al.. (2016). Identification of Homogentisate Dioxygenase as a Target for Vitamin E Biofortification in Oilseeds. PLANT PHYSIOLOGY. 172(3). 1506–1518. 45 indexed citations
10.
Vincent, Jennifer, Minviluz G. Stacey, Gary Stacey, & Kristin Bilyeu. (2015). Phytic Acid and Inorganic Phosphate Composition in Soybean Lines with Independent IPK1 Mutations. The Plant Genome. 8(1). eplantgenome2014.10.0077–eplantgenome2014.10.0077. 13 indexed citations
12.
Hwang, Won, Moon Young Kim, Yang Jae Kang, et al.. (2014). Genome-wide analysis of mutations in a dwarf soybean mutant induced by fast neutron bombardment. Euphytica. 203(2). 399–408. 22 indexed citations
13.
Mendoza‐Cózatl, David G., Qingqing Xie, Garo Z. Akmakjian, et al.. (2014). OPT3 Is a Component of the Iron-Signaling Network between Leaves and Roots and Misregulation of OPT3 Leads to an Over-Accumulation of Cadmium in Seeds. Molecular Plant. 7(9). 1455–1469. 129 indexed citations
14.
García, María J., Francisco J. Romera, Minviluz G. Stacey, et al.. (2012). Shoot to root communication is necessary to control the expression of iron-acquisition genes in Strategy I plants. Planta. 237(1). 65–75. 62 indexed citations
15.
Cui, Yaya, Minviluz G. Stacey, C. Nathan Hancock, et al.. (2012). Tnt1Retrotransposon Mutagenesis: A Tool for Soybean Functional Genomics    . PLANT PHYSIOLOGY. 161(1). 36–47. 49 indexed citations
16.
Wan, Jinrong, et al.. (2008). A LysM Receptor-Like Kinase Plays a Critical Role in Chitin Signaling and Fungal Resistance in Arabidopsis. The Plant Cell. 20(2). 471–481. 603 indexed citations breakdown →
17.
Stacey, Minviluz G., Ami Patel, W. E. McClain, et al.. (2007). The Arabidopsis AtOPT3 Protein Functions in Metal Homeostasis and Movement of Iron to Developing Seeds. PLANT PHYSIOLOGY. 146(2). 323–324. 192 indexed citations
18.
Stacey, Minviluz G., Hiroki Osawa, Ami Patel, Walter Gassmann, & Gary Stacey. (2005). Expression analyses of Arabidopsis oligopeptide transporters during seed germination, vegetative growth and reproduction. Planta. 223(2). 291–305. 75 indexed citations
19.
Tomkins, Jeffrey, Todd Wood, Minviluz G. Stacey, et al.. (2001). A Marker-Dense Physical Map of the Bradyrhizobium japonicum Genome. Genome Research. 11(8). 1434–1440. 9 indexed citations
20.
Arnim, Albrecht G. von, Xing Wang Deng, & Minviluz G. Stacey. (1998). Cloning vectors for the expression of green fluorescent protein fusion proteins in transgenic plants. Gene. 221(1). 35–43. 212 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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