Tracy Money

1.1k total citations
10 papers, 790 citations indexed

About

Tracy Money is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Tracy Money has authored 10 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Tracy Money's work include Chromosomal and Genetic Variations (4 papers), Plant Disease Resistance and Genetics (3 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Tracy Money is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Plant Disease Resistance and Genetics (3 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Tracy Money collaborates with scholars based in United Kingdom, Japan and Italy. Tracy Money's co-authors include Y. HANZAWA, Desmond Bradley, Graham Moore, Ray Dixon, Sara Austin, Y. Minobe, Nori Kurata, D. A. Laurie, Roy P. Dunford and Graham Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Bacteriology.

In The Last Decade

Tracy Money

10 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Money United Kingdom 10 686 466 156 32 29 10 790
Qing‐Bo Yu China 16 585 0.9× 729 1.6× 170 1.1× 32 1.0× 56 1.9× 25 954
Hideo Kuriyama Japan 11 516 0.8× 401 0.9× 62 0.4× 37 1.2× 11 0.4× 16 642
Rebeca González‐Bayón Spain 12 564 0.8× 436 0.9× 141 0.9× 18 0.6× 13 0.4× 13 678
Jiangxin Wan Canada 10 634 0.9× 405 0.9× 45 0.3× 18 0.6× 29 1.0× 10 751
B. Wang China 3 672 1.0× 390 0.8× 45 0.3× 18 0.6× 8 0.3× 5 794
Kazumaru Miyoshi Japan 10 925 1.3× 647 1.4× 108 0.7× 73 2.3× 10 0.3× 10 1.0k
Wenyan Xiao United States 8 900 1.3× 512 1.1× 65 0.4× 30 0.9× 7 0.2× 12 1.0k
Daniela Vlad United Kingdom 12 493 0.7× 421 0.9× 67 0.4× 60 1.9× 28 1.0× 17 609
Ricardo Azpiroz United States 6 347 0.5× 326 0.7× 23 0.1× 8 0.3× 20 0.7× 6 477
Araceli Oropeza‐Aburto Mexico 15 977 1.4× 370 0.8× 23 0.1× 37 1.2× 16 0.6× 22 1.1k

Countries citing papers authored by Tracy Money

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Money

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Money

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Money. A scholar is included among the top collaborators of Tracy Money 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 Tracy Money. Tracy Money is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Baumann, Kim, Julien Venail, Ana Berbel, et al.. (2015). Changing the spatial pattern ofTFL1expression reveals its key role in the shoot meristem in controllingArabidopsisflowering architecture. Journal of Experimental Botany. 66(15). 4769–4780. 44 indexed citations
2.
HANZAWA, Y., Tracy Money, & Desmond Bradley. (2005). A single amino acid converts a repressor to an activator of flowering. Proceedings of the National Academy of Sciences. 102(21). 7748–7753. 396 indexed citations
3.
Money, Tracy, Jason Barrett, Ray Dixon, & Sara Austin. (2001). Protein-Protein Interactions in the Complex between the Enhancer Binding Protein NIFA and the Sensor NIFL from Azotobacter vinelandii. Journal of Bacteriology. 183(4). 1359–1368. 29 indexed citations
4.
Money, Tracy, et al.. (1999). Isolation and Properties of the Complex between the Enhancer Binding Protein NIFA and the Sensor NIFL. Journal of Bacteriology. 181(15). 4461–4468. 48 indexed citations
5.
Qu, Li‐Jia, Tracie Foote, Michael A. Roberts, et al.. (1998). A simple PCR-based method for scoring the ph1b deletion in wheat. Theoretical and Applied Genetics. 96(3-4). 371–375. 51 indexed citations
6.
Dunford, Roy P., Nori Kurata, D. A. Laurie, et al.. (1995). Conservation of fine-scale DNA marker order in the genomes of rice and the Triticeae. Nucleic Acids Research. 23(14). 2724–2728. 96 indexed citations
7.
Cheung, Wing‐Yee, Tracy Money, Shahal Abbo, et al.. (1994). A family of related sequences associated with (TTTAGGG)n repeats are located in the interstitial regions of wheat chromosomes. Molecular and General Genetics MGG. 245(3). 349–354. 24 indexed citations
8.
Moore, Graham, Shahal Abbo, Wing‐Yee Cheung, et al.. (1993). Key Features of Cereal Genome Organization as Revealed by the Use of Cytosine Methylation-Sensitive Restriction Endonucleases. Genomics. 15(3). 472–482. 60 indexed citations
9.
Cheung, Wing‐Yee, Graham Moore, Tracy Money, & M. D. Gale. (1992). HpaII library indicates ‘methylation-free islands’ in wheat and barley. Theoretical and Applied Genetics. 84-84(5-6). 739–746. 23 indexed citations
10.
Clarke, Bryan, et al.. (1992). Targeting deletion (homoeologous chromosome pairing locus) or addition line single copy sequences from cereal genomes. Nucleic Acids Research. 20(6). 1289–1292. 19 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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