Joseph Colasanti

3.0k total citations
40 papers, 2.3k citations indexed

About

Joseph Colasanti is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Joseph Colasanti has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 31 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Joseph Colasanti's work include Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (16 papers) and Plant nutrient uptake and metabolism (10 papers). Joseph Colasanti is often cited by papers focused on Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (16 papers) and Plant nutrient uptake and metabolism (10 papers). Joseph Colasanti collaborates with scholars based in Canada, United States and Brazil. Joseph Colasanti's co-authors include Venkatesan Sundaresan, Viktoriya Coneva, Steven J. Rothstein, Mike Tyers, David T. Denhardt, Mahmoud W. Yaish, Susan M. Wick, Reynald Tremblay, Debbie Laudencia‐Chingcuanco and Paula McSteen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Joseph Colasanti

38 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Colasanti Canada 24 2.0k 1.4k 507 111 110 40 2.3k
T. Helentjaris United States 15 2.0k 1.0× 756 0.6× 1.3k 2.6× 84 0.8× 136 1.2× 20 2.5k
Sanzhen Liu United States 31 2.6k 1.3× 1.4k 1.0× 560 1.1× 180 1.6× 125 1.1× 75 3.1k
Mengliang Cao China 11 1.7k 0.8× 1.4k 1.0× 623 1.2× 57 0.5× 44 0.4× 23 2.2k
A. Pryor Australia 25 2.1k 1.1× 921 0.7× 362 0.7× 131 1.2× 141 1.3× 57 2.5k
Rachit K. Saxena India 33 2.4k 1.2× 521 0.4× 414 0.8× 49 0.4× 121 1.1× 103 2.7k
Wen Yao China 21 1.6k 0.8× 767 0.6× 750 1.5× 65 0.6× 59 0.5× 55 2.0k
Jinfeng Zhao China 26 1.7k 0.9× 1.0k 0.7× 231 0.5× 45 0.4× 74 0.7× 55 2.0k
Lexiang Ji United States 23 1.8k 0.9× 1.3k 1.0× 302 0.6× 35 0.3× 33 0.3× 36 2.3k
Huiyong Zhang China 22 2.3k 1.2× 1.6k 1.2× 314 0.6× 81 0.7× 59 0.5× 35 2.6k
Patricia S. Springer United States 21 3.6k 1.8× 2.5k 1.9× 476 0.9× 84 0.8× 82 0.7× 35 3.9k

Countries citing papers authored by Joseph Colasanti

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Colasanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Colasanti

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Colasanti. A scholar is included among the top collaborators of Joseph Colasanti 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 Joseph Colasanti. Joseph Colasanti 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.
Minow, Mark A.A., et al.. (2022). Plant gene silencing signals move from the phloem to influence gene expression in shoot apical meristems. BMC Plant Biology. 22(1). 606–606. 4 indexed citations
2.
Oliveira, Raphael Ricon de, et al.. (2022). Expression of coffee florigen CaFT1 reveals a sustained floral induction window associated with asynchronous flowering in tropical perennials. Plant Science. 325. 111479–111479. 9 indexed citations
3.
Mei, Desheng, et al.. (2015). Expression divergence of FRUITFULL homeologs enhanced pod shatter resistance in Brassica napus. Genetics and Molecular Research. 14(1). 871–885. 13 indexed citations
4.
5.
Misyura, Maksym, David Guevara, Sanjeena Subedi, et al.. (2014). Nitrogen limitation and high density responses in rice suggest a role for ethylene under high density stress. BMC Genomics. 15(1). 681–681. 17 indexed citations
6.
Liseron-Monfils, Christophe, Yong‐Mei Bi, Gregory S. Downs, et al.. (2013). Nitrogen transporter and assimilation genes exhibit developmental stage-selective expression in maize (Zea maysL.) associated with distinctcis-acting promoter motifs. Plant Signaling & Behavior. 8(10). e26056–e26056. 20 indexed citations
7.
Coneva, Viktoriya, David Guevara, Steven J. Rothstein, & Joseph Colasanti. (2012). Transcript and metabolite signature of maize source leaves suggests a link between transitory starch to sucrose balance and the autonomous floral transition. Journal of Experimental Botany. 63(14). 5079–5092. 39 indexed citations
8.
Misyura, Maksym, Joseph Colasanti, & Steven J. Rothstein. (2012). Physiological and genetic analysis ofArabidopsis thalianaanthocyanin biosynthesis mutants under chronic adverse environmental conditions. Journal of Experimental Botany. 64(1). 229–240. 69 indexed citations
9.
Yaish, Mahmoud W., Joseph Colasanti, & Steven J. Rothstein. (2011). The role of epigenetic processes in controlling flowering time in plants exposed to stress. Journal of Experimental Botany. 62(11). 3727–3735. 140 indexed citations
10.
11.
Coneva, Viktoriya, et al.. (2011). ZCN8 encodes a potential orthologue of Arabidopsis FT florigen that integrates both endogenous and photoperiod flowering signals in maize. Journal of Experimental Botany. 62(14). 4833–4842. 103 indexed citations
12.
Park, Soon Ju, Song Lim Kim, Shin-Young Lee, et al.. (2008). Rice Indeterminate 1 (OsId1) is necessary for the expression of Ehd1 (Early heading date 1) regardless of photoperiod. The Plant Journal. 56(6). 1018–1029. 139 indexed citations
13.
14.
Coneva, Viktoriya, Tong Zhu, & Joseph Colasanti. (2007). Expression differences between normal and indeterminate1 maize suggest downstream targets of ID1, a floral transition regulator in maize. Journal of Experimental Botany. 58(13). 3679–3693. 52 indexed citations
15.
Colasanti, Joseph, et al.. (2006). Maize floral regulator protein INDETERMINATE1 is localized to developing leaves and is not altered by light or the sink/source transition. Journal of Experimental Botany. 58(3). 403–414. 49 indexed citations
16.
McSteen, Paula, Debbie Laudencia‐Chingcuanco, & Joseph Colasanti. (2000). A floret by any other name: control of meristem identity in maize. Trends in Plant Science. 5(2). 61–66. 122 indexed citations
17.
Colasanti, Joseph & Venkatesan Sundaresan. (2000). ‘Florigen’ enters the molecular age: long-distance signals that cause plants to flower. Trends in Biochemical Sciences. 25(5). 236–240. 62 indexed citations
18.
19.
Colasanti, Joseph & Venkatesan Sundaresan. (1991). Cytosine methylated DNA synthesized by Taq polymerase used to assay methylation sensitivity of restriction endonucleaseHinfl. Nucleic Acids Research. 19(2). 391–394. 6 indexed citations
20.
Colasanti, Joseph & David T. Denhardt. (1987). Mechanism of replication of bacteriophage φX174 XXII. Site-specific mutagenesis of the gene reveals that A∗ protein is not essential for φX174 DNA replication. Journal of Molecular Biology. 197(1). 47–54. 11 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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