Jodi Becker

1.1k total citations
18 papers, 812 citations indexed

About

Jodi Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jodi Becker has authored 18 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Jodi Becker's work include Nerve injury and regeneration (8 papers), RNA Research and Splicing (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jodi Becker is often cited by papers focused on Nerve injury and regeneration (8 papers), RNA Research and Splicing (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jodi Becker collaborates with scholars based in United States, Italy and Canada. Jodi Becker's co-authors include Lino Tessarollo, Colleen Barrick, N. V. Komissarova, Mikhail Kashlev, Maria L. Kireeva, Sudhirkumar Yanpallewar, Gianluca Fulgenzi, Hannah Buckley, Francesco Tomassoni‐Ardori and Susan G. Dorsey and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Jodi Becker

18 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jodi Becker United States 13 434 305 143 122 92 18 812
Meiko Kawamura Japan 19 325 0.7× 333 1.1× 88 0.6× 101 0.8× 60 0.7× 38 919
Irene Cappuccio Italy 17 482 1.1× 410 1.3× 223 1.6× 207 1.7× 84 0.9× 27 989
Qizhi Gong United States 15 552 1.3× 270 0.9× 107 0.7× 78 0.6× 88 1.0× 31 1.0k
Arianna Mei United States 10 509 1.2× 177 0.6× 122 0.9× 118 1.0× 44 0.5× 14 770
Elizabeth M. McNeill United States 12 575 1.3× 225 0.7× 71 0.5× 94 0.8× 68 0.7× 22 877
Gary P. Brennan Ireland 20 681 1.6× 275 0.9× 191 1.3× 44 0.4× 70 0.8× 35 1.1k
Shashi Wadhwa India 22 431 1.0× 371 1.2× 51 0.4× 85 0.7× 77 0.8× 65 1.2k
Filip Vanevski United States 7 632 1.5× 334 1.1× 127 0.9× 157 1.3× 122 1.3× 7 1.1k
Chamsy Sarkis France 16 756 1.7× 251 0.8× 468 3.3× 121 1.0× 200 2.2× 21 1.2k
Bradley M. Colquitt United States 9 427 1.0× 400 1.3× 109 0.8× 53 0.4× 303 3.3× 11 1.2k

Countries citing papers authored by Jodi Becker

Since Specialization
Citations

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

Fields of papers citing papers by Jodi Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jodi Becker

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

All Works

18 of 18 papers shown
1.
Yanpallewar, Sudhirkumar, Francesco Tomassoni‐Ardori, Mary Ellen Palko, et al.. (2022). TrkA-cholinergic signaling modulates fear encoding and extinction learning in PTSD-like behavior. Translational Psychiatry. 12(1). 111–111. 11 indexed citations
2.
Fulgenzi, Gianluca, Francesco Tomassoni‐Ardori, Luiz F. Barella, et al.. (2020). Novel metabolic role for BDNF in pancreatic β-cell insulin secretion. Nature Communications. 11(1). 1950–1950. 83 indexed citations
3.
Tomassoni‐Ardori, Francesco, Gianluca Fulgenzi, Jodi Becker, et al.. (2019). Rbfox1 up-regulation impairs BDNF-dependent hippocampal LTP by dysregulating TrkB isoform expression levels. eLife. 8. 38 indexed citations
4.
Bachis, Alessia, et al.. (2016). The neurotrophin receptor p75 mediates gp120-induced loss of synaptic spines in aging mice. Neurobiology of Aging. 46. 160–168. 29 indexed citations
5.
Fulgenzi, Gianluca, Francesco Tomassoni‐Ardori, Lucia Babini, et al.. (2015). BDNF modulates heart contraction force and long-term homeostasis through truncated TrkB.T1 receptor activation. The Journal of Cell Biology. 210(6). 1003–1012. 77 indexed citations
6.
Fulgenzi, Gianluca, Francesco Tomassoni‐Ardori, Lucia Babini, et al.. (2015). BDNF modulates heart contraction force and long-term homeostasis through truncated TrkB.T1 receptor activation. The Journal of General Physiology. 146(4). 1464OIA55–1464OIA55. 2 indexed citations
7.
Kiris, Erkan, Ting Wang, Sudhirkumar Yanpallewar, et al.. (2014). TrkAIn VivoFunction Is Negatively Regulated by Ubiquitination. Journal of Neuroscience. 34(11). 4090–4098. 22 indexed citations
8.
Yanpallewar, Sudhirkumar, Colleen Barrick, Hannah Buckley, Jodi Becker, & Lino Tessarollo. (2012). Deletion of the BDNF Truncated Receptor TrkB.T1 Delays Disease Onset in a Mouse Model of Amyotrophic Lateral Sclerosis. PLoS ONE. 7(6). e39946–e39946. 66 indexed citations
9.
Graciotti, Laura, et al.. (2011). Dystrophin Is Required for the Normal Function of the Cardio-Protective KATP Channel in Cardiomyocytes. PLoS ONE. 6(10). e27034–e27034. 18 indexed citations
10.
Carim‐Todd, Laura, Kevin G. Bath, Gianluca Fulgenzi, et al.. (2009). Endogenous Truncated TrkB.T1 Receptor Regulates Neuronal Complexity and TrkB Kinase Receptor FunctionIn Vivo. Journal of Neuroscience. 29(3). 678–685. 117 indexed citations
11.
Esteban, Pedro F., Hye‐Young Yoon, Jodi Becker, et al.. (2006). A kinase-deficient TrkC receptor isoform activates Arf6–Rac1 signaling through the scaffold protein tamalin. The Journal of Cell Biology. 173(2). 291–299. 69 indexed citations
12.
Komissarova, N. V., et al.. (2003). Engineering of Elongation Complexes of Bacterial and Yeast RNA Polymerases. Methods in enzymology on CD-ROM/Methods in enzymology. 371. 233–251. 76 indexed citations
13.
Komissarova, N. V., et al.. (2002). Shortening of RNA:DNA Hybrid in the Elongation Complex of RNA Polymerase Is a Prerequisite for Transcription Termination. Molecular Cell. 10(5). 1151–1162. 120 indexed citations
14.
Jenneckens, Ingo, et al.. (2000). Análisis genéticos de ejemplares de esturión atlántico Acipenser sturio L., 1758.. 16(1). 181–190. 1 indexed citations
15.
Fyrberg, Christine, et al.. (1998). A Family of Drosophila Genes Encoding quaking -Related Maxi-KH Domains. Biochemical Genetics. 36(1-2). 51–64. 12 indexed citations
16.
Fyrberg, Christine, et al.. (1997). A Drosophila muscle-specific gene related to the mouse quaking locus. Gene. 197(1-2). 315–323. 31 indexed citations
17.
Timmons, Lisa, et al.. (1997). Green fluorescent protein/β-galactosidase double reporters for visualizingDrosophila gene expression patterns. Developmental Genetics. 20(4). 338–347. 35 indexed citations
18.
Becker, Jodi, F Barré-Sinoussi, Dominique Dormont, Martin Best‐Belpomme, & Jean‐Claude Chermann. (1987). Characterization of the purified RNA dependent DNA polymerase isolated from Drosophila.. PubMed. 33(2). 225–35. 5 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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