Rebecca Dickstein

2.9k total citations · 1 hit paper
36 papers, 1.5k citations indexed

About

Rebecca Dickstein is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Rebecca Dickstein has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 8 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in Rebecca Dickstein's work include Legume Nitrogen Fixing Symbiosis (32 papers), Plant nutrient uptake and metabolism (26 papers) and Agronomic Practices and Intercropping Systems (8 papers). Rebecca Dickstein is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (32 papers), Plant nutrient uptake and metabolism (26 papers) and Agronomic Practices and Intercropping Systems (8 papers). Rebecca Dickstein collaborates with scholars based in United States, Netherlands and France. Rebecca Dickstein's co-authors include Michael K. Udvardi, Sonali Roy, Catalina I. Pislariu, Kirankumar S. Mysore, Raja Sekhar Nandety, Julia Frugoli, Wei Liu, Ashley Crook, D. Janine Sherrier and Ton Bisseling and has published in prestigious journals such as Genes & Development, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Rebecca Dickstein

36 papers receiving 1.5k citations

Hit Papers

Celebrating 20 Years of Genetic Discoveries in Legume Nod... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Dickstein United States 19 1.4k 444 215 67 24 36 1.5k
Sonali Roy United States 14 1.3k 0.9× 419 0.9× 189 0.9× 55 0.8× 38 1.6× 20 1.4k
Dugald Reid Denmark 22 1.9k 1.4× 785 1.8× 256 1.2× 66 1.0× 39 1.6× 30 2.0k
Carole Laffont France 20 1.4k 1.0× 363 0.8× 340 1.6× 19 0.3× 21 0.9× 30 1.5k
Edward G. Kirby United States 19 867 0.6× 97 0.2× 642 3.0× 58 0.9× 43 1.8× 32 1.0k
Julia Frugoli United States 19 2.0k 1.4× 637 1.4× 424 2.0× 53 0.8× 33 1.4× 42 2.2k
Takashi Soyano Japan 25 2.6k 1.8× 535 1.2× 1.2k 5.8× 38 0.6× 45 1.9× 33 2.8k
Maren Wandrey Germany 8 1.1k 0.8× 151 0.3× 416 1.9× 29 0.4× 23 1.0× 8 1.3k
Ashok K. Shrawat United States 11 1.2k 0.8× 294 0.7× 407 1.9× 22 0.3× 29 1.2× 15 1.3k
Kirill N. Demchenko Russia 20 959 0.7× 161 0.4× 313 1.5× 23 0.3× 69 2.9× 43 1.1k
Mitsuhiro Obara Japan 20 1.4k 1.0× 157 0.4× 294 1.4× 26 0.4× 21 0.9× 47 1.4k

Countries citing papers authored by Rebecca Dickstein

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Dickstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Dickstein

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Dickstein. A scholar is included among the top collaborators of Rebecca Dickstein 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 Rebecca Dickstein. Rebecca Dickstein 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
2.
Veerappan, Vijaykumar, et al.. (2023). A modified aeroponic system for growing small-seeded legumes and other plants to study root systems. Plant Methods. 19(1). 21–21. 16 indexed citations
3.
Kunz, Daniel A., et al.. (2021). Phosphorus deprivation affects composition and spatial distribution of membrane lipids in legume nodules. PLANT PHYSIOLOGY. 185(4). 1847–1859. 24 indexed citations
4.
Cocuron, Jean‐Christophe, et al.. (2021). Metabolite shift in Medicago truncatula occurs in phosphorus deprivation. Journal of Experimental Botany. 73(7). 2093–2111. 10 indexed citations
6.
Roy, Sonali, Wei Liu, Raja Sekhar Nandety, et al.. (2019). Celebrating 20 Years of Genetic Discoveries in Legume Nodulation and Symbiotic Nitrogen Fixation. The Plant Cell. 32(1). 15–41. 466 indexed citations breakdown →
7.
Sun, Liang, Upinder Gill, Raja Sekhar Nandety, et al.. (2019). Genome‐wide analysis of flanking sequences reveals that Tnt1 insertion is positively correlated with gene methylation in Medicago truncatula. The Plant Journal. 98(6). 1106–1119. 23 indexed citations
8.
Burks, David, Rajeev K. Azad, Jiangqi Wen, & Rebecca Dickstein. (2018). The Medicago truncatula Genome: Genomic Data Availability. Methods in molecular biology. 1822. 39–59. 8 indexed citations
9.
Bang, Thomas C. de, Peter K. Lundquist, Xinbin Dai, et al.. (2017). Genome-Wide Identification of Medicago Peptides Involved in Macronutrient Responses and Nodulation. PLANT PHYSIOLOGY. 175(4). 1669–1689. 95 indexed citations
10.
11.
Veerappan, Vijaykumar, Ashley Scott, Igor Kryvoruchko, et al.. (2014). Keel petal incision: a simple and efficient method for genetic crossing in Medicago truncatula. Plant Methods. 10(1). 11–11. 16 indexed citations
12.
Salehin, Mohammad, et al.. (2013). Allelic differences inMedicago truncatula NIP/LATDmutants correlate with their encoded proteins’ transport activities in planta. Plant Signaling & Behavior. 8(2). e22813–e22813. 6 indexed citations
13.
Pislariu, Catalina I. & Rebecca Dickstein. (2007). An IRE-Like AGC Kinase Gene, MtIRE, Has Unique Expression in the Invasion Zone of Developing Root Nodules in Medicago truncatula . PLANT PHYSIOLOGY. 144(2). 682–694. 34 indexed citations
14.
Pislariu, Catalina I. & Rebecca Dickstein. (2007). The AGC Kinase MtIRE. Plant Signaling & Behavior. 2(4). 314–316. 3 indexed citations
15.
Dickstein, Rebecca, et al.. (2004). Purification of ENOD8 proteins from Medicago sativa root nodules and their characterization as esterases. Plant Physiology and Biochemistry. 42(1). 73–79. 31 indexed citations
16.
Haynes, Janine G., et al.. (2004). nip, a Symbiotic Medicago truncatula Mutant That Forms Root Nodules with Aberrant Infection Threads and Plant Defense-Like Response. PLANT PHYSIOLOGY. 136(3). 3692–3702. 79 indexed citations
17.
Dutra-Clarke, Ana, Charlene J. Williams, Rebecca Dickstein, Norbert F. Käufer, & James R. Spotila. (2001). Inferences on the phylogenetic relationships of Succineidae (Mollusca, Pulmonata) based on 18S rRNA gene. Malacologia. 43. 223–236. 7 indexed citations
18.
Ghosh, Sibdas, Rebecca Dickstein, Thomas J. Knight, & Pat J. Langston-Unkefer. (2001). Interactions between Pseudomonas syringae pv. tabaci and Two Rhizosphere Hosts, Medicago sativa and Avena sativa. Journal of Plant Biochemistry and Biotechnology. 10(2). 91–99. 1 indexed citations
19.
Wu, C. C., et al.. (1996). The Auxin Transport Inhibitor N-(1-Naphthyl)phthalamic Acid Elicits Pseudonodules on Nonnodulating Mutants of White Sweetclover. PLANT PHYSIOLOGY. 110(2). 501–510. 46 indexed citations
20.
Dickstein, Rebecca, Daniel C. Scheirer, William H. Fowle, & Frederick M. Ausubel. (1991). Nodules elicited by Rbizobium meliloti heme mutants are arrested at an early stage of development. Molecular and General Genetics MGG. 230(3). 423–432. 37 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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