David Toubiana

1.3k total citations
31 papers, 921 citations indexed

About

David Toubiana is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, David Toubiana has authored 31 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Plant Science and 6 papers in Food Science. Recurrent topics in David Toubiana's work include Metabolomics and Mass Spectrometry Studies (7 papers), Plant biochemistry and biosynthesis (6 papers) and Plant Gene Expression Analysis (6 papers). David Toubiana is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Plant biochemistry and biosynthesis (6 papers) and Plant Gene Expression Analysis (6 papers). David Toubiana collaborates with scholars based in Israel, United States and Germany. David Toubiana's co-authors include Aaron Fait, Zoran Nikoloski, Alisdair R. Fernie, Albert Batushansky, Asfaw Degu, Uri Hochberg, Shimon Rachmilevitch, Tanya Gendler, Eduardo Blumwald and Helena Maruenda and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

David Toubiana

29 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Toubiana Israel 18 544 469 195 73 52 31 921
Lili Chen China 13 547 1.0× 366 0.8× 224 1.1× 34 0.5× 31 0.6× 23 974
Liyuan Zhang China 20 701 1.3× 608 1.3× 91 0.5× 72 1.0× 74 1.4× 72 1.3k
Anja Hartmann Germany 16 748 1.4× 437 0.9× 162 0.8× 88 1.2× 66 1.3× 30 1.1k
Seyed Alireza Salami Iran 22 853 1.6× 595 1.3× 178 0.9× 81 1.1× 26 0.5× 70 1.4k
Ting Peng China 18 470 0.9× 590 1.3× 117 0.6× 26 0.4× 27 0.5× 56 1.1k
Ye Wang China 19 890 1.6× 303 0.6× 87 0.4× 38 0.5× 37 0.7× 59 1.2k
Christina Fritz Germany 7 1.0k 1.9× 512 1.1× 82 0.4× 48 0.7× 22 0.4× 8 1.3k
Ricardo Gómez Spain 18 517 1.0× 251 0.5× 218 1.1× 61 0.8× 38 0.7× 48 1.0k
Zhiwei Li China 20 593 1.1× 447 1.0× 42 0.2× 94 1.3× 52 1.0× 75 1.2k
Neelam R. Yadav India 15 1.1k 2.1× 758 1.6× 152 0.8× 105 1.4× 41 0.8× 60 1.5k

Countries citing papers authored by David Toubiana

Since Specialization
Citations

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

Fields of papers citing papers by David Toubiana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Toubiana

This figure shows the co-authorship network connecting the top 25 collaborators of David Toubiana. A scholar is included among the top collaborators of David Toubiana 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 David Toubiana. David Toubiana 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
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Rosental, Leah, David Toubiana, Davinder Sharma, et al.. (2022). The Alteration of Tomato Chloroplast Vesiculation Positively Affects Whole-Plant Source–Sink Relations and Fruit Metabolism under Stress Conditions. Plant and Cell Physiology. 63(12). 2008–2026. 11 indexed citations
4.
Ghazaryan, Lusine, et al.. (2022). Colicin E2 expression in Escherichia coli biofilms: Induction and regulation revisited. Current Research in Microbial Sciences. 3. 100171–100171.
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Fernández-Bayo, Jesús D., Duff R. Harrold, James J. Stapleton, et al.. (2022). The effect of circular soil biosolarization treatment on the physiology, metabolomics, and microbiome of tomato plants under certain abiotic stresses. Frontiers in Plant Science. 13. 1009956–1009956. 7 indexed citations
6.
Toubiana, David & Helena Maruenda. (2021). Guidelines for correlation coefficient threshold settings in metabolite correlation networks exemplified on a potato association panel. BMC Bioinformatics. 22(1). 116–116. 18 indexed citations
7.
Toubiana, David, Elisa Salas, Gabriel Franco dos Santos, et al.. (2020). Morphological and metabolic profiling of a tropical‐adapted potato association panel subjected to water recovery treatment reveals new insights into plant vigor. The Plant Journal. 103(6). 2193–2210. 12 indexed citations
8.
Toubiana, David, Rami Puzis, Noga Sikron, et al.. (2019). Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data. Communications Biology. 2(1). 214–214. 58 indexed citations
9.
Sadka, Avi, Qiaoping Qin, Macarena Farcuh, et al.. (2019). Ethylene Response of Plum ACC Synthase 1 (ACS1) Promoter is Mediated through the Binding Site of Abscisic Acid Insensitive 5 (ABI5)  . Plants. 8(5). 117–117. 19 indexed citations
10.
Zorraquino, Violeta, David Toubiana, Dawei Yan, & Eduardo Blumwald. (2018). Draft Genome Sequence of the Nitrogen-Fixing Endophyte Azoarcus communis SWub3. Microbiology Resource Announcements. 7(13). 4 indexed citations
11.
Farcuh, Macarena, David Toubiana, Nir Sade, et al.. (2018). Hormone balance in a climacteric plum fruit and its non-climacteric bud mutant during ripening. Plant Science. 280. 51–65. 27 indexed citations
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Toubiana, David, et al.. (2017). Bet-hedging in bacteriocin producing Escherichia coli populations: the single cell perspective. Scientific Reports. 7(1). 42068–42068. 27 indexed citations
13.
Ghan, Ryan, Juli Petereit, Richard Tillett, et al.. (2017). The common transcriptional subnetworks of the grape berry skin in the late stages of ripening. BMC Plant Biology. 17(1). 94–94. 42 indexed citations
14.
Batushansky, Albert, David Toubiana, & Aaron Fait. (2016). Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International. 2016. 1–9. 64 indexed citations
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Rosental, Leah, David Toubiana, Albert Batushansky, et al.. (2016). Environmental and genetic effects on tomato seed metabolic balance and its association with germination vigor. BMC Genomics. 17(1). 1047–1047. 21 indexed citations
17.
Bai, Bing, David Toubiana, Tanya Gendler, et al.. (2015). Metabolic patterns associated with the seasonal rhythm of seed survival after dehydration in germinated seeds of Schismus arabicus. BMC Plant Biology. 15(1). 37–37. 2 indexed citations
18.
Degu, Asfaw, Caterina Morcia, Giorgio Tumino, et al.. (2014). Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes. Plant Physiology and Biochemistry. 86. 24–33. 19 indexed citations
19.
Batushansky, Albert, David Toubiana, Jędrzej Szymański, et al.. (2013). The Investment in Scent: Time-Resolved Metabolic Processes in Developing Volatile-Producing Nigella sativa L. Seeds. PLoS ONE. 8(9). e73061–e73061. 4 indexed citations
20.
Toubiana, David, Alisdair R. Fernie, Zoran Nikoloski, & Aaron Fait. (2012). Network analysis: tackling complex data to study plant metabolism. Trends in biotechnology. 31(1). 29–36. 76 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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