Mariana Conte

4.2k total citations
10 papers, 247 citations indexed

About

Mariana Conte is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mariana Conte has authored 10 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Mariana Conte's work include Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Mariana Conte is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Mariana Conte collaborates with scholars based in Argentina, Germany and Brazil. Mariana Conte's co-authors include Fernando Carrari, Christophe Périn, Mathieu Rouard, Sylvain Gaillard, Alisdair R. Fernie, Magdalena Rossi, Luisa Bermúdez, Bruno Silvestre Lira, Adriano Nunes‐Nesi and Saleh Alseekh and has published in prestigious journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and Journal of Experimental Botany.

In The Last Decade

Mariana Conte

10 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mariana Conte Argentina	9	200	143	41	12	11	10	247
Patricia Ballias France	7	275 1.4×	132 0.9×	17 0.4×	20 1.7×	15 1.4×	9	334
Baoguang An China	8	248 1.2×	153 1.1×	29 0.7×	5 0.4×	7 0.6×	11	304
Hongping Chang China	10	247 1.2×	133 0.9×	15 0.4×	8 0.7×	5 0.5×	12	293
Isidore Diouf France	6	257 1.3×	109 0.8×	60 1.5×	6 0.5×	4 0.4×	7	297
Ambika Dudhate China	8	238 1.2×	137 1.0×	36 0.9×	10 0.8×	3 0.3×	12	282
Harshraj Shinde United States	9	269 1.3×	149 1.0×	37 0.9×	18 1.5×	3 0.3×	18	320
Shoucheng Chai China	9	446 2.2×	284 2.0×	25 0.6×	9 0.8×	4 0.4×	11	506
Guojun Mu China	11	185 0.9×	117 0.8×	18 0.4×	15 1.3×	8 0.7×	19	253
Shakhira Zakhrabekova Sweden	9	340 1.7×	153 1.1×	86 2.1×	7 0.6×	4 0.4×	18	378

Countries citing papers authored by Mariana Conte

Since Specialization

Citations

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

Fields of papers citing papers by Mariana Conte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Conte

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

All Works

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10 of 10 papers shown

Bianchetti, Ricardo, Luis Alejandro de Haro, Daniele Rosado, et al.. (2020). Phytochrome-Dependent Temperature Perception Modulates Isoprenoid Metabolism. PLANT PHYSIOLOGY. 183(3). 869–882. 27 indexed citations

Mori, Kentaro, Martine Lemaire‐Chamley, Joana Jorly, et al.. (2020). The conserved brassinosteroid-related transcription factor BIM1a negatively regulates fruit growth in tomato. Journal of Experimental Botany. 72(4). 1181–1197. 14 indexed citations

Conte, Mariana, Talía del Pozo, Luisa Bermúdez, et al.. (2020). The cytosolic invertase NI6 affects vegetative growth, flowering, fruit set, and yield in tomato. Journal of Experimental Botany. 72(7). 2525–2543. 21 indexed citations

Nunes‐Nesi, Adriano, Saleh Alseekh, Nooshin Omranian, et al.. (2019). Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds. Metabolomics. 15(4). 46–46. 18 indexed citations

Lichtenstein, Gabriel, Saleh Alseekh, Laíse Rosado-Souza, et al.. (2017). The genetic architecture of photosynthesis and plant growth‐related traits in tomato. Plant Cell & Environment. 41(2). 327–341. 50 indexed citations

López, Mariana G., María Inés Zanor, Guillermo Raúl Pratta, et al.. (2015). Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement. Metabolomics. 11(5). 1416–1431. 31 indexed citations

Conte, Mariana, Silvia De Simone, Susan J. Simmons, Carlos L. Ballaré, & Ann E. Stapleton. (2010). Chromosomal loci important for cotyledon opening under UV-B in Arabidopsis thaliana. BMC Plant Biology. 10(1). 112–112. 12 indexed citations

Bazzini, Ariel, Ramón Asís, Sebastián Bassi, et al.. (2010). miSolRNA: A tomato micro RNA relational database. BMC Plant Biology. 10(1). 240–240. 9 indexed citations

Conte, Mariana, et al.. (2007). GreenPhylDB: a database for plant comparative genomics. Nucleic Acids Research. 36(Database). D991–D998. 58 indexed citations

10.

Périn, Christophe, Anne Diévart, Pascal Gantet, et al.. (2007). Novel insights into the genomics of rice root adaptive development. Agritrop (Cirad). 117–141. 7 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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