José M. Álvarez

2.8k total citations · 1 hit paper
36 papers, 1.8k citations indexed

About

José M. Álvarez is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, José M. Álvarez has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 14 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in José M. Álvarez's work include Plant Molecular Biology Research (26 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Stress Responses and Tolerance (11 papers). José M. Álvarez is often cited by papers focused on Plant Molecular Biology Research (26 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Stress Responses and Tolerance (11 papers). José M. Álvarez collaborates with scholars based in Chile, United States and France. José M. Álvarez's co-authors include Rodrigo A. Gutiérrez, Elena A. Vidal, Gloria M. Coruzzi, Eleodoro Riveras, Matthew D. Brooks, Viviana Araus, Orlando Contreras‐López, Gabriel Krouk, Sandrine Ruffel and Laurence Lejay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

José M. Álvarez

33 papers receiving 1.7k citations

Hit Papers

Nitrate in 2020: Thirty Years from Transport to Signaling... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José M. Álvarez Chile 19 1.6k 443 123 68 55 36 1.8k
Sophie Léran France 15 1.2k 0.8× 366 0.8× 74 0.6× 57 0.8× 30 0.5× 17 1.3k
Sonia Gazzarrini Canada 24 2.5k 1.6× 1.2k 2.7× 89 0.7× 67 1.0× 27 0.5× 35 2.8k
Marjorie Pervent France 13 1.3k 0.8× 346 0.8× 58 0.5× 122 1.8× 15 0.3× 16 1.4k
Marc Lepetit France 24 2.6k 1.6× 629 1.4× 163 1.3× 303 4.5× 41 0.7× 39 2.8k
Maurizio Chiurazzi Italy 24 1.1k 0.7× 421 1.0× 44 0.4× 184 2.7× 52 0.9× 49 1.3k
Elena A. Vidal Chile 18 2.2k 1.4× 702 1.6× 146 1.2× 90 1.3× 10 0.2× 37 2.5k
Erwan Le Deunff France 14 796 0.5× 343 0.8× 27 0.2× 57 0.8× 18 0.3× 23 872
Thomas Girin France 14 1.9k 1.2× 880 2.0× 96 0.8× 67 1.0× 11 0.2× 17 2.0k
Daniela Dietrich United Kingdom 16 1.3k 0.8× 611 1.4× 28 0.2× 31 0.5× 11 0.2× 20 1.5k
Benjamin Neuhäuser Germany 20 1.2k 0.7× 262 0.6× 55 0.4× 55 0.8× 5 0.1× 35 1.4k

Countries citing papers authored by José M. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by José M. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Álvarez. 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 José M. Álvarez. The network helps show where José M. Álvarez may publish in the future.

Co-authorship network of co-authors of José M. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Álvarez. A scholar is included among the top collaborators of José M. Álvarez 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 José M. Álvarez. José M. Álvarez 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
3.
Shanks, Carly M., Matthew D. Brooks, Chia‐Yi Cheng, et al.. (2024). Nitrogen sensing and regulatory networks: it's about time and space. The Plant Cell. 36(5). 1482–1503. 18 indexed citations
4.
Riveras, Eleodoro, et al.. (2024). Dynamic changes in mRNA nucleocytoplasmic localization in the nitrate response of Arabidopsis roots. Plant Cell & Environment. 47(11). 4227–4245. 4 indexed citations
5.
Pacheco, Javier Martínez, Limei Song, Miroslav Ovečka, et al.. (2023). Cell surface receptor kinase FERONIA linked to nutrient sensor TORC signaling controls root hair growth at low temperature linked to low nitrate in Arabidopsis thaliana. New Phytologist. 238(1). 169–185. 28 indexed citations
6.
Álvarez, José M., et al.. (2023). Insights into molecular links and transcription networks integrating drought stress and nitrogen signaling. New Phytologist. 241(2). 560–566. 11 indexed citations
7.
Moyano, Tomás C., Andrea Vega, Luis Larrondo, et al.. (2023). The Botrytis cinerea Gene Expression Browser. Journal of Fungi. 9(1). 84–84. 1 indexed citations
8.
Contreras‐López, Orlando, Elena A. Vidal, Eleodoro Riveras, et al.. (2022). Spatiotemporal analysis identifies ABF2 and ABF3 as key hubs of endodermal response to nitrate. Proceedings of the National Academy of Sciences. 119(4). 35 indexed citations
9.
Álvarez, José M., et al.. (2022). Molecular mechanisms underlying nitrate responses in plants. Current Biology. 32(9). R433–R439. 16 indexed citations
10.
Álvarez, José M., Matthew D. Brooks, Joseph Swift, & Gloria M. Coruzzi. (2021). Time-Based Systems Biology Approaches to Capture and Model Dynamic Gene Regulatory Networks. Annual Review of Plant Biology. 72(1). 105–131. 25 indexed citations
11.
Moyano, Tomás C., Rodrigo A. Gutiérrez, & José M. Álvarez. (2021). Genomic Footprinting Analyses from DNase-seq Data to Construct Gene Regulatory Networks. Methods in molecular biology. 2328. 25–46. 2 indexed citations
12.
Vidal, Elena A., José M. Álvarez, Viviana Araus, et al.. (2020). Nitrate in 2020: Thirty Years from Transport to Signaling Networks. The Plant Cell. 32(7). 2094–2119. 257 indexed citations breakdown →
13.
Swift, Joseph, José M. Álvarez, Viviana Araus, Rodrigo A. Gutiérrez, & Gloria M. Coruzzi. (2020). Nutrient dose-responsive transcriptome changes driven by Michaelis–Menten kinetics underlie plant growth rates. Proceedings of the National Academy of Sciences. 117(23). 12531–12540. 40 indexed citations
14.
Brooks, Matthew D., Manpreet S. Katari, José M. Álvarez, et al.. (2020). ConnecTF: A platform to integrate transcription factor–gene interactions and validate regulatory networks. PLANT PHYSIOLOGY. 185(1). 49–66. 38 indexed citations
15.
Álvarez, José M., Matthew D. Brooks, Angelo Pasquino, et al.. (2020). Transient genome-wide interactions of the master transcription factor NLP7 initiate a rapid nitrogen-response cascade. Nature Communications. 11(1). 1157–1157. 117 indexed citations
16.
Araus, Viviana, Joseph Swift, José M. Álvarez, Amelia Henry, & Gloria M. Coruzzi. (2020). A balancing act: how plants integrate nitrogen and water signals. Journal of Experimental Botany. 71(15). 4442–4451. 67 indexed citations
17.
Álvarez, José M., Tomás C. Moyano, Tao Zhang, et al.. (2019). Local Changes in Chromatin Accessibility and Transcriptional Networks Underlying the Nitrate Response in Arabidopsis Roots. Molecular Plant. 12(12). 1545–1560. 31 indexed citations
18.
Vidal, Elena A., José M. Álvarez, Tomás C. Moyano, & Rodrigo A. Gutiérrez. (2015). Transcriptional networks in the nitrate response of Arabidopsis thaliana. Current Opinion in Plant Biology. 27. 125–132. 72 indexed citations
19.
Álvarez, José M., Elena A. Vidal, & Rodrigo A. Gutiérrez. (2012). Integration of local and systemic signaling pathways for plant N responses. Current Opinion in Plant Biology. 15(2). 185–191. 122 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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