Inês Chaves

939 total citations
24 papers, 428 citations indexed

About

Inês Chaves is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Inês Chaves has authored 24 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Inês Chaves's work include Plant Gene Expression Analysis (7 papers), Plant Molecular Biology Research (6 papers) and Plant Surface Properties and Treatments (5 papers). Inês Chaves is often cited by papers focused on Plant Gene Expression Analysis (7 papers), Plant Molecular Biology Research (6 papers) and Plant Surface Properties and Treatments (5 papers). Inês Chaves collaborates with scholars based in Portugal, United Kingdom and Brazil. Inês Chaves's co-authors include Cândido Pinto Ricardo, Celia María Gonzalo Miguel, Carla Pinheiro, Ana Regalado, Leonor Guerra‐Guimarães, Jenny Renaut, Ming Chen, Allan M. Showalter, Danielle Ribeiro de Barros and Sheila Vidal and has published in prestigious journals such as Scientific Reports, FEBS Letters and Plant Cell & Environment.

In The Last Decade

Inês Chaves

24 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inês Chaves Portugal 13 334 257 45 33 27 24 428
Pascale Maillot France 11 386 1.2× 258 1.0× 36 0.8× 56 1.7× 33 1.2× 12 435
Jinhua Xu China 12 345 1.0× 153 0.6× 34 0.8× 35 1.1× 8 0.3× 18 432
Suresh Tula India 11 391 1.2× 255 1.0× 20 0.4× 13 0.4× 27 1.0× 16 474
Rolando García‐Gonzáles Chile 11 258 0.8× 246 1.0× 44 1.0× 26 0.8× 38 1.4× 23 359
Arsheed H. Sheikh Saudi Arabia 15 607 1.8× 367 1.4× 43 1.0× 8 0.2× 19 0.7× 25 737
Christin Fellenberg Germany 10 270 0.8× 343 1.3× 36 0.8× 20 0.6× 43 1.6× 12 463
Daniel Alves Ramiro Brazil 10 429 1.3× 300 1.2× 21 0.5× 9 0.3× 22 0.8× 14 530
Sami Irar Spain 10 479 1.4× 455 1.8× 17 0.4× 32 1.0× 64 2.4× 13 719
Maria Amely Zavattieri Portugal 9 375 1.1× 367 1.4× 29 0.6× 30 0.9× 21 0.8× 21 457
Rémi Bounon France 9 488 1.5× 313 1.2× 52 1.2× 107 3.2× 8 0.3× 9 591

Countries citing papers authored by Inês Chaves

Since Specialization
Citations

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

Fields of papers citing papers by Inês Chaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inês Chaves

This figure shows the co-authorship network connecting the top 25 collaborators of Inês Chaves. A scholar is included among the top collaborators of Inês Chaves 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 Inês Chaves. Inês Chaves 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
1.
Chaves, Inês, et al.. (2024). Uncovering miRNA-Mediated Regulation in Phellem Versus Xylem Differentiation in Quercus suber L.. Journal of Plant Growth Regulation. 44(4). 1753–1766. 3 indexed citations
2.
Chaves, Inês, et al.. (2023). The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber. PLoS Computational Biology. 19(9). e1011499–e1011499. 10 indexed citations
3.
Perdiguero, Pedro, Inês Chaves, Nuria de María, et al.. (2020). Comprehensive analysis of the isomiRome in the vegetative organs of the conifer Pinus pinaster under contrasting water availability. Plant Cell & Environment. 44(3). 706–728. 7 indexed citations
4.
Miguel, Celia María Gonzalo, Tamás Dalmay, & Inês Chaves. (2020). Plant microRNAs. 10 indexed citations
5.
Pinheiro, Carla, et al.. (2020). Primary Metabolism Is Distinctly Modulated by Plant Resistance Inducers in Coffea arabica Leaves Infected by Hemileia vastatrix. Frontiers in Plant Science. 11. 309–309. 11 indexed citations
6.
7.
Rodrigues, Ana Margarida, Celia María Gonzalo Miguel, Inês Chaves, & Carla António. (2019). Mass spectrometry‐based forest tree metabolomics. Mass Spectrometry Reviews. 40(2). 126–157. 23 indexed citations
8.
Usié, Ana, Pedro Barbosa, Ana Margarida Fortes, et al.. (2018). Characterization of the cork formation and production transcriptome in Quercus cerris × suber hybrids. Physiology and Molecular Biology of Plants. 24(4). 535–549. 8 indexed citations
9.
Usié, Ana, Fernanda Simões, Pedro Barbosa, et al.. (2017). Comprehensive Analysis of the Cork Oak (Quercus suber) Transcriptome Involved in the Regulation of Bud Sprouting. Forests. 8(12). 486–486. 8 indexed citations
10.
Chaves, Inês, et al.. (2017). miRPursuit—a pipeline for automated analyses of small RNAs in model and nonmodel plants. FEBS Letters. 591(15). 2261–2268. 8 indexed citations
11.
Chaves, Inês, et al.. (2017). Identification of miRNAs as Mediators of Coffea arabica Resistance to Hemileia vastatrix. Figshare. 1 indexed citations
12.
Guerra‐Guimarães, Leonor, Carla Pinheiro, Inês Chaves, et al.. (2015). Proteomic analysis of apoplastic fluid of Coffea arabica leaves highlights novel biomarkers for resistance against Hemileia vastatrix. Frontiers in Plant Science. 6. 478–478. 37 indexed citations
13.
Vega, José J. De, Liliana Marum, Inês Chaves, et al.. (2015). Characterization of the cork oak transcriptome dynamics during acorn development. BMC Plant Biology. 15(1). 158–158. 21 indexed citations
14.
Guerra‐Guimarães, Leonor, Ana Vieira, Inês Chaves, et al.. (2014). Effect of greenhouse conditions on the leaf apoplastic proteome of Coffea arabica plants. Journal of Proteomics. 104. 128–139. 17 indexed citations
15.
Chaves, Inês, J. A. Passarinho, Cláudio Capitão, et al.. (2011). Temperature stress effects in Quercus suber leaf metabolism. Journal of Plant Physiology. 168(15). 1729–1734. 25 indexed citations
16.
Chaves, Inês, et al.. (2011). Protein changes during programmed cell death in tobacco. Biologia Plantarum. 55(1). 153–158. 7 indexed citations
17.
Alves, Marta M., et al.. (2010). Detection of novel trypsin inhibitors in the cotyledons of Phaseolus vulgaris seeds. Journal of Plant Physiology. 167(10). 848–854. 12 indexed citations
18.
Chaves, Inês, Carla Pinheiro, Jorge A. P. Paiva, et al.. (2009). Proteomic evaluation of wound‐healing processes in potato (Solanum tuberosum L.) tuber tissue. PROTEOMICS. 9(17). 4154–4175. 34 indexed citations
19.
Chaves, Inês, Ana Regalado, Ming Chen, Cândido Pinto Ricardo, & Allan M. Showalter. (2002). Programmed cell death induced by (βd‐galactosyl)3 Yariv reagent in Nicotiana tabacum BY‐2 suspension‐cultured cells. Physiologia Plantarum. 116(4). 548–553. 50 indexed citations
20.
Regalado, Ana, Carla Pinheiro, Sheila Vidal, et al.. (2000). The Lupinus albus class-III chitinase gene, IF3 , is constitutively expressed in vegetative organs and developing seeds. Planta. 210(4). 543–550. 45 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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