Paula Fernández

900 total citations
35 papers, 653 citations indexed

About

Paula Fernández is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Paula Fernández has authored 35 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 22 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Paula Fernández's work include Plant Gene Expression Analysis (10 papers), Plant Molecular Biology Research (10 papers) and Plant Stress Responses and Tolerance (8 papers). Paula Fernández is often cited by papers focused on Plant Gene Expression Analysis (10 papers), Plant Molecular Biology Research (10 papers) and Plant Stress Responses and Tolerance (8 papers). Paula Fernández collaborates with scholars based in Argentina, Spain and United Kingdom. Paula Fernández's co-authors include Norma Paniego, H. Esteban Hopp, Sebastián Moschen, Ruth Amelia Heinz, Julio A. Di Rienzo, Sergio González, Máximo Rivarola, Ruth A. Heinz, Guillermo A. A. Dosio and Luis G. Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Paula Fernández

33 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Fernández Argentina 15 482 386 66 52 42 35 653
Matthew Shenton Japan 14 797 1.7× 504 1.3× 99 1.5× 42 0.8× 63 1.5× 27 974
Xiaolong Huang China 15 466 1.0× 291 0.8× 60 0.9× 51 1.0× 16 0.4× 32 598
Fei Shen China 17 578 1.2× 434 1.1× 68 1.0× 48 0.9× 36 0.9× 40 770
Gerard van der Linden Netherlands 12 697 1.4× 341 0.9× 67 1.0× 48 0.9× 78 1.9× 21 883
J. George Gibbings United Kingdom 11 488 1.0× 272 0.7× 57 0.9× 98 1.9× 59 1.4× 12 608
Quanhua Wang China 14 672 1.4× 304 0.8× 82 1.2× 32 0.6× 22 0.5× 26 824
Fabio Palumbo Italy 15 435 0.9× 253 0.7× 109 1.7× 67 1.3× 34 0.8× 43 584
Claude Bomal Canada 10 332 0.7× 417 1.1× 37 0.6× 37 0.7× 24 0.6× 12 536
Swee‐Suak Ko Taiwan 16 972 2.0× 652 1.7× 47 0.7× 72 1.4× 29 0.7× 30 1.1k
Jianchang Du China 17 849 1.8× 493 1.3× 109 1.7× 60 1.2× 18 0.4× 30 1.1k

Countries citing papers authored by Paula Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Paula Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Fernández. A scholar is included among the top collaborators of Paula Fernández 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 Paula Fernández. Paula Fernández 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.
Moschen, Sebastián, Gabriela Conti, Sergio González, et al.. (2025). Exploring the Genetic Networks of HLB Tolerance in Citrus: Insights Across Species and Tissues. Plants. 14(12). 1792–1792.
2.
3.
Hoxha, Genc, et al.. (2024). Sunpheno: A Deep Neural Network for Phenological Classification of Sunflower Images. Plants. 13(14). 1998–1998. 2 indexed citations
4.
Fernández, Paula, et al.. (2022). Generation of Gnih Hormone/pluronic F-127 Systems by Supercritical Antisolvent Process. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Pierantozzi, Pierluigi, Damián Maestri, Peter S. Searles, et al.. (2022). How Temperatures May Affect the Synthesis of Fatty Acids during Olive Fruit Ripening: Genes at Work in the Field. Plants. 12(1). 54–54. 11 indexed citations
6.
Cenci, Alberto, Sebastián Moschen, Julia Sabio y García, et al.. (2021). Genome-wide and comparative phylogenetic analysis of senescence-associated NAC transcription factors in sunflower (Helianthus annuus). BMC Genomics. 22(1). 893–893. 10 indexed citations
7.
Vigliocco, Ana, Sebastián Moschen, Paula Fernández, et al.. (2020). Transcriptomic Analysis Reveals a Differential Gene Expression Profile Between Two Sunflower Inbred Lines with Different Ability to Tolerate Water Stress. Plant Molecular Biology Reporter. 38(2). 222–237. 9 indexed citations
8.
9.
Sautua, Francisco, Vinson P. Doyle, Paul P. Price, et al.. (2020). Fungicide resistance in Cercospora species causing cercospora leaf blight and purple seed stain of soybean in Argentina. Plant Pathology. 69(9). 1678–1694. 24 indexed citations
10.
Trupkin, Santiago Ariel, Sergio González, Sebastián Moschen, et al.. (2019). Identification and expression analysis of NAC transcription factors potentially involved in leaf and petal senescence in Petunia hybrida. Plant Science. 287. 110195–110195. 24 indexed citations
11.
Moschen, Sebastián, Janet Higgins, Saleh Alseekh, et al.. (2019). Exploring gene networks in two sunflower lines with contrasting leaf senescence phenotype using a system biology approach. BMC Plant Biology. 19(1). 446–446. 16 indexed citations
12.
Rivarola, Máximo, Sergio González, Paula Fernández, et al.. (2018). De novo transcriptome sequencing and SSR markers development for Cedrela balansae C.DC., a native tree species of northwest Argentina. PLoS ONE. 13(12). e0203768–e0203768. 4 indexed citations
13.
González, Sergio, Bernardo Clavijo, Máximo Rivarola, et al.. (2017). ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data. BMC Bioinformatics. 18(1). 121–121. 5 indexed citations
14.
15.
Moschen, Sebastián, Norma Paniego, H. Esteban Hopp, et al.. (2014). Identification of Candidate Genes Associated with Leaf Senescence in Cultivated Sunflower (Helianthus annuus L.). PLoS ONE. 9(8). e104379–e104379. 22 indexed citations
16.
Rivarola, Máximo, Paula Fernández, Paula Marchelli, et al.. (2012). Transcriptome survey of Patagonian southern beech Nothofagus nervosa (= N. Alpina): assembly, annotation and molecular marker discovery. BMC Genomics. 13(1). 291–291. 21 indexed citations
17.
Fernández, Paula, Marcelo Soria, David Blesa, et al.. (2012). Development, Characterization and Experimental Validation of a Cultivated Sunflower (Helianthus annuus L.) Gene Expression Oligonucleotide Microarray. PLoS ONE. 7(10). e45899–e45899. 26 indexed citations
18.
Fernández, Paula, et al.. (2011). Discovery, validation, and in silico functional characterization of EST-SSR markers in Eucalyptus globulus. Tree Genetics & Genomes. 8(2). 289–301. 29 indexed citations
19.
Fernández, Paula, Julio A. Di Rienzo, Sebastián Moschen, et al.. (2010). Comparison of predictive methods and biological validation for qPCR reference genes in sunflower leaf senescence transcript analysis. Plant Cell Reports. 30(1). 63–74. 65 indexed citations
20.
Fernández, Paula, Diego F. Segura, C. Callejas, M. D. Ochando, & B. N. Barnes. (2004). A phylogenetic study of the family Tephritidae (Insecta: Diptera) using a mitochondrial DNA sequence.. 439–443. 3 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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