Sílvia Chafino

485 total citations
16 papers, 290 citations indexed

About

Sílvia Chafino is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Sílvia Chafino has authored 16 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Infectious Diseases. Recurrent topics in Sílvia Chafino's work include Neurobiology and Insect Physiology Research (6 papers), Insect Resistance and Genetics (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Sílvia Chafino is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Insect Resistance and Genetics (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Sílvia Chafino collaborates with scholars based in Spain, Italy and Austria. Sílvia Chafino's co-authors include David Martı́n, Xavier Franch‐Marro, Enric Ureña, Cristina Manjón, Elena Casacuberta, Jordi Casanova, Sumihare Noji, Kenji Tomioka, Jeyaraney Kathirithamby and Helmut Kovac and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Sílvia Chafino

15 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sílvia Chafino Spain 8 153 110 104 88 72 16 290
Xingjia Shen China 12 87 0.6× 271 2.5× 80 0.8× 129 1.5× 26 0.4× 54 407
Flávia Cristina de Paula Freitas Brazil 10 70 0.5× 119 1.1× 180 1.7× 184 2.1× 114 1.6× 19 343
Yongzhu Yi China 12 118 0.8× 298 2.7× 105 1.0× 134 1.5× 99 1.4× 39 532
Stéphane Dupas France 10 106 0.7× 185 1.7× 109 1.0× 152 1.7× 68 0.9× 16 452
Leonardo Araujo de Abreu Brazil 12 77 0.5× 147 1.3× 39 0.4× 134 1.5× 57 0.8× 23 406
Yangsheng Zhong China 8 155 1.0× 146 1.3× 154 1.5× 174 2.0× 27 0.4× 17 362
Jisu Ha United States 7 86 0.6× 151 1.4× 43 0.4× 115 1.3× 21 0.3× 7 278
Fernanda C. Humann Brazil 6 88 0.6× 75 0.7× 157 1.5× 171 1.9× 106 1.5× 8 287
Yike Ding United States 6 117 0.8× 178 1.6× 89 0.9× 73 0.8× 53 0.7× 8 336
Sebastian Kittelmann United Kingdom 7 68 0.4× 193 1.8× 73 0.7× 56 0.6× 46 0.6× 9 267

Countries citing papers authored by Sílvia Chafino

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Chafino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sílvia Chafino

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

All Works

16 of 16 papers shown
1.
Chafino, Sílvia, Laura Tarancón‐Díez, Sonia Alcolea, et al.. (2025). Metabolomics for searching non-invasive biomarkers of metabolic dysfunction-associated steatotic liver disease in youth with vertical HIV. Communications Medicine. 5(1). 433–433. 1 indexed citations
2.
Sánchez, Alba, Graciano García‐Pardo, Frederic Gómez‐Bertomeu, et al.. (2025). Omics for searching plasma biomarkers associated with unfavorable COVID-19 progression in hypertensive patients. Scientific Reports. 15(1). 10343–10343.
3.
Peraire, Joaquim, Graciano García‐Pardo, Sílvia Chafino, et al.. (2024). Immunoglobulins in COVID-19 pneumonia: from the acute phase to the recovery phase. European journal of medical research. 29(1). 223–223. 1 indexed citations
4.
Chafino, Sílvia, et al.. (2023). TGFß/activin-dependent activation of Torso controls the timing of the metamorphic transition in the red flour beetle Tribolium castaneum. PLoS Genetics. 19(11). e1010897–e1010897. 5 indexed citations
5.
Chafino, Sílvia, Panagiotis Giannios, Jordi Casanova, David Martı́n, & Xavier Franch‐Marro. (2023). Antagonistic role of the BTB-zinc finger transcription factors Chinmo and Broad-Complex in the juvenile/pupal transition and in growth control. eLife. 12. 8 indexed citations
6.
Herrero, Pol, Joaquim Peraire, Sílvia Chafino, et al.. (2023). Fucosylated N-glycans as early biomarkers of COVID-19 severity. Frontiers in Immunology. 14. 1204661–1204661. 4 indexed citations
7.
Chafino, Sílvia, Consuelo Viladés, Eugènia Negredo, et al.. (2023). Multi-omics in HIV: searching insights to understand immunological non-response in PLHIV. Frontiers in Immunology. 14. 1228795–1228795. 8 indexed citations
8.
Sánchez, Alba, Graciano García‐Pardo, Frederic Gómez‐Bertomeu, et al.. (2023). Mitochondrial dysfunction, lipids metabolism, and amino acid biosynthesis are key pathways for COVID-19 recovery. iScience. 26(10). 107948–107948. 7 indexed citations
9.
Chafino, Sílvia, David Martı́n, & Xavier Franch‐Marro. (2021). Activation of EGFR signaling by Tc-Vein and Tc-Spitz regulates the metamorphic transition in the red flour beetle Tribolium castaneum. Scientific Reports. 11(1). 18807–18807. 4 indexed citations
10.
Martı́n, David, Sílvia Chafino, & Xavier Franch‐Marro. (2020). How stage identity is established in insects: the role of the Metamorphic Gene Network. Current Opinion in Insect Science. 43. 29–38. 35 indexed citations
11.
Chafino, Sílvia, et al.. (2020). Photoperiod and temperature separately regulate nymphal development through JH and insulin/TOR signaling pathways in an insect. Proceedings of the National Academy of Sciences. 117(10). 5525–5531. 33 indexed citations
12.
Chafino, Sílvia, Enric Ureña, Jordi Casanova, et al.. (2019). Upregulation of E93 Gene Expression Acts as the Trigger for Metamorphosis Independently of the Threshold Size in the Beetle Tribolium castaneum. Cell Reports. 27(4). 1039–1049.e2. 56 indexed citations
13.
Lin, Xianyu, Kristof De Schutter, Sílvia Chafino, et al.. (2019). Target of rapamycin (TOR) determines appendage size during pupa formation of the red flour beetle Tribolium castaneum. Journal of Insect Physiology. 117. 103902–103902. 4 indexed citations
14.
Chafino, Sílvia, David López‐Escardó, Giovanni Benelli, et al.. (2018). Differential expression of the adult specifier E93 in the strepsipteran Xenos vesparum Rossi suggests a role in female neoteny. Scientific Reports. 8(1). 14176–14176. 20 indexed citations
15.
Ureña, Enric, Sílvia Chafino, Cristina Manjón, Xavier Franch‐Marro, & David Martı́n. (2016). The Occurrence of the Holometabolous Pupal Stage Requires the Interaction between E93, Krüppel-Homolog 1 and Broad-Complex. PLoS Genetics. 12(5). e1006020–e1006020. 83 indexed citations
16.
Ureña, Enric, Sílvia Chafino, Coralia Pérez, et al.. (2015). Evolution of SUMO Function and Chain Formation in Insects. Molecular Biology and Evolution. 33(2). 568–584. 21 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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