Fábio Fernandes

2.8k total citations · 1 hit paper
66 papers, 2.2k citations indexed

About

Fábio Fernandes is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fábio Fernandes has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 10 papers in Biomedical Engineering and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fábio Fernandes's work include Lipid Membrane Structure and Behavior (28 papers), Cellular transport and secretion (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Fábio Fernandes is often cited by papers focused on Lipid Membrane Structure and Behavior (28 papers), Cellular transport and secretion (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Fábio Fernandes collaborates with scholars based in Portugal, France and Spain. Fábio Fernandes's co-authors include Manuel Prieto, Maria Helena Costa, Sandra Caeiro, Marco Paìnho, Guilherme Fulgêncio de Medeiros, Tomás B. Ramos, Luís M. S. Loura, Alexander Fedorov, Sandra N. Pinto and Jean‐François Le Meins and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Applied and Environmental Microbiology.

In The Last Decade

Fábio Fernandes

64 papers receiving 2.2k citations

Hit Papers

Assessing heavy metal con... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fábio Fernandes Portugal 28 1.1k 548 283 266 259 66 2.2k
Ying Xiong China 28 626 0.6× 336 0.6× 248 0.9× 40 0.2× 319 1.2× 100 2.0k
Jing Qi China 28 1.0k 0.9× 164 0.3× 469 1.7× 82 0.3× 386 1.5× 95 3.2k
R. Carvalho Italy 18 579 0.5× 863 1.6× 247 0.9× 39 0.1× 190 0.7× 55 2.5k
Wai Hung Lo Hong Kong 22 280 0.3× 577 1.1× 815 2.9× 161 0.6× 404 1.6× 57 2.4k
Michael G. Weller Germany 35 1.4k 1.3× 304 0.6× 91 0.3× 35 0.1× 910 3.5× 151 4.0k
Dhrubajyoti Chattopadhyay India 32 1.0k 1.0× 309 0.6× 73 0.3× 14 0.1× 227 0.9× 108 3.0k
Xiaowei Jin China 24 551 0.5× 800 1.5× 232 0.8× 17 0.1× 234 0.9× 85 2.5k
Nikola Tolić United States 44 2.2k 2.0× 184 0.3× 160 0.6× 17 0.1× 536 2.1× 90 4.6k
Chengcheng Wang China 23 624 0.6× 128 0.2× 62 0.2× 53 0.2× 251 1.0× 82 1.9k
Liang Xu China 25 1.2k 1.1× 177 0.3× 75 0.3× 59 0.2× 98 0.4× 90 1.6k

Countries citing papers authored by Fábio Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Fernandes

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Fernandes. A scholar is included among the top collaborators of Fábio Fernandes 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 Fábio Fernandes. Fábio Fernandes 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.
Fernandes, Fábio, et al.. (2023). Business Intelligence: Trends and the Impact of Emerging Technologies. 1–6. 5 indexed citations
2.
Pinto, Sandra N., et al.. (2023). Extracellular Vesicles and Infection: From Hijacked Machinery to Therapeutic Tools. Pharmaceutics. 15(6). 1738–1738. 6 indexed citations
3.
Pinto, Sandra N., Tiago G. Fernandes, Fábio Fernandes, et al.. (2022). Xeno-Free Integrated Platform for Robust Production of Cardiomyocyte Sheets from hiPSCs. Stem Cells International. 2022. 1–11. 3 indexed citations
5.
Ribeiro, Ricardo A., et al.. (2022). Crosstalk between Yeast Cell Plasma Membrane Ergosterol Content and Cell Wall Stiffness under Acetic Acid Stress Involving Pdr18. Journal of Fungi. 8(2). 103–103. 21 indexed citations
6.
Pinto, Sandra N., Tiago G. Fernandes, Fábio Fernandes, et al.. (2022). Cost-Effective Mechanical Aggregation of Cardiac Progenitors and Encapsulation in Matrigel Support Self-Organization in a Dynamic Culture Environment. International Journal of Molecular Sciences. 23(24). 15785–15785. 2 indexed citations
7.
Ribeiro, Ricardo A., et al.. (2021). Yeast adaptive response to acetic acid stress involves structural alterations and increased stiffness of the cell wall. Scientific Reports. 11(1). 12652–12652. 46 indexed citations
8.
Borges-Araújo, Luís, Marco M. Domingues, Alexander Fedorov, et al.. (2021). Acyl-chain saturation regulates the order of phosphatidylinositol 4,5-bisphosphate nanodomains. Communications Chemistry. 4(1). 8 indexed citations
9.
Antunes, Patrícia Alexandra, Fábio M. F. Santos, Jesús F. Arteaga, et al.. (2021). The BASHY Platform Enables the Assembly of a Fluorescent Bortezomib–GV1001 Conjugate. ACS Medicinal Chemistry Letters. 13(1). 128–133. 4 indexed citations
10.
Pinto, Sandra N., et al.. (2021). The Azurin-Derived Peptide CT-p19LC Exhibits Membrane-Active Properties and Induces Cancer Cell Death. Biomedicines. 9(9). 1194–1194. 9 indexed citations
11.
Sarmento, Maria J., Luís Borges-Araújo, Sandra N. Pinto, et al.. (2021). Quantitative FRET Microscopy Reveals a Crucial Role of Cytoskeleton in Promoting PI(4,5)P2 Confinement. International Journal of Molecular Sciences. 22(21). 11727–11727. 1 indexed citations
12.
Russo, Roberto, et al.. (2020). Engineering Boron Hot Spots for the Site‐Selective Installation of Iminoboronates on Peptide Chains. Chemistry - A European Journal. 26(66). 15226–15231. 10 indexed citations
13.
Reichmann, Nathalie T., Andreia C. Tavares, Bruno M. Saraiva, et al.. (2019). SEDS–bPBP pairs direct lateral and septal peptidoglycan synthesis in Staphylococcus aureus. Nature Microbiology. 4(8). 1368–1377. 84 indexed citations
16.
Sarmento, Maria J., Ana Coutinho, Alexander Fedorov, Manuel Prieto, & Fábio Fernandes. (2017). Membrane Order Is a Key Regulator of Divalent Cation-Induced Clustering of PI(3,5)P2 and PI(4,5)P2. Langmuir. 33(43). 12463–12477. 12 indexed citations
17.
Leal, João Paulo, Maria Helena Casimiro, L.M. Ferreira, et al.. (2017). A Case of Self‐Organization in Highly Emissive EuIII Ionic Liquids. European Journal of Inorganic Chemistry. 2017(28). 3429–3434. 10 indexed citations
18.
Sarmento, Maria J., Sandra N. Pinto, Ana Coutinho, Manuel Prieto, & Fábio Fernandes. (2016). Accurate quantification of inter-domain partition coefficients in GUVs exhibiting lipid phase coexistence. RSC Advances. 6(71). 66641–66649. 5 indexed citations
19.
Coutinho, Ana, Alexander Fedorov, Rui Moreira, et al.. (2013). The Apoptotic Bile Acid DCA has Preference for Association to Liquid Disordered Lipid Domains and Inhibits the Rigidifying Effect of Cholesterol in Membranes. Biophysical Journal. 104(2). 586a–586a.
20.
Fernandes, Fábio, Luís M. S. Loura, Manuel Prieto, et al.. (2003). Dependence of M13 Major Coat Protein Oligomerization and Lateral Segregation on Bilayer Composition. Biophysical Journal. 85(4). 2430–2441. 35 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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