Fernando Corrêa

558 total citations
20 papers, 428 citations indexed

About

Fernando Corrêa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Fernando Corrêa has authored 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Neurology. Recurrent topics in Fernando Corrêa's work include Genomics, phytochemicals, and oxidative stress (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). Fernando Corrêa is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). Fernando Corrêa collaborates with scholars based in United States, Brazil and Sweden. Fernando Corrêa's co-authors include Mats Sandberg, Michael Nilsson, Carina Mallard, Kevin H. Gardner, Chuck S. Farah, Giomar Rivera‐Cancel, Diana R. Tomchick, Stephen G. Weber, Luis Marcelo F. Holthauzen and Roberto A. Bogomolni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Fernando Corrêa

19 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
Fernando Corrêa United States 13 283 64 57 51 46 20 428
Roderick Hori United States 13 378 1.3× 46 0.7× 91 1.6× 23 0.5× 29 0.6× 20 658
Maria del Carmen Vitery United States 8 398 1.4× 150 2.3× 62 1.1× 13 0.3× 91 2.0× 8 614
Madhuparna Roy India 11 303 1.1× 71 1.1× 20 0.4× 23 0.5× 22 0.5× 23 473
Chung-Jiuan Jeng Taiwan 14 248 0.9× 101 1.6× 27 0.5× 38 0.7× 15 0.3× 18 397
Zhengyu Cao China 15 324 1.1× 116 1.8× 231 4.1× 30 0.6× 16 0.3× 30 667
Cristina Dallabona Italy 14 703 2.5× 79 1.2× 48 0.8× 25 0.5× 44 1.0× 41 809
Badi Sri Sailaja Israel 13 439 1.6× 39 0.6× 87 1.5× 61 1.2× 19 0.4× 23 633
Yuying Wu United States 11 327 1.2× 96 1.5× 13 0.2× 18 0.4× 25 0.5× 24 459
Evgeny E. Akkuratov Russia 11 349 1.2× 120 1.9× 45 0.8× 13 0.3× 20 0.4× 26 482

Countries citing papers authored by Fernando Corrêa

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Corrêa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Corrêa

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Corrêa. A scholar is included among the top collaborators of Fernando Corrêa 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 Fernando Corrêa. Fernando Corrêa 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.
2.
Corrêa, Fernando, Quoc Long Pham, Namrata Prasad, et al.. (2021). Biophysical Characterization of Antibody Biopolymer Conjugate (ABC) Platform for Improved Therapy of Retinal Vascular Diseases. Investigative Ophthalmology & Visual Science. 62(8). 561–561.
3.
Corrêa, Fernando, et al.. (2020). Characterization of Antibody Biopolymer Conjugate reveals superior biophysical properties compared to naked antibodies. Investigative Ophthalmology & Visual Science. 61(7). 4237–4237. 3 indexed citations
4.
Scopinho, América A., et al.. (2019). Role of the endocannabinoid system in the dorsal hippocampus in the cardiovascular changes and delayed anxiety-like effect induced by acute restraint stress in rats. Journal of Psychopharmacology. 33(5). 606–614. 18 indexed citations
5.
Corrêa, Fernando, Jason Key, Brian Kuhlman, & Kevin H. Gardner. (2016). Computational Repacking of HIF-2α Cavity Replaces Water-Based Stabilized Core. Structure. 24(11). 1918–1927. 5 indexed citations
6.
Corrêa, Fernando & Kevin H. Gardner. (2016). Basis of Mutual Domain Inhibition in a Bacterial Response Regulator. Cell chemical biology. 23(8). 945–954. 12 indexed citations
7.
Corrêa, Fernando, et al.. (2015). Ligand-Induced Folding of a Two-Component Signaling Receiver Domain. Biochemistry. 54(6). 1353–1363. 12 indexed citations
8.
Rivera‐Cancel, Giomar, et al.. (2014). Full-length structure of a monomeric histidine kinase reveals basis for sensory regulation. Proceedings of the National Academy of Sciences. 111(50). 17839–17844. 69 indexed citations
9.
Moon, Thomas M., et al.. (2013). Solution Structure of the WNK1 Autoinhibitory Domain, a WNK-Specific PF2 Domain. Journal of Molecular Biology. 425(8). 1245–1252. 14 indexed citations
10.
Corrêa, Fernando, Jaspal Patil, Xiaoyang Wang, et al.. (2013). Time-Dependent Effects of Systemic Lipopolysaccharide Injection on Regulators of Antioxidant Defence Nrf2 and PGC-1α in the Neonatal Rat Brain. NeuroImmunoModulation. 20(4). 185–193. 13 indexed citations
11.
12.
Corrêa, Fernando, Carina Mallard, Michael Nilsson, & Mats Sandberg. (2012). Dual TNFα-Induced Effects on NRF2 Mediated Antioxidant Defence in Astrocyte-Rich Cultures: Role of Protein Kinase Activation. Neurochemical Research. 37(12). 2842–2855. 16 indexed citations
13.
Corrêa, Fernando, Carina Mallard, Michael Nilsson, & Mats Sandberg. (2011). Activated microglia decrease histone acetylation and Nrf2-inducible anti-oxidant defence in astrocytes: Restoring effects of inhibitors of HDACs, p38 MAPK and GSK3β. Neurobiology of Disease. 44(1). 142–151. 91 indexed citations
14.
15.
Stridh, Malin H., Fernando Corrêa, Christina Nodin, et al.. (2010). Enhanced Glutathione Efflux from Astrocytes in Culture by Low Extracellular Ca2+ and Curcumin. Neurochemical Research. 35(8). 1231–1238. 42 indexed citations
16.
Corrêa, Fernando, Chuck S. Farah, & Roberto Köpke Salinas. (2009). Mg2+ ions bind at the C‐terminal region of skeletal muscle α‐tropomyosin. Biopolymers. 91(7). 583–590. 4 indexed citations
17.
Corrêa, Fernando, Roberto Köpke Salinas, Alexandre M. J. J. Bonvin, & Chuck S. Farah. (2008). Deciphering the role of the electrostatic interactions in the α‐tropomyosin head‐to‐tail complex. Proteins Structure Function and Bioinformatics. 73(4). 902–917. 5 indexed citations
18.
Corrêa, Fernando & Chuck S. Farah. (2007). Different Effects of Trifluoroethanol and Glycerol on the Stability of Tropomyosin Helices and the Head-to-Tail Complex. Biophysical Journal. 92(7). 2463–2475. 16 indexed citations
19.
Corrêa, Fernando & Chuck S. Farah. (2005). Using 5-Hydroxytryptophan as a Probe to Follow Protein-Protein Interactions and Protein Folding Transitions. Protein and Peptide Letters. 12(3). 241–244. 8 indexed citations
20.
Holthauzen, Luis Marcelo F., Fernando Corrêa, & Chuck S. Farah. (2004). Ca2+-induced Rolling of Tropomyosin in Muscle Thin Filaments. Journal of Biological Chemistry. 279(15). 15204–15213. 32 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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