Frederico Gerlinger‐Romero

614 total citations
17 papers, 428 citations indexed

About

Frederico Gerlinger‐Romero is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Frederico Gerlinger‐Romero has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Physiology. Recurrent topics in Frederico Gerlinger‐Romero's work include Muscle metabolism and nutrition (10 papers), Muscle Physiology and Disorders (9 papers) and Adipose Tissue and Metabolism (7 papers). Frederico Gerlinger‐Romero is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Muscle Physiology and Disorders (9 papers) and Adipose Tissue and Metabolism (7 papers). Frederico Gerlinger‐Romero collaborates with scholars based in Brazil, Australia and United Kingdom. Frederico Gerlinger‐Romero's co-authors include Lucas Guimarães‐Ferreira, Maria Tereza Nunes, Nelo Eidy Zanchi, Caio Yogi Yonamine, Gisele Giannocco, Ubiratan Fabres Machado, Rui Curi, Renato Tadeu Nachbar, Antônio Herbert Lancha and Fábio Santos Lira and has published in prestigious journals such as Nutrients, Life Sciences and Neurobiology of Disease.

In The Last Decade

Frederico Gerlinger‐Romero

17 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederico Gerlinger‐Romero Brazil 10 237 205 159 66 49 17 428
Douglas W. Van Pelt United States 14 165 0.7× 338 1.6× 351 2.2× 121 1.8× 61 1.2× 29 708
Igor L. Baptista Brazil 15 186 0.8× 218 1.1× 389 2.4× 100 1.5× 16 0.3× 27 598
Daniel S. Tangen Norway 9 99 0.4× 233 1.1× 170 1.1× 108 1.6× 26 0.5× 11 405
Luís Gustavo Oliveira de Sousa Brazil 13 118 0.5× 206 1.0× 306 1.9× 61 0.9× 25 0.5× 20 589
Satoru Ato Japan 12 125 0.5× 144 0.7× 232 1.5× 69 1.0× 13 0.3× 29 331
Jazmir M. Hernandez United States 8 181 0.8× 192 0.9× 190 1.2× 86 1.3× 14 0.3× 10 436
Sofhia V. Ramos Canada 14 103 0.4× 334 1.6× 329 2.1× 43 0.7× 26 0.5× 25 591
Cécile Coudy‐Gandilhon France 12 122 0.5× 244 1.2× 283 1.8× 38 0.6× 17 0.3× 29 528
Vanessa Azevedo Voltarelli Brazil 14 104 0.4× 194 0.9× 265 1.7× 97 1.5× 22 0.4× 29 574
Carlos Hermano da Justa Pinheiro Brazil 9 130 0.5× 106 0.5× 146 0.9× 96 1.5× 14 0.3× 13 370

Countries citing papers authored by Frederico Gerlinger‐Romero

Since Specialization
Citations

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

Fields of papers citing papers by Frederico Gerlinger‐Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederico Gerlinger‐Romero. 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 Frederico Gerlinger‐Romero. The network helps show where Frederico Gerlinger‐Romero may publish in the future.

Co-authorship network of co-authors of Frederico Gerlinger‐Romero

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

All Works

17 of 17 papers shown
1.
Murata, Gilson Masahiro, Frederico Gerlinger‐Romero, Renato Tadeu Nachbar, et al.. (2023). Changes in Skeletal Muscle Protein Metabolism Signaling Induced by Glutamine Supplementation and Exercise. Nutrients. 15(22). 4711–4711. 7 indexed citations
2.
Tsitkanou, Stavroula, Paul A. Della Gatta, Gavin Abbott, et al.. (2021). miR-23a suppression accelerates functional decline in the rNLS8 mouse model of TDP-43 proteinopathy. Neurobiology of Disease. 162. 105559–105559. 4 indexed citations
3.
Gerlinger‐Romero, Frederico, Richard M. Lovering, Victoria C. Foletta, et al.. (2019). Non-invasive Assessment of Dorsiflexor Muscle Function in Mice. Journal of Visualized Experiments. 3 indexed citations
4.
Gerlinger‐Romero, Frederico, Richard M. Lovering, Victoria C. Foletta, et al.. (2019). Non-invasive Assessment of Dorsiflexor Muscle Function in Mice. Journal of Visualized Experiments. 9 indexed citations
5.
Esteves, João Victor Del Conti, et al.. (2018). Diabetes Modulates MicroRNAs 29b-3p, 29c-3p, 199a-5p and 532-3p Expression in Muscle: Possible Role in GLUT4 and HK2 Repression. Frontiers in Endocrinology. 9. 536–536. 43 indexed citations
6.
8.
Gerlinger‐Romero, Frederico, et al.. (2017). Exercise training reverses the negative effects of chronic L-arginine supplementation on insulin sensitivity. Life Sciences. 191. 17–23. 8 indexed citations
9.
Lamon, Séverine, Evelyn Zacharewicz, Emily Arentson‐Lantz, et al.. (2016). Erythropoietin Does Not Enhance Skeletal Muscle Protein Synthesis Following Exercise in Young and Older Adults. Frontiers in Physiology. 7. 292–292. 7 indexed citations
10.
Gerlinger‐Romero, Frederico, et al.. (2016). Dysregulation between TRIM63/FBXO32 expression and soleus muscle wasting in diabetic rats: potential role of miR-1-3p, -29a/b-3p, and -133a/b-3p. Molecular and Cellular Biochemistry. 427(1-2). 187–199. 19 indexed citations
11.
Zanchi, Nelo Eidy, et al.. (2015). Effects of acute caffeine ingestion on resistance training performance and perceptual responses during repeated sets to failure.. PubMed. 55(5). 383–9. 24 indexed citations
12.
Yonamine, Caio Yogi, et al.. (2014). Beta hydroxy beta methylbutyrate supplementation impairs peripheral insulin sensitivity in healthy sedentary Wistar rats. Acta Physiologica. 212(1). 62–74. 25 indexed citations
13.
Gerlinger‐Romero, Frederico, et al.. (2014). Bases moleculares das ações da testosterona, hormônio do crescimento e IGF-1 sobre a hipertrofia muscular esquelética e respostas ao treinamento de força. 12(2). 187–208. 1 indexed citations
14.
Guimarães‐Ferreira, Lucas, Carlos Hermano J. Pinheiro, Frederico Gerlinger‐Romero, et al.. (2012). Short-term creatine supplementation decreases reactive oxygen species content with no changes in expression and activity of antioxidant enzymes in skeletal muscle. European Journal of Applied Physiology. 112(11). 3905–3911. 44 indexed citations
15.
Gerlinger‐Romero, Frederico, Lucas Guimarães‐Ferreira, Gisele Giannocco, & Maria Tereza Nunes. (2011). Chronic supplementation of beta-hydroxy-beta methylbutyrate (HMβ) increases the activity of the GH/IGF-I axis and induces hyperinsulinemia in rats. Growth Hormone & IGF Research. 21(2). 57–62. 61 indexed citations
16.
Pinheiro, Carlos Hermano da Justa, Frederico Gerlinger‐Romero, Lucas Guimarães‐Ferreira, et al.. (2011). Metabolic and functional effects of beta-hydroxy-beta-methylbutyrate (HMB) supplementation in skeletal muscle. European Journal of Applied Physiology. 112(7). 2531–2537. 49 indexed citations
17.
Zanchi, Nelo Eidy, Frederico Gerlinger‐Romero, Lucas Guimarães‐Ferreira, et al.. (2010). HMB supplementation: clinical and athletic performance-related effects and mechanisms of action. Amino Acids. 40(4). 1015–1025. 99 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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