Bernat Baeza-Raja

2.5k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Bernat Baeza-Raja is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Bernat Baeza-Raja has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Endocrine and Autonomic Systems and 3 papers in Epidemiology. Recurrent topics in Bernat Baeza-Raja's work include Muscle Physiology and Disorders (4 papers), Liver Disease Diagnosis and Treatment (2 papers) and Nerve injury and regeneration (2 papers). Bernat Baeza-Raja is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Liver Disease Diagnosis and Treatment (2 papers) and Nerve injury and regeneration (2 papers). Bernat Baeza-Raja collaborates with scholars based in United States, United Kingdom and Spain. Bernat Baeza-Raja's co-authors include Pura Muñoz‐Cánoves, Mercè Jardı́, Antonio L. Serrano, Eusebio Perdiguero, Katerina Akassoglou, Vanessa Ruiz‐Bonilla, Eirini Vagena, Jae Kyu Ryu, Miles D. Houslay and Esteban Ballestar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Bernat Baeza-Raja

15 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interleukin-6 Is an Essential Regulator of Satellite Cell-Mediated Skeletal Muscle Hypertrophy

2008 653 citations Antonio L. Serrano, Bernat Baeza-Raja et al. Cell Metabolism profile →

Peers

Bernat Baeza-Raja

PHYSI

REHAB

SURGE

Jill A. Rafael‐Fortney United States

Laura Barberi Italy

Étienne Mouisel France

Emidio E. Pistilli United States

Marta Dossena Italy

Gérald Hugon France

Cathy M. Gurley United States

Giorgia Pallafacchina Italy

Vanessa Ruiz‐Bonilla Spain

Danielle Tenen United States

Jill A. Rafael‐Fortney United States

Bernat Baeza-Raja

1.7k ×1.6

525 ×0.9

PHYSI

334 ×0.8

REHAB

214 ×0.8

158 ×0.8

SURGE

Citations per year, relative to Bernat Baeza-Raja Bernat Baeza-Raja (= 1×) peers Jill A. Rafael‐Fortney

Countries citing papers authored by Bernat Baeza-Raja

Since Specialization

Citations

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

Fields of papers citing papers by Bernat Baeza-Raja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernat Baeza-Raja. 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 Bernat Baeza-Raja. The network helps show where Bernat Baeza-Raja may publish in the future.

Co-authorship network of co-authors of Bernat Baeza-Raja

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

All Works

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15 of 15 papers shown

Sözmen, Elif G., et al.. (2021). In vivo functions of p75NTR: challenges and opportunities for an emerging therapeutic target. Trends in Pharmacological Sciences. 42(9). 772–788. 39 indexed citations

Baeza-Raja, Bernat, Andrew Goodyear, Xiao Liu, et al.. (2020). Pharmacological inhibition of P2RX7 ameliorates liver injury by reducing inflammation and fibrosis. PLoS ONE. 15(6). e0234038–e0234038. 40 indexed citations

Vagena, Eirini, Jae Kyu Ryu, Bernat Baeza-Raja, et al.. (2019). A high-fat diet promotes depression-like behavior in mice by suppressing hypothalamic PKA signaling. Translational Psychiatry. 9(1). 141–141. 90 indexed citations

Vagena, Eirini, Jae Kyu Ryu, Bernat Baeza-Raja, et al.. (2018). A High-fat Diet Promotes Depression-like Behavior in Mice by Suppressing Hypothalamic PKA Signaling. SSRN Electronic Journal. 2 indexed citations

Dabbagh, Karim, et al.. (2018). Preclinical and first-in human development of SGM-1019, a first-in-class novel small molecule modulator of inflammasome activity for the treatment of nonalcoholic steatohepatitis (NASH). Journal of Hepatology. 68. S60–S60. 9 indexed citations

Czirr, Eva, Nicholas A. Castello, Kira I. Mosher, et al.. (2017). Microglial complement receptor 3 regulates brain Aβ levels through secreted proteolytic activity. The Journal of Experimental Medicine. 214(4). 1081–1092. 101 indexed citations

Baeza-Raja, Bernat, Benjamin D. Sachs, Pingping Li, et al.. (2015). p75 Neurotrophin Receptor Regulates Energy Balance in Obesity. Cell Reports. 14(2). 255–268. 34 indexed citations

Schachtrup, Christian, Jae Kyu Ryu, Md. Abdullah Saeed Khan, et al.. (2015). Nuclear pore complex remodeling by p75NTR cleavage controls TGF-β signaling and astrocyte functions. Nature Neuroscience. 18(8). 1077–1080. 32 indexed citations

Baeza-Raja, Bernat, Kristin Eckel‐Mahan, Li Zhang, et al.. (2013). p75 Neurotrophin Receptor Is a Clock Gene That Regulates Oscillatory Components of Circadian and Metabolic Networks. Journal of Neuroscience. 33(25). 10221–10234. 33 indexed citations

10.

Baeza-Raja, Bernat, Pingping Li, Natacha Le Moan, et al.. (2012). p75 neurotrophin receptor regulates glucose homeostasis and insulin sensitivity. Proceedings of the National Academy of Sciences. 109(15). 5838–5843. 39 indexed citations

11.

Gut, Philipp, Bernat Baeza-Raja, Olov Andersson, et al.. (2012). Whole-organism screening for gluconeogenesis identifies activators of fasting metabolism. Nature Chemical Biology. 9(2). 97–104. 141 indexed citations

12.

Serrano, Antonio L., Bernat Baeza-Raja, Eusebio Perdiguero, Mercè Jardı́, & Pura Muñoz‐Cánoves. (2008). Interleukin-6 Is an Essential Regulator of Satellite Cell-Mediated Skeletal Muscle Hypertrophy. Cell Metabolism. 7(1). 33–44. 653 indexed citations breakdown →

13.

Vidal, Berta, Antonio L. Serrano, Marc Tjwa, et al.. (2008). Fibrinogen drives dystrophic muscle fibrosis via a TGFβ/alternative macrophage activation pathway. Genes & Development. 22(13). 1747–1752. 199 indexed citations

14.

Perdiguero, Eusebio, Vanessa Ruiz‐Bonilla, Lionel Gresh, et al.. (2007). Genetic analysis of p38 MAP kinases in myogenesis: fundamental role of p38α in abrogating myoblast proliferation. The EMBO Journal. 26(5). 1245–1256. 204 indexed citations

15.

Baeza-Raja, Bernat & Pura Muñoz‐Cánoves. (2004). p38 MAPK-induced Nuclear Factor-κB Activity Is Required for Skeletal Muscle Differentiation: Role of Interleukin-6. Molecular Biology of the Cell. 15(4). 2013–2026. 209 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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