Barbara Bernardo

1.2k total citations
9 papers, 658 citations indexed

About

Barbara Bernardo is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Barbara Bernardo has authored 9 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Barbara Bernardo's work include Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers) and Muscle Physiology and Disorders (4 papers). Barbara Bernardo is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers) and Muscle Physiology and Disorders (4 papers). Barbara Bernardo collaborates with scholars based in United States, France and Germany. Barbara Bernardo's co-authors include Nathan K. LeBrasseur, Patricia G. Cosgrove, Thomas A. Brown, Paula M. Loria, Saswata Talukdar, Yingjiang Zhou, Steven A. Kliewer, Bryan Goodwin, Christian P. Müller and Hao Tang and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

In The Last Decade

Barbara Bernardo

9 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Bernardo United States 8 494 279 98 92 51 9 658
Tingqing Guo United States 9 389 0.8× 334 1.2× 86 0.9× 111 1.2× 56 1.1× 10 573
Dmitry Akhmedov United States 12 385 0.8× 220 0.8× 64 0.7× 108 1.2× 47 0.9× 20 619
Anke van Spronsen Netherlands 5 266 0.5× 369 1.3× 78 0.8× 67 0.7× 31 0.6× 7 606
Gesa Santos Switzerland 11 390 0.8× 403 1.4× 77 0.8× 103 1.1× 43 0.8× 14 611
Peter K. Davidsen United Kingdom 8 310 0.6× 183 0.7× 36 0.4× 86 0.9× 66 1.3× 9 587
Carlo M. Malabanan United States 10 248 0.5× 235 0.8× 58 0.6× 68 0.7× 25 0.5× 10 436
Céline Chambon France 7 358 0.7× 276 1.0× 45 0.5× 127 1.4× 78 1.5× 7 579
Timo Kanzleiter Germany 12 244 0.5× 200 0.7× 70 0.7× 66 0.7× 63 1.2× 14 474
Lindsey C. Peed United States 8 276 0.6× 389 1.4× 184 1.9× 35 0.4× 32 0.6× 8 630
Igor L. Baptista Brazil 15 389 0.8× 218 0.8× 57 0.6× 186 2.0× 41 0.8× 27 598

Countries citing papers authored by Barbara Bernardo

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Bernardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Bernardo

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

All Works

9 of 9 papers shown
1.
Griffin, John D, Joanne Buxton, Jeffrey A. Culver, et al.. (2023). Hepatic Activin E mediates liver-adipose inter-organ communication, suppressing adipose lipolysis in response to elevated serum fatty acids. Molecular Metabolism. 78. 101830–101830. 14 indexed citations
2.
Bernardo, Barbara, Magalie Boucher, Christopher Houle, et al.. (2020). Characterization of cachexia in the human fibrosarcoma HT‐1080 mouse tumour model. Journal of Cachexia Sarcopenia and Muscle. 11(6). 1813–1829. 15 indexed citations
3.
Talukdar, Saswata, Bryn M. Owen, Parkyong Song, et al.. (2015). FGF21 Regulates Sweet and Alcohol Preference. Cell Metabolism. 23(2). 344–349. 240 indexed citations
5.
Bernardo, Barbara, Min Lü, Gautam Bandyopadhyay, et al.. (2015). FGF21 does not require interscapular brown adipose tissue and improves liver metabolic profile in animal models of obesity and insulin-resistance. Scientific Reports. 5(1). 11382–11382. 40 indexed citations
6.
Akasaki, Yuichi, Noriyuki Ouchi, Yasuhiro Izumiya, et al.. (2013). Glycolytic fast‐twitch muscle fiber restoration counters adverse age‐related changes in body composition and metabolism. Aging Cell. 13(1). 80–91. 74 indexed citations
7.
Bernardo, Barbara, Patricia G. Cosgrove, Max Kühn, et al.. (2010). Postnatal PPARδ Activation and Myostatin Inhibition Exert Distinct yet Complimentary Effects on the Metabolic Profile of Obese Insulin-Resistant Mice. PLoS ONE. 5(6). e11307–e11307. 57 indexed citations
8.
LeBrasseur, Nathan K., et al.. (2009). Myostatin Inhibition Enhances the Effects of Exercise on Performance and Metabolic Outcomes in Aged Mice. The Journals of Gerontology Series A. 64A(9). 940–948. 154 indexed citations
9.
LeBrasseur, Nathan K., et al.. (2009). Myostatin inhibition enhances the effects of exercise on performance and metabolic outcomes in aged mice. The FASEB Journal. 23(S1). 5 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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