Barbara Bernardo

1.3k citations
10 papers · 679 · h-index 8

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging

Papers in

    • Epigenetics and DNA Methylation 3
    • Muscle Physiology and Disorders 3
    • Fibroblast Growth Factor Research 3
    • Kruppel-like factors research 2
    • TGF-β signaling in diseases 1
    • Muscle metabolism and nutrition 3

Barbara Bernardo

9 papers receiving 667 citations

Peers

Barbara Bernardo
Comparison fields: 5 of 64
  • Physiology 254
  • Aging 15
  • Molecular Biology 473
  • Cell Biology 84
  • Endocrine and Autonomic Systems 32
Replace Tingqing Guo with:
Tingqing Guo United States
Dmitry Akhmedov United States
Jonathan J. Petrocelli United States
Justin J. Reid United States
Carlo M. Malabanan United States
Lindsey C. Peed United States
Igor L. Baptista Brazil
Linda M.‐D. Nguyen United States
Holly E. Bates Canada
Daniel Horrillo Spain
Barbara Bernardo relative to Tingqing Guo United States Tingqing Guo's profile →
Citations per field
00.5×1.5×1.9×
Tingqing Guo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Barbara Bernardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara Bernardo Line = papers co-authored together Barbara Bernardo links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2015252
2 2009157
3 201374
4 201560
5 201059
6 201541
7 202316
8 202015
9 20095
10 20260

About Barbara Bernardo

Barbara Bernardo is a scholar working on Molecular Biology, Cell Biology, Physiology, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 679 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers), Muscle metabolism and nutrition (3 papers), Muscle Physiology and Disorders (3 papers), Fibroblast Growth Factor Research (3 papers), Kruppel-like factors research (2 papers), TGF-β signaling in diseases (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Physiology (254 citations), Aging (15 citations), Molecular Biology (473 citations), Cell Biology (84 citations) and Endocrine and Autonomic Systems (32 citations). Barbara Bernardo has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Nathan K. LeBrasseur, Patricia G. Cosgrove, Paula M. Loria, Thomas A. Brown, Saswata Talukdar, Yingjiang Zhou, Christian P. Müller, Parkyong Song, Steven A. Kliewer and Bryan Goodwin. Their work appears in journals such as Molecular Metabolism, PLoS ONE, Cell Metabolism, Journal of Cachexia Sarcopenia and Muscle and Scientific Reports.

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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