Emma Barroso

65 papers receiving 3.5k citations

Emma Barroso's Hit Papers

Palmitic and Oleic Acid: The Yin and Yang of Fatty Acids in Type 2 Diabetes Mellitus 2017 · 416 citations
4160+3+6Years since publication100200300400

Peers

Emma Barroso
Comparison fields: 5 of 106
  • Geriatrics and Gerontology 149
  • Physiology 996
  • Biological Psychiatry 70
  • Biochemistry 183
  • Epidemiology 748
Replace Tae Woo Jung with:
Tae Woo Jung South Korea
Dae Hyun Kim South Korea
Xavier Palomer Spain
Rebecca J. Ford Canada
Ping Song China
Weili Shen China
Brijesh Kumar Singh Singapore
Ethan J. Anderson United States
Chi Wai Lau Hong Kong
Xiuqing Huang China
Emma Barroso relative to Tae Woo Jung South Korea Tae Woo Jung's profile →
Citations per field
00.5×1.5×2.2×
Tae Woo Jung · 1×
Citations per year

Countries citing papers authored by Emma Barroso

Since Specialization
Citations

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

Fields of papers citing papers by Emma Barroso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma Barroso, 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 Emma Barroso Line = papers co-authored together Emma Barroso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Palmitic and Oleic Acid: The Yin and Yang of Fatty Acids in Type 2 Diabetes Mellitus
Hit paper breakdown →
2017416
2 2019258
3 2013244
4 2015186
5 2013175
6 2014174
7 2020140
8 2011135
9 2015134
10 201795
11 201489
12 201887
13 202178
14 201077
15 202076
16 201172
17 201067
18 201458
19 200957
20 200855

About Emma Barroso

Emma Barroso is a scholar working on Molecular Biology, Physiology, Epidemiology, Rheumatology and Surgery, having authored 67 papers that have together received 3.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (23 papers), Adipose Tissue and Metabolism (11 papers), Metabolism, Diabetes, and Cancer (9 papers), GDF15 and Related Biomarkers (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Nuclear Receptors and Signaling (5 papers), Nutrition and Health in Aging (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Geriatrics and Gerontology (149 citations), Physiology (996 citations), Biological Psychiatry (70 citations), Biochemistry (183 citations) and Epidemiology (748 citations). Emma Barroso has collaborated with scholars based in Spain, Switzerland and France. Frequent co-authors include Manuel Vázquez‐Carrera, Xavier Palomer, Laia Salvadó, Javier Pizarro‐Delgado, Walter Wahli, Teresa Coll, Antoni Camins, Ricardo Rodríguez‐Calvo, Jaume Folch and Mohammad Zarei. Their work appears in journals such as Diabetologia, International Journal of Molecular Sciences, Trends in Endocrinology and Metabolism, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Cell Communication and Signaling.

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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