Silvia Moreno-Fernández

540 citations
19 papers · 420 indexed · h-index 11
Topics
Biochemical effects in animals (4 papers)Diet, Metabolism, and Disease (3 papers)Adipose Tissue and Metabolism (3 papers)
Partner nations
SpainArgentinaBrazil

In The Last Decade

Silvia Moreno-Fernández

19 papers receiving 411 citations

Peers

Silvia Moreno-Fernández
Comparison fields: 5 of 94
  • Molecular Biology 148
  • Physiology 127
  • Food Science 74
  • Endocrinology, Diabetes and Metabolism 67
  • Nutrition and Dietetics 63
Replace Yoshifumi Oshima with:
Yoshifumi Oshima Japan
Zoi Skaperda Greece
Pascale Fança‐Berthon France
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Mayuko Morita Japan
Youn-Soo Cha South Korea
Baodong Zheng China
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Silvia Moreno-Fernández relative to Yoshifumi Oshima Japan Yoshifumi Oshima's profile →
Citations per field
00.5×1.5×2.5×
Yoshifumi Oshima · 1×
Citations per year

Countries citing papers authored by Silvia Moreno-Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Moreno-Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Moreno-Fernández. 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 Silvia Moreno-Fernández. The network helps show where Silvia Moreno-Fernández may publish in the future.

Co-authorship network of co-authors of Silvia Moreno-Fernández

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 30
2 9
3 6
4 33
5 36
6 3
7 26
8 11
9 9
10 21
11 1
12
Egg white hydrolysate reduces oxidative stress and adiposity in high-fat/high-glucose diet induced obesity rats
1
13 165
14 22
15 20
16 13
17 3
18
[New indication for adenoidectomy-tonsillectomy in children: elimination of obstruction in obstructive sleep apnea syndrome].
1
19 10

About Silvia Moreno-Fernández

Silvia Moreno-Fernández is a scholar working on Biochemistry, Physiology and Nutrition and Dietetics, having authored 19 papers that have together received 420 indexed citations. Recurring topics across this work include Biochemical effects in animals (4 papers), Diet, Metabolism, and Disease (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biochemistry (43 citations), Physiology (127 citations) and Food Science (74 citations). Silvia Moreno-Fernández has collaborated with scholars based in Spain, Argentina and Brazil. Frequent co-authors include Marta Miguel, Marta Garcés‐Rimón, Gema Vera, Jean‐François Landrier, Julien Astier, Rosario González‐Muñiz, José Antonio Uranga, Marín Pródanov, Adolfo J. Martínez-Rodríguez and José Manuel Silván. Their work appears in journals such as Brain Research, Trends in Food Science & Technology and Nutrients.

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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