Lídia Cedó

2.5k citations
63 papers · 2.0k · h-index 28

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 13
    • Pancreatic function and diabetes 7
    • Adipose Tissue and Metabolism 10

Lídia Cedó

61 papers receiving 2.0k citations

Peers

Lídia Cedó
Comparison fields: 5 of 112
  • Biochemistry 168
  • Cancer Research 264
  • Endocrinology, Diabetes and Metabolism 247
  • Reproductive Medicine 122
  • Biological Psychiatry 27
Replace Ajoe John Kattoor with:
Ajoe John Kattoor United States
Sarita S. Gupta India
Tülay Akçay Türkiye
Josefa Girona Spain
Chia-Wen Tsai Taiwan
Kensuke Sakai Japan
Mingming Gao United States
Maria Teresa Vietri Italy
Fangfang Mo China
Mohamed M. Sayed‐Ahmed Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Lídia Cedó

Since Specialization
Citations

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

Fields of papers citing papers by Lídia Cedó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018162
2 2019119
3 2017117
4 201799
5 202298
6 201497
7 201359
8 201858
9 202057
10 202357
11 202053
12 201853
13 201951
14 201249
15 201247
16 202042
17 201241
18 201738
19 201238
20 201137

About Lídia Cedó

Lídia Cedó is a scholar working on Surgery, Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Biochemistry, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Adipose Tissue and Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Pancreatic function and diabetes (7 papers), Cancer, Lipids, and Metabolism (6 papers), Gut microbiota and health (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Biochemistry (168 citations), Cancer Research (264 citations), Endocrinology, Diabetes and Metabolism (247 citations), Reproductive Medicine (122 citations) and Biological Psychiatry (27 citations). Lídia Cedó has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Joan Carles Escolá‐Gil, Francisco Blanco‐Vaca, Montserrat Pinent, Anna Ardèvol, Mayte Blay, Anna Castell‐Auví, Víctor Pallarès, Josep Julve, Marta Farràs and Mireia Tondo. Their work appears in journals such as Molecular Nutrition & Food Research, Atherosclerosis, Fertility and Sterility, The Journal of Nutritional Biochemistry and EBioMedicine.

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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