Lídia Cedó

2.4k citations
50 papers · 1.6k · h-index 26

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 7
    • Metabolism, Diabetes, and Cancer 6
    • Cholesterol and Lipid Metabolism 10
    • Pancreatic function and diabetes 7

Lídia Cedó

49 papers receiving 1.5k citations

Peers

Lídia Cedó
Comparison fields: 5 of 102
  • Biochemistry 152
  • Cancer Research 225
  • Endocrinology, Diabetes and Metabolism 192
  • Biological Psychiatry 24
  • Physiology 228
Replace Makoto Ayaori with:
Makoto Ayaori Japan
Mun-Ock Kim South Korea
Susanne Zadelaar Netherlands
Yujing Xia China
Hui Chang China
Ilaria Zanotti Italy
Ajoe John Kattoor United States
Camelia S. Stancu Romania
Hongzhong Li China
Jennifer M. Thomas‐Ahner United States
Lídia Cedó relative to Makoto Ayaori Japan Makoto Ayaori's profile →
Citations per field
00.5×
Makoto Ayaori · 1×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018153
2 2019114
3 201795
4 202290
5 201481
6 201359
7 202052
8 201849
9 201947
10 201245
11 201244
12 201239
13 202038
14 201737
15 201136
16 201235
17 201235
18 201934
19 201233
20 201633

About Lídia Cedó

Lídia Cedó is a scholar working on Molecular Biology, Surgery, Physiology, Epidemiology and Oncology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Adipose Tissue and Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Pancreatic function and diabetes (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Biochemistry (152 citations), Cancer Research (225 citations), Endocrinology, Diabetes and Metabolism (192 citations), Biological Psychiatry (24 citations) and Physiology (228 citations). Lídia Cedó has collaborated with scholars based in Spain, Finland and United States. 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 The Journal of Nutritional Biochemistry, Molecular Nutrition & Food Research, PLoS ONE, Atherosclerosis and British Journal Of Nutrition.

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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