Isabel Lladó

61 papers receiving 1.5k citations

Peers

Isabel Lladó
Comparison fields: 5 of 87
  • Physiology 711
  • Endocrine and Autonomic Systems 154
  • Clinical Biochemistry 134
  • Epidemiology 404
  • Endocrinology, Diabetes and Metabolism 184
Replace Ana M. Proenza with:
Ana M. Proenza Spain
Nathan Qi United States
Nathalie Véga France
Daniela Gašperíková Slovakia
Xiao‐Qing Xiong China
Carrie E. McCurdy United States
Biljana Buzadžić Serbia
Gemma Solanes Spain
Hidemasa Hayashibe Japan
Jacques Robidoux United States
Isabel Lladó relative to Ana M. Proenza Spain Ana M. Proenza's profile →
Citations per field
00.5×1.5×
Ana M. Proenza · 1×
Citations per year

Countries citing papers authored by Isabel Lladó

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Lladó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 200870
3 201464
4 200464
5 201063
6 201458
7 200252
8 201550
9 199150
10 202048
11 200742
12 200742
13 201639
14 202137
15 200236
16 201235
17 200831
18 201131
19 201230
20 201229

About Isabel Lladó

Isabel Lladó is a scholar working on Physiology, Epidemiology, Molecular Biology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (37 papers), Adipokines, Inflammation, and Metabolic Diseases (18 papers), Paraoxonase enzyme and polymorphisms (7 papers), Muscle metabolism and nutrition (6 papers), Fatty Acid Research and Health (6 papers), Cardiovascular Disease and Adiposity (6 papers), Mitochondrial Function and Pathology (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Physiology (711 citations), Endocrine and Autonomic Systems (154 citations), Clinical Biochemistry (134 citations), Epidemiology (404 citations) and Endocrinology, Diabetes and Metabolism (184 citations). Isabel Lladó has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Magdalena Gianotti, Ana M. Proenza, Andreu Palou, Emilia Amengual-Cladera, Francisco García-Palmer, Pilar Roca, Marco Bauzá-Thorbrügge, Antoni Pons, Esperanza Pujol and Sergio Rodríguez‐Cuenca. Their work appears in journals such as Cellular Physiology and Biochemistry, The Journal of Nutritional Biochemistry, IUBMB Life, Free Radical Biology and Medicine and The Journal of Steroid Biochemistry and Molecular Biology.

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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