Gerard Pardo

1.8k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Gerard Pardo is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Gerard Pardo has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Gerard Pardo's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Retinoids in leukemia and cellular processes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Gerard Pardo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Retinoids in leukemia and cellular processes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Gerard Pardo collaborates with scholars based in Spain, France and Czechia. Gerard Pardo's co-authors include Wifredo Ricart, José María Moreno‐Navarrete, José Manuel Fernández‐Real, Francisco Ortega, Marta Serrano, Francisco J. Tinahones, Mònica Sabater, Belén Peral, Anna Ferrer and Manuela Hummel and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Gerard Pardo

7 papers receiving 1.3k citations

Hit Papers

Irisin Is Expressed and Produced by Human Muscle and Adip... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerard Pardo Spain 7 877 579 441 256 149 7 1.3k
Steven T. Russell United Kingdom 24 1.1k 1.3× 962 1.7× 321 0.7× 137 0.5× 197 1.3× 34 1.9k
Eva Klimčáková France 27 1.3k 1.4× 645 1.1× 898 2.0× 233 0.9× 156 1.0× 37 2.1k
Meritxell Rosell Spain 8 705 0.8× 392 0.7× 410 0.9× 70 0.3× 123 0.8× 9 1.0k
Lenka Rossmeislová Czechia 19 851 1.0× 403 0.7× 409 0.9× 64 0.3× 68 0.5× 41 1.4k
Jennifer B. DelProposto United States 10 826 0.9× 383 0.7× 1.1k 2.4× 126 0.5× 59 0.4× 10 1.7k
Shahram Hedjazifar Sweden 16 961 1.1× 672 1.2× 755 1.7× 150 0.6× 54 0.4× 22 1.8k
Sheila R. Costford Canada 20 718 0.8× 555 1.0× 438 1.0× 47 0.2× 143 1.0× 25 1.3k
Silvia Gogg Sweden 13 935 1.1× 671 1.2× 738 1.7× 116 0.5× 34 0.2× 18 1.7k
Emilie Chanséaume France 12 910 1.0× 613 1.1× 295 0.7× 41 0.2× 72 0.5× 16 1.3k

Countries citing papers authored by Gerard Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Pardo

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

All Works

7 of 7 papers shown
1.
Moreno‐Navarrete, José María, Mònica Sabater, Miloš Mráz, et al.. (2013). Liver, but not adipose tissue PEDF gene expression is associated with insulin resistance. International Journal of Obesity. 37(9). 1230–1237. 21 indexed citations
2.
Moreno‐Navarrete, José María, Francisco Ortega, Marta Serrano, et al.. (2013). Irisin Is Expressed and Produced by Human Muscle and Adipose Tissue in Association With Obesity and Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 98(4). E769–E778. 654 indexed citations breakdown →
3.
Moreno‐Navarrete, José María, Francisco Ortega, Matteo Sérino, et al.. (2011). Circulating lipopolysaccharide-binding protein (LBP) as a marker of obesity-related insulin resistance. International Journal of Obesity. 36(11). 1442–1449. 175 indexed citations
4.
Ortega, Francisco, José María Moreno‐Navarrete, Gerard Pardo, et al.. (2010). MiRNA Expression Profile of Human Subcutaneous Adipose and during Adipocyte Differentiation. PLoS ONE. 5(2). e9022–e9022. 307 indexed citations
5.
Moreno‐Navarrete, José María, Francisco Ortega, Mònica Sabater, et al.. (2010). OCT1 Expression in Adipocytes Could Contribute to Increased Metformin Action in Obese Subjects. Diabetes. 60(1). 168–176. 80 indexed citations
6.
Sabater, Mònica, José María Moreno‐Navarrete, Francisco Ortega, et al.. (2010). Circulating Pigment Epithelium-Derived Factor Levels Are Associated with Insulin Resistance and Decrease after Weight Loss. The Journal of Clinical Endocrinology & Metabolism. 95(10). 4720–4728. 90 indexed citations
7.
Moreno‐Navarrete, José María, Patricia Botas, Sergio Valdés, et al.. (2009). Val1483Ile in FASN Gene Is Linked to Central Obesity and Insulin Sensitivity in Adult White Men. Obesity. 17(9). 1755–1761. 15 indexed citations

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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