Raquel Ferrer‐Lorente

933 citations
22 papers · 710 · h-index 13

Impact in

Papers in

Raquel Ferrer‐Lorente

22 papers receiving 695 citations

Peers

Raquel Ferrer‐Lorente
Comparison fields: 5 of 80
  • Genetics 114
  • Cancer Research 95
  • Physiology 151
  • Aging 9
  • Molecular Biology 339
Replace Donna M. D’Souza with:
Donna M. D’Souza Canada
Marianna Santopaolo Italy
Shogo Wada United States
Zhongxiao Wang United States
Giulia Borghetti United States
Lucia Babini Italy
Catherine Ordener France
Huaxiang Liu China
Yaohui Nie United States
Scott D. Dufresne United States
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Citations per field
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Donna M. D’Souza · 1×
Citations per year

Countries citing papers authored by Raquel Ferrer‐Lorente

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Ferrer‐Lorente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel Ferrer‐Lorente. 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 Raquel Ferrer‐Lorente. The network helps show where Raquel Ferrer‐Lorente may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016231
2 2012111
3 201867
4 201358
5 201235
6 200529
7 201425
8 201417
9 200516
10 202116
11 202114
12 200414
13 200513
14 201611
15 200611
16 20058
17 20107
18 20106
19 20076
20 20045

About Raquel Ferrer‐Lorente

Raquel Ferrer‐Lorente is a scholar working on Physiology, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Epidemiology, having authored 22 papers that have together received 710 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Mesenchymal stem cell research (3 papers), CRISPR and Genetic Engineering (3 papers), Hormonal and reproductive studies (2 papers), Pluripotent Stem Cells Research (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Genetics (114 citations), Cancer Research (95 citations), Physiology (151 citations), Aging (9 citations) and Molecular Biology (339 citations). Raquel Ferrer‐Lorente has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Lina Badimón, Ángel Raya, Gemma Vilahur, Marian León, Carlos López‐García, José–Antonio Fernández–Löpez, Javier Prieto, Xavier Ponsoda, Ramón Sendra and Josema Torres. Their work appears in journals such as The FASEB Journal, Steroids, Nature Communications, Regulatory Peptides and Journal of Pharmacological Sciences.

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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