Raquel Ferrer‐Lorente
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Adipose Tissue and Metabolism
Papers in
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- Adipose Tissue and Metabolism 6
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- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 3
- Co-authors
- Lina Badimón (6 shared papers)Ángel Raya (4 shared papers)Gemma Vilahur (3 shared papers)José–Antonio Fernández–Löpez (11 shared papers)Carlos López‐García (1 shared paper)Josema Torres (1 shared paper)Roque Bort (1 shared paper)Xavier Ponsoda (1 shared paper)
In The Last Decade
Raquel Ferrer‐Lorente
22 papers receiving 673 citations
Peers
Comparison fields: 5 of 83
- Genetics 121
- Physiology 171
- Cancer Research 99
- Endocrine and Autonomic Systems 37
- Molecular Biology 370
Countries citing papers authored by Raquel Ferrer‐Lorente
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 224 | |
| 2 | 2012 | 106 | |
| 3 | 2018 | 64 | |
| 4 | 2013 | 57 | |
| 5 | 2012 | 34 | |
| 6 | 2005 | 28 | |
| 7 | 2014 | 25 | |
| 8 | 2005 | 16 | |
| 9 | 2014 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2005 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2004 | 13 | |
| 14 | 2006 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2005 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2007 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2004 | 5 |
About Raquel Ferrer‐Lorente
Raquel Ferrer‐Lorente is a scholar working on Physiology, Molecular Biology, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 22 papers that have together received 684 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Mesenchymal stem cell research (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), MicroRNA in disease regulation (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Genetics (121 citations), Physiology (171 citations), Cancer Research (99 citations), Endocrine and Autonomic Systems (37 citations) and Molecular Biology (370 citations). Raquel Ferrer‐Lorente has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Lina Badimón, Ángel Raya, Gemma Vilahur, José–Antonio Fernández–Löpez, Carlos López‐García, Josema Torres, Roque Bort, Xavier Ponsoda, Javier Prieto and Marian León. Their work appears in journals such as Steroids, The FASEB Journal, Naunyn-Schmiedeberg s Archives of Pharmacology, Nutrition & Metabolism and Nature Communications.
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.