Silvia Lorente‐Cebrián
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Biochemistry 10
- Lipid metabolism and biosynthesis 9
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- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 6
- Co-authors
- J. Alfredo MartínézMaría J. Moreno‐AliagaNiklas MejhertMikael RydénMaría ZabalaSantiago Navas‐CarreteroAndré Gustavo Vasconcelos CostaIngrid Dahlman
In The Last Decade
Silvia Lorente‐Cebrián
49 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Physiology 914
- Cancer Research 507
- Nutrition and Dietetics 514
- Biochemistry 209
- Epidemiology 642
Countries citing papers authored by Silvia Lorente‐Cebrián
This map shows the geographic impact of Silvia Lorente‐Cebrián'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 Silvia Lorente‐Cebrián with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Lorente‐Cebrián more than expected).
Fields of papers citing papers by Silvia Lorente‐Cebrián
This network shows the impact of papers produced by Silvia Lorente‐Cebrián. 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 Silvia Lorente‐Cebrián. The network helps show where Silvia Lorente‐Cebrián may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Lorente‐Cebrián, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 69 | |
| 10 | 2021 | 66 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 16 | |
| 14 | 2017 | 62 | |
| 15 | 2014 | 83 | |
| 16 | 2013 | 316 | |
| 17 | 2011 | 69 | |
| 18 | 2011 | 28 | |
| 19 | 2011 | 23 | |
| 20 | 2006 | 47 |
About Silvia Lorente‐Cebrián
Silvia Lorente‐Cebrián is a scholar working on Biochemistry, Cancer Research, Physiology, Nutrition and Dietetics and Epidemiology, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (25 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers), MicroRNA in disease regulation (14 papers), Lipid metabolism and biosynthesis (9 papers), Fatty Acid Research and Health (8 papers), Cancer-related molecular mechanisms research (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Physiology (914 citations), Cancer Research (507 citations), Nutrition and Dietetics (514 citations), Biochemistry (209 citations) and Epidemiology (642 citations). Silvia Lorente‐Cebrián has collaborated with scholars based in Spain, Sweden and France. Frequent co-authors include J. Alfredo Martínéz, María J. Moreno‐Aliaga, Niklas Mejhert, Mikael Rydén, María Zabala, Santiago Navas‐Carretero, André Gustavo Vasconcelos Costa, Ingrid Dahlman, Peter Arner and Fermı́n I. Milagro. Their work appears in journals such as Journal of Physiology and Biochemistry, International Journal of Molecular Sciences, Diabetes, Proceedings of The Nutrition Society and Journal of Cellular Physiology.
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.