Cristina Sánchez–Fernández
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- Neuropeptides and Animal Physiology 12
- Physiology top 10%
- Pain Mechanisms and Treatments 6
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- Pharmacological Receptor Mechanisms and Effects 10
- Congenital heart defects research 7
- Receptor Mechanisms and Signaling 6
- Muscle Physiology and Disorders 4
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- Cardiac Fibrosis and Remodeling 4
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- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Enrique J. CobosJosé M. BaeyensJosé Manuel EntrenaFrancisco R. NietoMiguel Á. TejadaRafael González‐CanoCruz Miguel CendánÁngeles Montilla‐García
In The Last Decade
Cristina Sánchez–Fernández
32 papers receiving 793 citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 370
- Biological Psychiatry 26
- Physiology 240
- Molecular Biology 619
- Aging 9
Countries citing papers authored by Cristina Sánchez–Fernández
This map shows the geographic impact of Cristina Sánchez–Fernández'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 Cristina Sánchez–Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Sánchez–Fernández more than expected).
Fields of papers citing papers by Cristina Sánchez–Fernández
This network shows the impact of papers produced by Cristina Sánchez–Fernández. 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 Cristina Sánchez–Fernández. The network helps show where Cristina Sánchez–Fernández may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristina Sánchez–Fernández, 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 | 2023 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 26 | |
| 14 | 2016 | 22 | |
| 15 | 2014 | 53 | |
| 16 | 2013 | 64 | |
| 17 | 2013 | 70 | |
| 18 | 2012 | 6 | |
| 19 | 2011 | 7 | |
| 20 | 2004 | 21 |
About Cristina Sánchez–Fernández
Cristina Sánchez–Fernández is a scholar working on Cellular and Molecular Neuroscience, Developmental Biology and Molecular Biology, having authored 32 papers that have together received 806 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Pharmacological Receptor Mechanisms and Effects (10 papers), Congenital heart defects research (7 papers), Pain Mechanisms and Treatments (6 papers), Receptor Mechanisms and Signaling (6 papers), Muscle Physiology and Disorders (4 papers), Cardiac Fibrosis and Remodeling (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (370 citations), Biological Psychiatry (26 citations) and Physiology (240 citations). Cristina Sánchez–Fernández has collaborated with scholars based in Spain, Australia and Mexico. Frequent co-authors include Enrique J. Cobos, José M. Baeyens, José Manuel Entrena, Francisco R. Nieto, Miguel Á. Tejada, Rafael González‐Cano, Cruz Miguel Cendán, Ángeles Montilla‐García, Juan A. Montero and Carlos I. Lorda‐Diez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Molecular 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.