Anna Seriola
Impact in
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- Genetic Neurodegenerative Diseases
- Axon Guidance and Neuronal Signaling
- Biophysics top 10%
Papers in
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- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 2
- Chemical Synthesis and Analysis 1
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- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Anna Veiga (6 shared papers)Samuel Ojosnegros (6 shared papers)Karen Sermon (2 shared papers)Claudia Spits (2 shared papers)Patrick Haentjens (1 shared paper)Pierre Hilven (1 shared paper)Christopher E. Pearson (1 shared paper)Jodie P. Simard (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Fertility and Sterility (1 paper)Molecular Human Reproduction (1 paper)Human Molecular Genetics (1 paper)Science Advances (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Anna Seriola
12 papers receiving 338 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 94
- Biophysics 26
- Reproductive Medicine 35
- Molecular Biology 250
- Obstetrics and Gynecology 21
Countries citing papers authored by Anna Seriola
This map shows the geographic impact of Anna Seriola'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 Anna Seriola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Seriola more than expected).
Fields of papers citing papers by Anna Seriola
This network shows the impact of papers produced by Anna Seriola. 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 Anna Seriola. The network helps show where Anna Seriola may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Seriola, 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 | 2010 | 70 | |
| 2 | 2020 | 65 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 42 | |
| 5 | 2019 | 31 | |
| 6 | 2016 | 30 | |
| 7 | 2017 | 26 | |
| 8 | 2016 | 19 | |
| 9 | 2014 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2007 | 1 |
About Anna Seriola
Anna Seriola is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Cell Biology and Physiology, having authored 12 papers that have together received 341 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Reproductive Biology and Fertility (3 papers), Reproductive System and Pregnancy (2 papers), CRISPR and Genetic Engineering (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Biomedical Ethics and Regulation (2 papers), Chemical Synthesis and Analysis (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (94 citations), Biophysics (26 citations), Reproductive Medicine (35 citations), Molecular Biology (250 citations) and Obstetrics and Gynecology (21 citations). Anna Seriola has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Anna Veiga, Samuel Ojosnegros, Karen Sermon, Claudia Spits, Patrick Haentjens, Pierre Hilven, Christopher E. Pearson, Jodie P. Simard, Elena Martínez and Ángel Raya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Fertility and Sterility, Molecular Human Reproduction, Human Molecular Genetics and Science Advances.
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.