Anne Biever
Impact in
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- Neuroscience and Neuropharmacology Research
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- RNA and protein synthesis mechanisms 6
- RNA Research and Splicing 4
- RNA regulation and disease 2
- Peroxisome Proliferator-Activated Receptors 1
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- Neuroscience and Neuropharmacology Research 3
- Genetic Neurodegenerative Diseases 2
- Co-authors
- Erin M. Schuman (4 shared papers)Emmanuel Valjent (8 shared papers)Caspar Glock (4 shared papers)Georgi Tushev (3 shared papers)Emma Puighermanal (7 shared papers)Marko Jovanović (1 shared paper)Giuseppe Gangarossa (4 shared papers)Paul Donlin-Asp (1 shared paper)
- Journals
- Frontiers in Molecular Neuroscience (3 papers)Nature Methods (1 paper)Journal of Alzheimer s Disease (1 paper)Alzheimer s & Dementia (1 paper)Frontiers in Behavioral Neuroscience (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Anne Biever
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 284
- Endocrine and Autonomic Systems 80
- Molecular Biology 683
- Aging 17
- Biological Psychiatry 21
Countries citing papers authored by Anne Biever
This map shows the geographic impact of Anne Biever'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 Anne Biever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Biever more than expected).
Fields of papers citing papers by Anne Biever
This network shows the impact of papers produced by Anne Biever. 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 Anne Biever. The network helps show where Anne Biever may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Biever, 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 | 2018 | 242 | |
| 2 | 2020 | 183 | |
| 3 | 2015 | 164 | |
| 4 | 2021 | 97 | |
| 5 | 2013 | 85 | |
| 6 | 2019 | 83 | |
| 7 | 2014 | 47 | |
| 8 | 2015 | 43 | |
| 9 | 2017 | 34 | |
| 10 | 2019 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2024 | 6 | |
| 14 | 2016 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2026 | 1 |
About Anne Biever
Anne Biever is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Endocrine and Autonomic Systems, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic Neurodegenerative Diseases (2 papers), RNA regulation and disease (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (284 citations), Endocrine and Autonomic Systems (80 citations), Molecular Biology (683 citations), Aging (17 citations) and Biological Psychiatry (21 citations). Anne Biever has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Erin M. Schuman, Emmanuel Valjent, Caspar Glock, Georgi Tushev, Emma Puighermanal, Marko Jovanović, Giuseppe Gangarossa, Paul Donlin-Asp, Elena Ciirdaeva and Tamas Dalmay. Their work appears in journals such as Frontiers in Molecular Neuroscience, Nature Methods, Journal of Alzheimer s Disease, Alzheimer s & Dementia and Frontiers in Behavioral Neuroscience.
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.