Bé Wieringa
- Cellular and Molecular Neuroscience top 0.2%
- Genetic Neurodegenerative Diseases 60
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 36
- Muscle Physiology and Disorders 30
- Ion channel regulation and function 16
- Protein Tyrosine Phosphatases 13
- Fungal and yeast genetics research 12
- Neurology top 0.5%
- Cell Biology top 0.5%
- Muscle metabolism and nutrition 24
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- Cardiomyopathy and Myosin Studies 20
- Co-authors
- Gerard J.M. MartensHelena XicoyFrank OerlemansRobert G. KornelukGert JansenWiljan HendriksJack FransenBernard A. van Oost
- Journals
- Journal of Biological Chemistry (14 papers)Nucleic Acids Research (14 papers)Genomics (13 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Bé Wieringa
193 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cellular and Molecular Neuroscience 4.9k
- Molecular Biology 9.3k
- Neurology 1.6k
- Cell Biology 1.7k
- Cardiology and Cardiovascular Medicine 1.4k
Countries citing papers authored by Bé Wieringa
This map shows the geographic impact of Bé Wieringa'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 Bé Wieringa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bé Wieringa more than expected).
Fields of papers citing papers by Bé Wieringa
This network shows the impact of papers produced by Bé Wieringa. 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 Bé Wieringa. The network helps show where Bé Wieringa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bé Wieringa, 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 | 2019 | 12 | |
| 2 | 2013 | 36 | |
| 3 | 2012 | 176 | |
| 4 | 2012 | 11 | |
| 5 | 2012 | 57 | |
| 6 | 2009 | 204 | |
| 7 | 2007 | 15 | |
| 8 | 2007 | 62 | |
| 9 | 2004 | 47 | |
| 10 | 2003 | 26 | |
| 11 | 2003 | 23 | |
| 12 | 1998 | 60 | |
| 13 | 1997 | 57 | |
| 14 | 1997 | 114 | |
| 15 | 1996 | 250 | |
| 16 | 1995 | 40 | |
| 17 | 1994 | 7 | |
| 18 | 1991 | 20 | |
| 19 | 1989 | 13 | |
| 20 | 1989 | 67 |
About Bé Wieringa
Bé Wieringa is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 193 papers that have together received 12.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (60 papers), Mitochondrial Function and Pathology (36 papers), Muscle Physiology and Disorders (30 papers), Muscle metabolism and nutrition (24 papers), Cardiomyopathy and Myosin Studies (20 papers), Ion channel regulation and function (16 papers), Protein Tyrosine Phosphatases (13 papers) and Fungal and yeast genetics research (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.9k citations), Molecular Biology (9.3k citations), Neurology (1.6k citations), Cell Biology (1.7k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Bé Wieringa has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerard J.M. Martens, Helena Xicoy, Frank Oerlemans, Robert G. Korneluk, Gert Jansen, Wiljan Hendriks, Jack Fransen, Bernard A. van Oost, Mani S. Mahadevan and Chris T. Amemiya. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Genomics, Human Molecular Genetics and Human Genetics.
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.