Frank Baas
- Neurology top 0.2%
- Neurological diseases and metabolism 28
- Peripheral Neuropathies and Disorders 18
- Cellular and Molecular Neuroscience top 0.2%
- Hereditary Neurological Disorders 56
- Genetic Neurodegenerative Diseases 25
- Nerve injury and regeneration 17
- Neurology top 0.2%
- Neurological diseases and metabolism 28
- Peripheral Neuropathies and Disorders 18
- Oncology top 0.2%
- Drug Transport and Resistance Mechanisms 26
- Molecular Biology top 0.5%
- RNA modifications and cancer 30
- RNA Research and Splicing 25
- Co-authors
- Piet BorstMarcel KoolMarcel de HaasRik J. ScheperGeorge L. SchefferPieter A. BolhuisWiep ScheperMarianne de Visser
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Frank Baas
356 papers receiving 21.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Neurology 2.1k
- Cellular and Molecular Neuroscience 3.9k
- Neurology 3.2k
- Oncology 5.4k
- Molecular Biology 9.4k
Countries citing papers authored by Frank Baas
This map shows the geographic impact of Frank Baas'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 Frank Baas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Baas more than expected).
Fields of papers citing papers by Frank Baas
This network shows the impact of papers produced by Frank Baas. 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 Frank Baas. The network helps show where Frank Baas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Baas, 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 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 27 | |
| 10 | 2014 | 7 | |
| 11 | 2014 | 54 | |
| 12 | 2013 | 65 | |
| 13 | 2011 | 16 | |
| 14 | 2011 | 110 | |
| 15 | 2010 | 93 | |
| 16 | 2009 | 36 | |
| 17 | 2008 | 160 | |
| 18 | 2008 | 41 | |
| 19 | Analysis of expression of cMOAT (MRP2), MRP3, MRP4, and MRP5, homologues of the multidrug resistance-associated protein gene (MRP1), in human cancer cell lines.breakdown → | 1997 | 746 |
| 20 | 1995 | 19 |
About Frank Baas
Frank Baas is a scholar working on Cellular and Molecular Neuroscience, Neurology, Neurology, Genetics and Immunology, having authored 361 papers that have together received 21.7k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (56 papers), RNA modifications and cancer (30 papers), Neurological diseases and metabolism (28 papers), Drug Transport and Resistance Mechanisms (26 papers), RNA Research and Splicing (25 papers), Genetic Neurodegenerative Diseases (25 papers), Peripheral Neuropathies and Disorders (18 papers) and Nerve injury and regeneration (17 papers). The work is most often cited by research in Neurology (2.1k citations), Cellular and Molecular Neuroscience (3.9k citations), Neurology (3.2k citations), Oncology (5.4k citations) and Molecular Biology (9.4k citations). Frank Baas has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Piet Borst, Marcel Kool, Marcel de Haas, Rik J. Scheper, George L. Scheffer, Pieter A. Bolhuis, Wiep Scheper, Marianne de Visser, Antoine H. C. van Kampen and Jan J. M. de Vijlder. Their work appears in journals such as Human Molecular Genetics, PLoS ONE, Neurology, European Journal of Human Genetics and Annals of the Rheumatic Diseases.
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.