Peter Witters
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Genetics 13
- Genomics and Rare Diseases 4
- Co-authors
- David Cassiman (25 shared papers)Éva Morava (18 shared papers)Frederik Nevens (8 shared papers)Chris Verslype (5 shared papers)Jaak Jaeken (8 shared papers)Tamás Kozicz (3 shared papers)K. De Boeck (6 shared papers)Marc Hoylaerts (4 shared papers)
- Journals
- Journal of Cystic Fibrosis (7 papers)Molecular Genetics and Metabolism (6 papers)Genetics in Medicine (5 papers)Journal of Inherited Metabolic Disease (4 papers)Journal of Pediatric Gastroenterology and Nutrition (3 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Peter Witters
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Hepatology 171
- Clinical Biochemistry 119
- Genetics 245
- Psychiatry and Mental health 107
- Molecular Biology 525
Countries citing papers authored by Peter Witters
This map shows the geographic impact of Peter Witters'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 Peter Witters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Witters more than expected).
Fields of papers citing papers by Peter Witters
This network shows the impact of papers produced by Peter Witters. 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 Peter Witters. The network helps show where Peter Witters may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Witters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 134 | |
| 2 | 2017 | 83 | |
| 3 | 2017 | 77 | |
| 4 | 2019 | 75 | |
| 5 | 2007 | 75 | |
| 6 | 2007 | 72 | |
| 7 | 2017 | 71 | |
| 8 | 2009 | 67 | |
| 9 | 2016 | 64 | |
| 10 | 2020 | 59 | |
| 11 | 2017 | 57 | |
| 12 | 2017 | 55 | |
| 13 | 2018 | 42 | |
| 14 | 2017 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2022 | 32 | |
| 17 | 2017 | 31 | |
| 18 | 2004 | 30 | |
| 19 | 2010 | 29 | |
| 20 | 2022 | 27 |
About Peter Witters
Peter Witters is a scholar working on Molecular Biology, Genetics, Physiology, Rheumatology and Surgery, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Lysosomal Storage Disorders Research (9 papers), Metabolism and Genetic Disorders (7 papers), Cystic Fibrosis Research Advances (7 papers), Liver Disease and Transplantation (6 papers), Biomedical Research and Pathophysiology (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Hepatology (171 citations), Clinical Biochemistry (119 citations), Genetics (245 citations), Psychiatry and Mental health (107 citations) and Molecular Biology (525 citations). Peter Witters has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include David Cassiman, Éva Morava, Frederik Nevens, Chris Verslype, Jaak Jaeken, Tamás Kozicz, K. De Boeck, Marc Hoylaerts, Chris Van Geet and Kathleen Freson. Their work appears in journals such as Journal of Cystic Fibrosis, Molecular Genetics and Metabolism, Genetics in Medicine, Journal of Inherited Metabolic Disease and Journal of Pediatric Gastroenterology and Nutrition.
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.