Peter Witters
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
- Genetics 22
- Genomics and Rare Diseases 8
- Rheumatology 13
- Glycogen Storage Diseases and Myoclonus 8
- Co-authors
- David M Cassiman (29 shared papers)Eva Morava (22 shared papers)Frederik Nevens (9 shared papers)Chris Verslype (5 shared papers)Jaak Jaeken (10 shared papers)K. De Boeck (7 shared papers)Tamas Kozicz (3 shared papers)Kathleen Freson (4 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (10 papers)Molecular Genetics and Metabolism (8 papers)Journal of Cystic Fibrosis (7 papers)Genetics in Medicine (6 papers)Orphanet Journal of Rare Diseases (5 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Peter Witters
88 papers receiving 2.5k citations
Peter Witters's Hit Papers
Peers
Comparison fields: 5 of 105
- Hepatology 287
- Clinical Biochemistry 184
- Genetics 423
- Molecular Biology 922
- Pulmonary and Respiratory Medicine 380
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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 141 | |
| 2 | Worldwide experience of homozygous familial hypercholesterolaemia: retrospective cohort study Hit paper breakdown → | 2022 | 141 |
| 3 | 2019 | 113 | |
| 4 | 2019 | 98 | |
| 5 | 2017 | 89 | |
| 6 | 2017 | 86 | |
| 7 | 2019 | 85 | |
| 8 | 2007 | 77 | |
| 9 | 2007 | 73 | |
| 10 | 2017 | 73 | |
| 11 | 2009 | 70 | |
| 12 | 2019 | 68 | |
| 13 | 2016 | 67 | |
| 14 | 2017 | 63 | |
| 15 | 2020 | 63 | |
| 16 | 2017 | 62 | |
| 17 | 2017 | 57 | |
| 18 | 2018 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2011 | 43 |
About Peter Witters
Peter Witters is a scholar working on Genetics, Rheumatology, Clinical Biochemistry, Hepatology and Molecular Biology, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Lysosomal Storage Disorders Research (12 papers), Cystic Fibrosis Research Advances (11 papers), Metabolism and Genetic Disorders (9 papers), Genomics and Rare Diseases (8 papers), Glycogen Storage Diseases and Myoclonus (8 papers), Liver Disease and Transplantation (8 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Hepatology (287 citations), Clinical Biochemistry (184 citations), Genetics (423 citations), Molecular Biology (922 citations) and Pulmonary and Respiratory Medicine (380 citations). Peter Witters has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include David M Cassiman, Eva Morava, Frederik Nevens, Chris Verslype, Jaak Jaeken, K. De Boeck, Tamas Kozicz, Kathleen Freson, Chris Van Geet and Marc Hoylaerts. Their work appears in journals such as Journal of Inherited Metabolic Disease, Molecular Genetics and Metabolism, Journal of Cystic Fibrosis, Genetics in Medicine and Orphanet Journal of Rare 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.