Sara Neyt
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
- Liver physiology and pathology
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- Drug Transport and Resistance Mechanisms
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 8
- Drug Transport and Resistance Mechanisms 6
- Peptidase Inhibition and Analysis 2
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- Radiopharmaceutical Chemistry and Applications 4
- Medical Imaging Techniques and Applications 3
- Co-authors
- Christian Vanhove (14 shared papers)Hans Van Vlierberghe (6 shared papers)Lindsey Devisscher (6 shared papers)Filip De Vos (10 shared papers)Anja Geerts (4 shared papers)Sander Lefere (4 shared papers)Jo Van Dorpe (1 shared paper)Christophe Casteleyn (2 shared papers)
In The Last Decade
Sara Neyt
18 papers receiving 267 citations
Peers
Comparison fields: 5 of 60
- Hepatology 65
- Oncology 103
- Radiology, Nuclear Medicine and Imaging 82
- Epidemiology 93
- Pharmacology 16
Countries citing papers authored by Sara Neyt
This map shows the geographic impact of Sara Neyt'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 Sara Neyt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Neyt more than expected).
Fields of papers citing papers by Sara Neyt
This network shows the impact of papers produced by Sara Neyt. 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 Sara Neyt. The network helps show where Sara Neyt may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Neyt, 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 | 101 | |
| 2 | 2020 | 54 | |
| 3 | 2013 | 27 | |
| 4 | 2018 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 15 | |
| 7 | 2020 | 10 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2025 | 2 | |
| 15 | Angiopoietin-2 as therapeutic target for pathological angiogenesis and inflammation in non-alcoholic steatohepatitis | 2018 | 2 |
| 16 | 2019 | 2 | |
| 17 | 2024 | 2 | |
| 18 | Evaluation of the PET-radioligand 11C DASB in dogs | 2014 | 1 |
About Sara Neyt
Sara Neyt is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 272 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Lipid metabolism and disorders (3 papers), Medical Imaging Techniques and Applications (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hepatology (65 citations), Oncology (103 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Epidemiology (93 citations) and Pharmacology (16 citations). Sara Neyt has collaborated with scholars based in Belgium, France and China. Frequent co-authors include Christian Vanhove, Hans Van Vlierberghe, Lindsey Devisscher, Filip De Vos, Anja Geerts, Sander Lefere, Jo Van Dorpe, Christophe Casteleyn, Bruno Lapauw and Charlotte Debbaut. Their work appears in journals such as PLoS ONE, Nuclear Medicine and Biology, Journal of Nuclear Medicine, EJNMMI Radiopharmacy and Chemistry and Biomedicine & Pharmacotherapy.
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.