Eva Santermans
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
- Occupational and environmental lung diseases 3
- Pleural and Pulmonary Diseases 2
-
- COVID-19 epidemiological studies 6
- Co-authors
- Niel Hens (15 shared papers)Philippe Beutels (5 shared papers)Jonas R.M. Van Audenaerde (2 shared papers)Elly Marcq (2 shared papers)Evelien Smits (2 shared papers)Jan P. van Meerbeeck (2 shared papers)Patrick Pauwels (2 shared papers)Jorrit De Waele (2 shared papers)
- Journals
- Cell Transplantation (2 papers)Epidemics (2 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)NMR in Biomedicine (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Eva Santermans
26 papers receiving 487 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 118
- Developmental Neuroscience 45
- Neurology 61
- Health 36
- Pulmonary and Respiratory Medicine 126
Countries citing papers authored by Eva Santermans
This map shows the geographic impact of Eva Santermans'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 Eva Santermans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Santermans more than expected).
Fields of papers citing papers by Eva Santermans
This network shows the impact of papers produced by Eva Santermans. 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 Eva Santermans. The network helps show where Eva Santermans may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Santermans, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2021 | 50 | |
| 3 | 2017 | 45 | |
| 4 | 2016 | 36 | |
| 5 | 2016 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2016 | 31 | |
| 8 | 2022 | 27 | |
| 9 | 2014 | 26 | |
| 10 | 2015 | 25 | |
| 11 | 2015 | 21 | |
| 12 | 2015 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2019 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2019 | 5 |
About Eva Santermans
Eva Santermans is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Developmental Neuroscience, Molecular Biology and Genetics, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Mesenchymal stem cell research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Occupational and environmental lung diseases (3 papers), Pleural and Pulmonary Diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Modeling and Simulation (118 citations), Developmental Neuroscience (45 citations), Neurology (61 citations), Health (36 citations) and Pulmonary and Respiratory Medicine (126 citations). Eva Santermans has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Niel Hens, Philippe Beutels, Jonas R.M. Van Audenaerde, Elly Marcq, Evelien Smits, Jan P. van Meerbeeck, Patrick Pauwels, Jorrit De Waele, Christel Faes and Herman Goossens. Their work appears in journals such as Cell Transplantation, Epidemics, Proceedings of the Royal Society B Biological Sciences, NMR in Biomedicine and Mathematical Biosciences.
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.