Eva Santermans

836 citations
27 papers · 519 · h-index 13

Impact in

Papers in

Eva Santermans

27 papers receiving 512 citations

Peers

Eva Santermans
Comparison fields: 5 of 89
  • Modeling and Simulation 108
  • Developmental Neuroscience 38
  • Neurology 52
  • Pulmonary and Respiratory Medicine 129
  • Health 24
Replace Degang Wu with:
Degang Wu China
Zheng-Rong Tiger Li United States
Genay Pilarowski United States
Arik Horne Germany
Daniel Sánchez‐Taltavull Switzerland
Cinzia Cordioli Italy
Erin G. Conlon United States
Harper VanSteenhouse United Kingdom
Ilker Tunc United States
Yao Fan China
Eva Santermans relative to Degang Wu China Degang Wu's profile →
Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Eva Santermans

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Santermans Line = papers co-authored together Eva Santermans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 202150
3 201748
4 201637
5 201835
6 201633
7 201632
8 202231
9 201527
10 201426
11 201521
12 201519
13 201417
14 201912
15 20169
16 20198
17 20237
18 20146
19 20196
20 20215

About Eva Santermans

Eva Santermans is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Molecular Biology, Oncology and Developmental Neuroscience, having authored 27 papers that have together received 519 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Mesenchymal stem cell research (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Occupational and environmental lung diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Modeling and Simulation (108 citations), Developmental Neuroscience (38 citations), Neurology (52 citations), Pulmonary and Respiratory Medicine (129 citations) and Health (24 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, Patrick Pauwels, Jan P. van Meerbeeck, Evelien Smits, Elly Marcq, Jorrit De Waele, Christel Faes and Peter Ponsaerts. Their work appears in journals such as Epidemics, Cell Transplantation, Hematological Oncology, Blood and NMR in Biomedicine.

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.

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