Eva Vets
Impact in
- Pharmaceutical Science top 10%
- Advancements in Transdermal Drug Delivery
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
Papers in
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- Receptor Mechanisms and Signaling 3
- Sphingolipid Metabolism and Signaling 1
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- Pharmacogenetics and Drug Metabolism 2
- Inflammatory mediators and NSAID effects 1
- Co-authors
- Isabel Leroux‐Roels (1 shared paper)Françoise Weber (1 shared paper)Camille Salamand (1 shared paper)Geert Leroux‐Roels (1 shared paper)Michael Seiberling (1 shared paper)N. Michiels (1 shared paper)Gary P. O’Neill (1 shared paper)JA Wagner (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (2 papers)The Journal of Clinical Pharmacology (1 paper)Vaccine (1 paper)American Journal of Health-System Pharmacy (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eva Vets
10 papers receiving 339 citations
Peers
Comparison fields: 5 of 74
- Pharmaceutical Science 45
- Endocrinology, Diabetes and Metabolism 84
- Dermatology 36
- Endocrine and Autonomic Systems 19
- Biological Psychiatry 7
Countries citing papers authored by Eva Vets
This map shows the geographic impact of Eva Vets'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 Vets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Vets more than expected).
Fields of papers citing papers by Eva Vets
This network shows the impact of papers produced by Eva Vets. 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 Vets. The network helps show where Eva Vets may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Vets, 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 | 2007 | 110 | |
| 2 | 2008 | 99 | |
| 3 | 2011 | 37 | |
| 4 | 2016 | 36 | |
| 5 | 2008 | 31 | |
| 6 | 2015 | 22 | |
| 7 | 2009 | 7 | |
| 8 | 2014 | 3 | |
| 9 | 2010 | 3 | |
| 10 | 2025 | 1 |
About Eva Vets
Eva Vets is a scholar working on Molecular Biology, Pharmacology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 10 papers that have together received 349 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pancreatic function and diabetes (1 paper), Inflammatory mediators and NSAID effects (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Urticaria and Related Conditions (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Pharmaceutical Science (45 citations), Endocrinology, Diabetes and Metabolism (84 citations), Dermatology (36 citations), Endocrine and Autonomic Systems (19 citations) and Biological Psychiatry (7 citations). Eva Vets has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Isabel Leroux‐Roels, Françoise Weber, Camille Salamand, Geert Leroux‐Roels, Michael Seiberling, N. Michiels, Gary P. O’Neill, JA Wagner, Eseng Lai and Fang Liu. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, Vaccine, American Journal of Health-System Pharmacy and European Respiratory Journal.
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.