Gábor Vasvári
Impact in
- Pharmaceutical Science top 1%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
Papers in
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- Drug Solubulity and Delivery Systems 20
- Advanced Drug Delivery Systems 8
- Advancements in Transdermal Drug Delivery 3
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- Barrier Structure and Function Studies 2
- Co-authors
- Ildikó Bácskay (31 shared papers)Ferenc Fenyvesi (26 shared papers)Judit Váradi (24 shared papers)Miklós Vecsernyés (23 shared papers)Pálma Siposné Fehér (23 shared papers)Zoltán Ujhelyi (22 shared papers)Ádám Haimhoffer (20 shared papers)Ágnes Rusznyák (11 shared papers)
In The Last Decade
Gábor Vasvári
32 papers receiving 729 citations
Peers
Comparison fields: 5 of 73
- Pharmaceutical Science 401
- Drug Discovery 4
- Biomaterials 88
- Biochemistry 40
- Molecular Medicine 37
Countries citing papers authored by Gábor Vasvári
This map shows the geographic impact of Gábor Vasvári'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 Gábor Vasvári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Vasvári more than expected).
Fields of papers citing papers by Gábor Vasvári
This network shows the impact of papers produced by Gábor Vasvári. 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 Gábor Vasvári. The network helps show where Gábor Vasvári may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor Vasvári, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2020 | 58 | |
| 3 | 2015 | 53 | |
| 4 | 2018 | 51 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 39 | |
| 7 | 2018 | 38 | |
| 8 | 2022 | 28 | |
| 9 | 2017 | 26 | |
| 10 | 2023 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2021 | 15 | |
| 19 | 2025 | 15 | |
| 20 | 2022 | 12 |
About Gábor Vasvári
Gábor Vasvári is a scholar working on Pharmaceutical Science, Neurology, Biomaterials, Molecular Medicine and Gastroenterology, having authored 34 papers that have together received 750 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (20 papers), Advanced Drug Delivery Systems (8 papers), Advancements in Transdermal Drug Delivery (3 papers), Barrier Structure and Function Studies (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Lysosomal Storage Disorders Research (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Pharmaceutical Science (401 citations), Drug Discovery (4 citations), Biomaterials (88 citations), Biochemistry (40 citations) and Molecular Medicine (37 citations). Gábor Vasvári has collaborated with scholars based in Hungary, Romania and Italy. Frequent co-authors include Ildikó Bácskay, Ferenc Fenyvesi, Judit Váradi, Miklós Vecsernyés, Pálma Siposné Fehér, Zoltán Ujhelyi, Ádám Haimhoffer, Ágnes Rusznyák, Dániel Nemes and Milo Malanga. Their work appears in journals such as Pharmaceutics, Molecules, AAPS PharmSciTech, Polymers and Drug Discovery Today Technologies.
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.