Dániel Nemes
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Drug Solubulity and Delivery Systems
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- Curcumin's Biomedical Applications
Papers in
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- Advanced Drug Delivery Systems 6
- Drug Solubulity and Delivery Systems 5
- Advancements in Transdermal Drug Delivery 4
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- Natural product bioactivities and synthesis 3
- Co-authors
- Ildikó Bácskay (20 shared papers)Pálma Fehér (14 shared papers)Zoltán Ujhelyi (12 shared papers)Ferenc Fenyvesi (10 shared papers)Miklós Vecsernyés (9 shared papers)Judit Váradi (9 shared papers)Gábor Vasvári (8 shared papers)Renátó Kovács (5 shared papers)
In The Last Decade
Dániel Nemes
21 papers receiving 335 citations
Peers
Comparison fields: 5 of 82
- Pharmaceutical Science 113
- Molecular Medicine 32
- Food Science 64
- Biochemistry 18
- Pharmacology 25
Countries citing papers authored by Dániel Nemes
This map shows the geographic impact of Dániel Nemes'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 Dániel Nemes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Nemes more than expected).
Fields of papers citing papers by Dániel Nemes
This network shows the impact of papers produced by Dániel Nemes. 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 Dániel Nemes. The network helps show where Dániel Nemes may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Nemes, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2022 | 32 | |
| 3 | 2019 | 30 | |
| 4 | 2017 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2022 | 23 | |
| 7 | 2023 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 4 |
About Dániel Nemes
Dániel Nemes is a scholar working on Pharmaceutical Science, Molecular Biology, Food Science, Infectious Diseases and Organic Chemistry, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (6 papers), Drug Solubulity and Delivery Systems (5 papers), Advancements in Transdermal Drug Delivery (4 papers), Natural product bioactivities and synthesis (3 papers), Antimicrobial agents and applications (2 papers), Ocular Surface and Contact Lens (2 papers), Curcumin's Biomedical Applications (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Pharmaceutical Science (113 citations), Molecular Medicine (32 citations), Food Science (64 citations), Biochemistry (18 citations) and Pharmacology (25 citations). Dániel Nemes has collaborated with scholars based in Hungary, Romania and Iran. Frequent co-authors include Ildikó Bácskay, Pálma Fehér, Zoltán Ujhelyi, Ferenc Fenyvesi, Miklós Vecsernyés, Judit Váradi, Gábor Vasvári, Renátó Kovács, Zoltán Tóth and Ádám Haimhoffer. Their work appears in journals such as Molecules, Pharmaceutics, Polymers, European Journal of Pharmaceutical Sciences and Pharmacology.
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.