Árpád Márki
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Advancements in Transdermal Drug Delivery
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- Neuropeptides and Animal Physiology
- Neurobiology and Insect Physiology Research
Papers in
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- Neuropeptides and Animal Physiology 11
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- Advanced Drug Delivery Systems 8
- Drug Solubulity and Delivery Systems 6
- Co-authors
- Róbert Gáspár (17 shared papers)Mária Báthori (2 shared papers)Attila Hunyadi (2 shared papers)Ernő Zádor (1 shared paper)Rita Ambrus (9 shared papers)Piroska Szabó‐Révész (9 shared papers)Eszter Ducza (9 shared papers)George Falkay (11 shared papers)
In The Last Decade
Árpád Márki
43 papers receiving 840 citations
Peers
Comparison fields: 5 of 105
- Pharmaceutical Science 214
- Cellular and Molecular Neuroscience 167
- Biochemistry 45
- Toxicology 18
- Molecular Biology 306
Countries citing papers authored by Árpád Márki
This map shows the geographic impact of Árpád Márki'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 Árpád Márki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Árpád Márki more than expected).
Fields of papers citing papers by Árpád Márki
This network shows the impact of papers produced by Árpád Márki. 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 Árpád Márki. The network helps show where Árpád Márki may publish in the future.
Co-authors
The 25 scholars most cited alongside Árpád Márki, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 160 | |
| 2 | 2020 | 57 | |
| 3 | 2020 | 48 | |
| 4 | 2013 | 46 | |
| 5 | 2013 | 40 | |
| 6 | 1999 | 37 | |
| 7 | 2015 | 36 | |
| 8 | 1998 | 33 | |
| 9 | 2003 | 31 | |
| 10 | 2012 | 28 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 24 | |
| 13 | 2005 | 24 | |
| 14 | 2001 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2002 | 17 | |
| 17 | 1997 | 16 | |
| 18 | 2009 | 16 | |
| 19 | 1994 | 14 | |
| 20 | 2019 | 13 |
About Árpád Márki
Árpád Márki is a scholar working on Cellular and Molecular Neuroscience, Pharmaceutical Science, Social Psychology, Molecular Biology and Genetics, having authored 44 papers that have together received 860 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Neuroendocrine regulation and behavior (10 papers), Advanced Drug Delivery Systems (8 papers), Estrogen and related hormone effects (7 papers), Drug Solubulity and Delivery Systems (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Preterm Birth and Chorioamnionitis (3 papers). The work is most often cited by research in Pharmaceutical Science (214 citations), Cellular and Molecular Neuroscience (167 citations), Biochemistry (45 citations), Toxicology (18 citations) and Molecular Biology (306 citations). Árpád Márki has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Róbert Gáspár, Mária Báthori, Attila Hunyadi, Ernő Zádor, Rita Ambrus, Piroska Szabó‐Révész, Eszter Ducza, George Falkay, Anita Sztojkov‐Ivanov and Balázs Jójárt. Their work appears in journals such as Life Sciences, Steroids, International Journal of Pharmaceutics, Molecules and Journal of Molecular Modeling.
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.