Mario Jug
Impact in
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Drug Solubulity and Delivery Systems 29
- Advanced Drug Delivery Systems 17
- Advancements in Transdermal Drug Delivery 7
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- Surfactants and Colloidal Systems 5
- Co-authors
- P. Mura (9 shared papers)Mira Bećirević‐Laćan (11 shared papers)Ivan Kosalec (8 shared papers)Francesca Maestrelli (6 shared papers)Marijana Zovko Končić (11 shared papers)Jasna Jablan (12 shared papers)Jasmina Lovrić (5 shared papers)Jelena Filipović‐Grčić (3 shared papers)
In The Last Decade
Mario Jug
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Pharmaceutical Science 694
- Biochemistry 153
- Food Science 290
- Analytical Chemistry 108
- Molecular Medicine 55
Countries citing papers authored by Mario Jug
This map shows the geographic impact of Mario Jug'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 Mario Jug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Jug more than expected).
Fields of papers citing papers by Mario Jug
This network shows the impact of papers produced by Mario Jug. 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 Mario Jug. The network helps show where Mario Jug may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Jug, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 90 | |
| 2 | 2017 | 79 | |
| 3 | 2018 | 77 | |
| 4 | 2010 | 76 | |
| 5 | 2017 | 73 | |
| 6 | 2009 | 66 | |
| 7 | 2014 | 64 | |
| 8 | 2017 | 63 | |
| 9 | 2019 | 61 | |
| 10 | 2018 | 55 | |
| 11 | 2018 | 44 | |
| 12 | 2014 | 43 | |
| 13 | 2009 | 36 | |
| 14 | 2018 | 34 | |
| 15 | 2021 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2015 | 31 | |
| 19 | Influence of cyclodextrin complexation on piroxicam gel formulations. | 2005 | 29 |
| 20 | 2012 | 28 |
About Mario Jug
Mario Jug is a scholar working on Pharmaceutical Science, Organic Chemistry, Analytical Chemistry, Materials Chemistry and Spectroscopy, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (29 papers), Advanced Drug Delivery Systems (17 papers), Analytical Methods in Pharmaceuticals (9 papers), Analytical Chemistry and Chromatography (9 papers), Crystallization and Solubility Studies (9 papers), Advancements in Transdermal Drug Delivery (7 papers), Phytochemicals and Antioxidant Activities (7 papers) and Surfactants and Colloidal Systems (5 papers). The work is most often cited by research in Pharmaceutical Science (694 citations), Biochemistry (153 citations), Food Science (290 citations), Analytical Chemistry (108 citations) and Molecular Medicine (55 citations). Mario Jug has collaborated with scholars based in Croatia, Italy and Hungary. Frequent co-authors include P. Mura, Mira Bećirević‐Laćan, Ivan Kosalec, Francesca Maestrelli, Marijana Zovko Končić, Jasna Jablan, Jasmina Lovrić, Jelena Filipović‐Grčić, Ivan Pepić and Natascia Mennini. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Carbohydrate Polymers, Molecules, European Journal of Pharmaceutical Sciences and LWT.
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.