Armond Daci
Impact in
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- Eicosanoids and Hypertension Pharmacology
Papers in
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- Extracellular vesicles in disease 2
- Co-authors
- Shaip Krasniqi (12 shared papers)Gülsev Özen (5 shared papers)Gökçe Topal (6 shared papers)Xavier Norel (3 shared papers)Giangiacomo Beretta (10 shared papers)Ljubica Šuturkova (2 shared papers)Fisnik Jashari (1 shared paper)Giuseppe Danilo Norata (3 shared papers)
- Journals
- PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)European Journal of Pharmacology (2 papers)Journal of Pharmaceutical Policy and Practice (2 papers)Journal of Neuroimmunology (1 paper)
- Partner nations
- KosovoItalyUnited Kingdom
In The Last Decade
Armond Daci
30 papers receiving 446 citations
Peers
Comparison fields: 5 of 91
- Applied Microbiology and Biotechnology 10
- Biochemistry 31
- Family Practice 6
- Psychiatry and Mental health 47
- Cardiology and Cardiovascular Medicine 70
Countries citing papers authored by Armond Daci
This map shows the geographic impact of Armond Daci'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 Armond Daci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armond Daci more than expected).
Fields of papers citing papers by Armond Daci
This network shows the impact of papers produced by Armond Daci. 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 Armond Daci. The network helps show where Armond Daci may publish in the future.
Co-authors
The 25 scholars most cited alongside Armond Daci, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 58 | |
| 2 | 2017 | 45 | |
| 3 | 2018 | 39 | |
| 4 | 2015 | 38 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 35 | |
| 7 | 2015 | 35 | |
| 8 | 2017 | 28 | |
| 9 | 2023 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2017 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2019 | 4 |
About Armond Daci
Armond Daci is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Pharmacology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 457 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Pharmaceutical studies and practices (2 papers), Cardiovascular Disease and Adiposity (2 papers), Extracellular vesicles in disease (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Biochemistry (31 citations), Family Practice (6 citations), Psychiatry and Mental health (47 citations) and Cardiology and Cardiovascular Medicine (70 citations). Armond Daci has collaborated with scholars based in Kosovo, Italy and United Kingdom. Frequent co-authors include Shaip Krasniqi, Gülsev Özen, Gökçe Topal, Xavier Norel, Giangiacomo Beretta, Ljubica Šuturkova, Fisnik Jashari, Giuseppe Danilo Norata, Driton Vllasaliu and Zaheer‐Ud‐Din Babar. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, European Journal of Pharmacology, Journal of Pharmaceutical Policy and Practice and Journal of Neuroimmunology.
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.