Gian Sberna
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 3
- Natural product bioactivities and synthesis 2
-
- Cholinesterase and Neurodegenerative Diseases 5
- Microbial Natural Products and Biosynthesis 2
- Co-authors
- David H. Small (5 shared papers)Javier Sáez‐Valero (4 shared papers)Samantha Michaelson (1 shared paper)Lisa M. Kaminskas (4 shared papers)David J. Owen (4 shared papers)Christopher J. H. Porter (4 shared papers)Brian D. Kelly (4 shared papers)Ben J. Boyd (4 shared papers)
- Journals
- Journal of Natural Products (3 papers)Journal of Neurochemistry (3 papers)Molecular Pharmaceutics (2 papers)Gene (1 paper)Nanomedicine Nanotechnology Biology and Medicine (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Gian Sberna
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Pharmacology 396
- Biomaterials 181
- Polymers and Plastics 180
- Physiology 274
- Computational Theory and Mathematics 181
Countries citing papers authored by Gian Sberna
This map shows the geographic impact of Gian Sberna'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 Gian Sberna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Sberna more than expected).
Fields of papers citing papers by Gian Sberna
This network shows the impact of papers produced by Gian Sberna. 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 Gian Sberna. The network helps show where Gian Sberna may publish in the future.
Co-authors
The 25 scholars most cited alongside Gian Sberna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 168 | |
| 2 | 2011 | 152 | |
| 3 | 2011 | 121 | |
| 4 | 1997 | 112 | |
| 5 | 1999 | 100 | |
| 6 | 1998 | 93 | |
| 7 | 2012 | 66 | |
| 8 | 2010 | 57 | |
| 9 | 2004 | 48 | |
| 10 | 1997 | 45 | |
| 11 | 2004 | 43 | |
| 12 | 1997 | 42 | |
| 13 | 2005 | 15 | |
| 14 | 2005 | 6 | |
| 15 | 2005 | 5 | |
| 16 | 1998 | 0 |
About Gian Sberna
Gian Sberna is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Physiology and Polymers and Plastics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (5 papers), Alzheimer's disease research and treatments (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), RNA Interference and Gene Delivery (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Pharmacology (396 citations), Biomaterials (181 citations), Polymers and Plastics (180 citations), Physiology (274 citations) and Computational Theory and Mathematics (181 citations). Gian Sberna has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include David H. Small, Javier Sáez‐Valero, Samantha Michaelson, Lisa M. Kaminskas, David J. Owen, Christopher J. H. Porter, Brian D. Kelly, Ben J. Boyd, Victoria M. McLeod and Catriona McLean. Their work appears in journals such as Journal of Natural Products, Journal of Neurochemistry, Molecular Pharmaceutics, Gene and Nanomedicine Nanotechnology Biology and Medicine.
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.