Gian Sberna

1.2k citations
15 papers · 978 · h-index 13

Impact in

    • Cholinesterase and Neurodegenerative Diseases
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • RNA Interference and Gene Delivery 4
    • Natural product bioactivities and synthesis 2
    • Cholinesterase and Neurodegenerative Diseases 4
    • Microbial Natural Products and Biosynthesis 2

Gian Sberna

15 papers receiving 955 citations

Peers

Gian Sberna
Comparison fields: 5 of 93
  • Pharmacology 388
  • Biomaterials 167
  • Computational Theory and Mathematics 171
  • Physiology 274
  • Polymers and Plastics 142
Replace Della Grace Thomas Parambi with:
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Chelliah Selvam United States
Maria Gregori Italy
Nobuaki Shirai Japan
Maria João Ramalho Portugal
Stéphanie Andrade Portugal
Pennapa Chonpathompikunlert Thailand
Barnabas Wilson India
Lixing Xu China
Ping Men China
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Citations per field
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Citations per year

Countries citing papers authored by Gian Sberna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gian Sberna Line = papers co-authored together Gian Sberna links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996158
2 2011130
3 1997108
4 199997
5 201197
6 199889
7 201257
8 201049
9 200444
10 199743
11 200442
12 199740
13 200515
14 20056
15 20053

About Gian Sberna

Gian Sberna is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Polymers and Plastics and Physiology, having authored 15 papers that have together received 978 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (4 papers), Computational Drug Discovery Methods (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), RNA Interference and Gene Delivery (4 papers), Alzheimer's disease research and treatments (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Natural product bioactivities and synthesis (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Pharmacology (388 citations), Biomaterials (167 citations), Computational Theory and Mathematics (171 citations), Physiology (274 citations) and Polymers and Plastics (142 citations). Gian Sberna has collaborated with scholars based in Australia and Germany. Frequent co-authors include David H. Small, Javier Sáez‐Valero, Samantha Michaelson, David J. Owen, Christopher J. H. Porter, Brian D. Kelly, Lisa M. Kaminskas, 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 Phytochemistry.

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.

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