Stefania Preda

612 citations
29 papers · 497 · h-index 15

Impact in

Papers in

Stefania Preda

29 papers receiving 487 citations

Peers

Stefania Preda
Comparison fields: 5 of 98
  • Biological Psychiatry 44
  • Cellular and Molecular Neuroscience 146
  • Behavioral Neuroscience 25
  • Physiology 166
  • Pharmacology 104
Replace Ran Won with:
Ran Won South Korea
Fares Zeidán‐Chuliá Brazil
Brian Hrupka United States
Takumi Tamayama Japan
Giuditta Gambino Italy
Ranjana Bhandari India
Jonathan Cueto‐Escobedo Mexico
Fangjun Lin China
Ali Moghimi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Stefania Preda

Since Specialization
Citations

This map shows the geographic impact of Stefania Preda'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 Stefania Preda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Preda more than expected).

Fields of papers citing papers by Stefania Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefania Preda. 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 Stefania Preda. The network helps show where Stefania Preda may publish in the future.

Co-authors

The 25 scholars most cited alongside Stefania Preda, 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 Stefania Preda Line = papers co-authored together Stefania Preda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 200349
3 200747
4 200928
5
Aphid species--vectors of plum pox virus.
199828
6 201023
7 201421
8 201821
9 202220
10 201419
11 201019
12 201017
13 202117
14 199616
15 201616
16 201214
17 201613
18 201312
19 201111
20 201511

About Stefania Preda

Stefania Preda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Plant Science, having authored 29 papers that have together received 497 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (6 papers), Alzheimer's disease research and treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Silk-based biomaterials and applications (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Biological Psychiatry (44 citations), Cellular and Molecular Neuroscience (146 citations), Behavioral Neuroscience (25 citations), Physiology (166 citations) and Pharmacology (104 citations). Stefania Preda has collaborated with scholars based in Italy and United States. Frequent co-authors include Stefano Govoni, Mario Marchi, Massimo Grilli, Elisa Mura, Cristina Lanni, Stefania Zappettini, Marco Racchi, Guendalina Olivero, P. Frattini and Alessia Salamone. Their work appears in journals such as Natural Product Communications, Plants, Current Pharmaceutical Design, International Journal of Food Science & Technology and Journal of Applied Polymer Science.

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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