Benedetta Mannini

47 papers receiving 2.6k citations

Peers

Benedetta Mannini
Comparison fields: 5 of 110
  • Physiology 1.5k
  • Aging 74
  • Molecular Biology 1.5k
  • Neurology 298
  • Cell Biology 333
Replace Annalisa Relini with:
Annalisa Relini Italy
Sean Chia United Kingdom
Michele Perni United Kingdom
Thomas Robert Jahn United Kingdom
Leila M. Luheshi United Kingdom
Annett Boeddrich Germany
Nasrollah Rezaei‐Ghaleh Germany
Justin A. Legleiter United States
Ryan Limbocker United Kingdom
Marten Beeg Italy
Benedetta Mannini relative to Annalisa Relini Italy Annalisa Relini's profile →
Citations per field
00.5×1.5×
Annalisa Relini · 1×
Citations per year

Countries citing papers authored by Benedetta Mannini

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Mannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010476
2 2016199
3 2014174
4 2012139
5 2019133
6 2020121
7 2020120
8 2019107
9 2018103
10 201588
11 202073
12 202167
13 201367
14 202056
15 201053
16 201153
17 201750
18 201849
19 202148
20 202038

About Benedetta Mannini

Benedetta Mannini is a scholar working on Physiology, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (32 papers), Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Physiology (1.5k citations), Aging (74 citations), Molecular Biology (1.5k citations), Neurology (298 citations) and Cell Biology (333 citations). Benedetta Mannini has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Fabrizio Chiti, Christopher Martin Dobson, Michele Vendruscolo, Cristina Cecchi, Tuomas P. J. Knowles, Mariagioia Zampagni, Silvia Campioni, Annalisa Relini, Roberta Cascella and Elisa Evangelisti. Their work appears in journals such as ACS Chemical Neuroscience, Proceedings of the National Academy of Sciences, Biophysical Journal, Scientific Reports and Journal of Molecular Biology.

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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