Benedetta Mannini

44 papers receiving 2.2k citations

Peers

Benedetta Mannini
Comparison fields: 5 of 109
  • Physiology 1.2k
  • Aging 57
  • Molecular Biology 1.4k
  • Cell Biology 285
  • Biomaterials 229
Replace Michele Perni with:
Michele Perni United Kingdom
Sean Chia United Kingdom
Annalisa Relini Italy
Leila M. Luheshi United Kingdom
Justin Legleiter United States
Tamotsu Zako Japan
Mahiuddin Ahmed United States
Laura Masino United Kingdom
Silvia Campioni Switzerland
Michael R. Sierks United States
Benedetta Mannini relative to Michele Perni United Kingdom Michele Perni's profile →
Citations per field
00.5×6.4×
Michele Perni · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010470
2 2016191
3 2014170
4 2012138
5 2020117
6 2020113
7 2019104
8 201583
9 202073
10 201367
11 202162
12 201153
13 201053
14 201746
15 201846
16 202137
17 202036
18 201331
19 202130
20 202230

About Benedetta Mannini

Benedetta Mannini is a scholar working on Physiology, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Protein Structure and Dynamics (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Computational Drug Discovery Methods (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Enzyme Structure and Function (3 papers), Heat shock proteins research (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Physiology (1.2k citations), Aging (57 citations), Molecular Biology (1.4k citations), Cell Biology (285 citations) and Biomaterials (229 citations). Benedetta Mannini has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Fabrizio Chiti, Christopher M. Dobson, Cristina Cecchi, Michele Vendruscolo, Mariagioia Zampagni, Silvia Campioni, Tuomas P. J. Knowles, Annalisa Relini, Roberta Cascella and Elisa Evangelisti. Their work appears in journals such as ACS Chemical Neuroscience, Biophysical Journal, Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Scientific Reports.

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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