Simone Aureli

15 papers receiving 143 citations

Peers

Simone Aureli
Comparison fields: 5 of 60
  • Aging 3
  • Computational Theory and Mathematics 25
  • Molecular Biology 104
  • Cellular and Molecular Neuroscience 27
  • Biophysics 7
Replace Alexander Cumberworth with:
Alexander Cumberworth United Kingdom
Raphael Alhadeff Israel
José Guilherme de Almeida Portugal
Pooja Suresh United States
Assaf Elazar Israel
Christian Blau Sweden
Abraham López Germany
Asghar M. Razavi United States
Shristi Pawnikar United States
Brook T. Wassie United States
Simone Aureli relative to Alexander Cumberworth United Kingdom Alexander Cumberworth's profile →
Citations per field
00.5×1.5×2.1×
Alexander Cumberworth · 1×
Citations per year

Countries citing papers authored by Simone Aureli

Since Specialization
Citations

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

Fields of papers citing papers by Simone Aureli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202330
2 202223
3 202323
4 202217
5 20189
6 20217
7 20247
8 20197
9 20234
10 20244
11 20143
12 20243
13 20252
14 20252
15 20242
16 20250
17 20250

About Simone Aureli

Simone Aureli is a scholar working on Aging, Computational Theory and Mathematics, Biophysics, Molecular Biology and Condensed Matter Physics, having authored 17 papers that have together received 143 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (3 papers), Lipid Membrane Structure and Behavior (2 papers), Neural Networks and Applications (2 papers), Theoretical and Computational Physics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (3 citations), Computational Theory and Mathematics (25 citations), Molecular Biology (104 citations), Cellular and Molecular Neuroscience (27 citations) and Biophysics (7 citations). Simone Aureli has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Francesco Luigi Gervasio, Valerio Rizzi, Narjes Ansari, Miriam Stoeber, Vittorio Limongelli, Stefano Raniolo, Richard D. Taylor, Benjamin P. Cossins, Velia Minicozzi and Silvia Morante. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry Letters, Science Advances, The Journal of Chemical Physics and Journal of Chemical Information and Modeling.

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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