Francesca Peccati

1.7k citations
59 papers · 1.2k · h-index 18

Impact in

Papers in

    • Protein Structure and Dynamics 15
    • RNA and protein synthesis mechanisms 6
    • Glycosylation and Glycoproteins Research 5
    • Enzyme Structure and Function 5

Francesca Peccati

57 papers receiving 1.2k citations

Peers

Francesca Peccati
Comparison fields: 5 of 110
  • Physical and Theoretical Chemistry 121
  • Organic Chemistry 333
  • Biomaterials 125
  • Neurology 122
  • Aging 13
Replace Pramit K. Chowdhury with:
Pramit K. Chowdhury India
Marina Veronesi Italy
Olga I. Povarova Russia
Thomas Antony India
Carmelo La Rosa Italy
Anna I. Sulatskaya Russia
Gaetano Irace Italy
Orkid Coskuner‐Weber United States
Giovanni La Penna Italy
Tae Su Choi South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Francesca Peccati

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Peccati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020214
2 2018175
3 202098
4 202075
5 202059
6 201753
7 202143
8 202336
9 201730
10 202328
11 201523
12 202322
13 201321
14 202021
15 201919
16 202319
17 201819
18 202018
19 202215
20 202314

About Francesca Peccati

Francesca Peccati is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Physical and Theoretical Chemistry and Physiology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Alzheimer's disease research and treatments (9 papers), Computational Drug Discovery Methods (7 papers), Crystallography and molecular interactions (6 papers), RNA and protein synthesis mechanisms (6 papers), Glycosylation and Glycoproteins Research (5 papers), Enzyme Structure and Function (5 papers) and Supramolecular Self-Assembly in Materials (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (121 citations), Organic Chemistry (333 citations), Biomaterials (125 citations), Neurology (122 citations) and Aging (13 citations). Francesca Peccati has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Julia Contreras‐García, Gonzalo Jiménez‐Osés, Mariona Sodupe, Rubén Laplaza, Chaoyu Quan, Alessandra Carbone, Roberto A. Boto, Jean‐Philip Piquemal, Yvon Maday and Salvador Ventura. Their work appears in journals such as Journal of Chemical Information and Modeling, The Journal of Physical Chemistry C, Angewandte Chemie International Edition, ACS Omega and Physical Chemistry Chemical Physics.

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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