Francesca Munari

1.5k citations
51 papers · 805 · h-index 17

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

    • Ubiquitin and proteasome pathways 15
    • Protein Structure and Dynamics 11
    • RNA Research and Splicing 7
    • RNA and protein synthesis mechanisms 5
    • Alzheimer's disease research and treatments 17

Francesca Munari

50 papers receiving 803 citations

Peers

Francesca Munari
Comparison fields: 5 of 83
  • Neurology 128
  • Physiology 196
  • Biochemistry 43
  • Molecular Biology 482
  • Cell Biology 84
Replace Kunihiro Hongo with:
Kunihiro Hongo Japan
Elias Akoury Lebanon
Margarida Rodrigues United Kingdom
Ali Reza A. Ladiwala United States
Eleri Hughes United Kingdom
Ken‐ichi Akagi Japan
Shiori Tamamizu‐Kato United States
Ayeman Amanullah India
Masatomo So Japan
Francesca Munari relative to Kunihiro Hongo Japan Kunihiro Hongo's profile →
Citations per field
00.5×
Kunihiro Hongo · 1×
Citations per year

Countries citing papers authored by Francesca Munari

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Munari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 201259
3 201458
4 201741
5 201539
6 202036
7 202230
8 202028
9 201428
10 202128
11 201328
12 202026
13 201322
14 202218
15 201818
16 202017
17 202016
18 202316
19 201415
20 202015

About Francesca Munari

Francesca Munari is a scholar working on Molecular Biology, Physiology, Cell Biology, Neurology and Materials Chemistry, having authored 51 papers that have together received 805 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (17 papers), Ubiquitin and proteasome pathways (15 papers), Protein Structure and Dynamics (11 papers), RNA Research and Splicing (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Neurology (128 citations), Physiology (196 citations), Biochemistry (43 citations), Molecular Biology (482 citations) and Cell Biology (84 citations). Francesca Munari has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Michael Assfalg, Mariapina D’Onofrio, Markus Zweckstetter, Luigi Bubacco, Stefano Capaldi, Stefan Becker, Nasrollah Rezaei‐Ghaleh, Stefano Mammi, Laura Tosatto and Isabella Tessari. Their work appears in journals such as Angewandte Chemie International Edition, International Journal of Biological Macromolecules, Journal of Biological Chemistry, PLoS ONE and FEBS Letters.

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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