Chiara Papi

734 citations
39 papers · 547 · h-index 14

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • RNA Interference and Gene Delivery 5
    • Genomics, phytochemicals, and oxidative stress 4
    • MicroRNA in disease regulation 9

Chiara Papi

39 papers receiving 539 citations

Peers

Chiara Papi
Comparison fields: 5 of 90
  • Cancer Research 88
  • Toxicology 20
  • Genetics 43
  • Molecular Biology 279
  • Neurology 37
Replace Roberta Ottria with:
Roberta Ottria Italy
Changyu Shan China
Pierre Cuq France
Mirosława Koronkiewicz Poland
Aimee K. Bence United States
Sabina Y. van der Zanden Netherlands
Viktor S. Stroylov Russia
Dan Mao China
Eric Ferrandis France
Pedro Brugarolas United States
Chiara Papi relative to Roberta Ottria Italy Roberta Ottria's profile →
Citations per field
00.5×3.3×
Roberta Ottria · 1×
Citations per year

Countries citing papers authored by Chiara Papi

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Papi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200150
2 202140
3 200138
4 201635
5 202034
6 200234
7 202033
8 201928
9 200127
10 202221
11 202220
12 202018
13 200117
14 202515
15 202213
16 202212
17 202311
18 20249
19 20199
20 20238

About Chiara Papi

Chiara Papi is a scholar working on Molecular Biology, Cancer Research, Immunology, Plant Science and Materials Chemistry, having authored 39 papers that have together received 547 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (5 papers), Garlic and Onion Studies (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Cancer Research (88 citations), Toxicology (20 citations), Genetics (43 citations), Molecular Biology (279 citations) and Neurology (37 citations). Chiara Papi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessia Finotti, Jessica Gasparello, Roberto Gambari, Marco Macchia, Filippo Minutolo, Laura Gambari, Roberto Corradini, Simone Bertini, Alex Manicardi and Elisabetta D’Aversa. Their work appears in journals such as Molecules, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and PLoS ONE.

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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