Flora Donati

4.7k citations
11 papers · 170 · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • SARS-CoV-2 detection and testing 3
    • HIV/AIDS drug development and treatment 2
    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 2

Flora Donati

11 papers receiving 166 citations

Peers

Flora Donati
Comparison fields: 5 of 43
  • Infectious Diseases 83
  • Modeling and Simulation 19
  • Hepatology 19
  • Animal Science and Zoology 17
  • Cancer Research 22
Replace Yaochang Yuan with:
Yaochang Yuan China
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Mónica L. Acevedo Chile
Pin Wan China
Kehu Yuan China
Ashley Y. Wu United States
Nell Saunders France
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Jalees A. Nasir Canada
Sathishkumar Ramaswamy United Arab Emirates
Flora Donati relative to Yaochang Yuan China Yaochang Yuan's profile →
Citations per field
00.5×3.8×
Yaochang Yuan · 1×
Citations per year

Countries citing papers authored by Flora Donati

Since Specialization
Citations

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

Fields of papers citing papers by Flora Donati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202046
2 202140
3 201719
4 202316
5 201811
6 20238
7 20187
8 20207
9 20236
10 20235
11 20205

About Flora Donati

Flora Donati is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 170 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), SARS-CoV-2 detection and testing (3 papers), HIV/AIDS drug development and treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Infectious Diseases (83 citations), Modeling and Simulation (19 citations), Hepatology (19 citations), Animal Science and Zoology (17 citations) and Cancer Research (22 citations). Flora Donati has collaborated with scholars based in France and Mali. Frequent co-authors include Sylvie van der Werf, Sylvie Behillil, Etienne Simon‐Lorière, Vincent Enouf, Jean–Michel Pawlotsky, Piergiuseppe Quarato, Angela Brisebarre, Maxime Chazal, Marco Vignuzzi and Meetali Singh. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, iScience, PLoS Computational Biology, Alimentary Pharmacology & Therapeutics and Journal of Biological Chemistry.

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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