Francesca Mariani

1.6k citations
46 papers · 1.2k indexed · h-index 20

Francesca Mariani

45 papers receiving 1.2k citations

Peers

Francesca Mariani
Comparison fields: 5 of 118
  • Infectious Diseases 448
  • Virology 71
  • Immunology 304
  • Epidemiology 312
  • Molecular Medicine 43
Replace Thidarut Boonmars with:
Thidarut Boonmars Thailand
Denise I. Bounous United States
Dhruba J. SenGupta United States
Giulia Cappelli Italy
Soon-Young Paik South Korea
Barry Ziola Canada
Yuji Isegawa Japan
Marion Dupuis France
Ka‐Wing Wong China
Bumseok Kim South Korea
Francesca Mariani relative to Thidarut Boonmars Thailand Thidarut Boonmars's profile →
Citations per field
00.5×3.4×
Thidarut Boonmars · 1×
Citations per year

Countries citing papers authored by Francesca Mariani

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202312
4 201660
5 201424
6 201216
7 20112
8 20106
9 20098
10 200673
11 200664
12 200618
13 200513
14 200132
15 199953
16 199738
17 1997122
18 19938
19 199333
20 199243

About Francesca Mariani

Francesca Mariani is a scholar working on Infectious Diseases, Virology, Immunology, Biochemistry and Applied Microbiology and Biotechnology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (8 papers), Essential Oils and Antimicrobial Activity (6 papers), Diagnosis and treatment of tuberculosis (5 papers), Immunotherapy and Immune Responses (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (448 citations), Virology (71 citations), Immunology (304 citations), Epidemiology (312 citations) and Molecular Medicine (43 citations). Francesca Mariani has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Vittorio Colizzi, Giulia Cappelli, Elisabetta Volpe, Manuela Grassi, Alessandro Sanduzzi, Massimiliano Galdiero, Carla Zannella, F Mosca, Veronica Folliero and Pietro Giorgio Tiscar. Their work appears in journals such as The Journal of Infectious Diseases, Microbial Pathogenesis, Biochemical Journal, Scientific Reports and Immunology.

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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