Fabio Mengoni

1.5k citations
50 papers · 1.1k · h-index 23

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 11
    • HIV/AIDS Research and Interventions 4
    • Infectious Diseases and Tuberculosis 10

Fabio Mengoni

48 papers receiving 1.1k citations

Peers

Fabio Mengoni
Comparison fields: 5 of 97
  • Virology 187
  • Infectious Diseases 286
  • Immunology 266
  • Hepatology 71
  • Epidemiology 256
Replace Isabelle Seguin with:
Isabelle Seguin Canada
Giulio Ferrario Italy
Börje Åkerlund Sweden
Jiaqi Zhao China
Miki Kawada Japan
Elisa Nemes South Africa
Judit Szabó Hungary
Pierrette Gourde Canada
Peter A. Tomasulo United States
Edson Assis Brazil
Fabio Mengoni relative to Isabelle Seguin Canada Isabelle Seguin's profile →
Citations per field
00.5×2.5×
Isabelle Seguin · 1×
Citations per year

Countries citing papers authored by Fabio Mengoni

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Mengoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200290
2 200382
3 199975
4 200250
5 200945
6 200636
7 201736
8 200935
9 200035
10 200735
11 201634
12 202033
13 201231
14 201129
15 200128
16 201727
17 201227
18 200027
19 200325
20 201724

About Fabio Mengoni

Fabio Mengoni is a scholar working on Infectious Diseases, Surgery, Epidemiology, Virology and Immunology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Tuberculosis Research and Epidemiology (11 papers), Infectious Diseases and Tuberculosis (10 papers), Mycobacterium research and diagnosis (8 papers), Hepatitis C virus research (6 papers), HIV-related health complications and treatments (6 papers), Immune Cell Function and Interaction (5 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Virology (187 citations), Infectious Diseases (286 citations), Immunology (266 citations), Hepatology (71 citations) and Epidemiology (256 citations). Fabio Mengoni has collaborated with scholars based in Italy, Myanmar and Ireland. Frequent co-authors include Claudio Maria Mastroianni, Miriam Lichtner, Vincenzo Vullo, Vincenzo Vullo, Ilaria Sauzullo, Anna Paola Massetti, Claudia D’Agostino, Gabriela Mazzanti, Lucia Battinelli and Gabriele Forcina. Their work appears in journals such as PLoS ONE, AIDS, Blood, International Journal of Molecular Sciences and Viruses.

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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