Luca Carioti

671 citations
24 papers · 234 indexed · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Luca Carioti

23 papers receiving 231 citations

Peers

Luca Carioti
Comparison fields: 5 of 43
  • Hepatology 99
  • Virology 52
  • Infectious Diseases 109
  • Epidemiology 124
  • Animal Science and Zoology 10
Replace Wonderful T. Choga with:
Wonderful T. Choga United States
Gaëtan Ligat France
M. Damen Netherlands
Choi-Lai Tiong-Yip United States
Ève Todesco France
Sylvie Gonzalo France
P Almi Italy
Rodrigo Velázquez‐Moctezuma Denmark
Évelyne Schvoerer France
Matteo Surdo Italy
Luca Carioti relative to Wonderful T. Choga United States Wonderful T. Choga's profile →
Citations per field
00.5×3.2×
Wonderful T. Choga · 1×
Citations per year

Countries citing papers authored by Luca Carioti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Carioti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 202238
4 20221
5 20224
6 20223
7 202216
8 20218
9 20214
10 20213
11 202050
12 20198
13 20193
14 201911
15 201810
16 201631
17 20162
18 20166
19 20154
20 20131

About Luca Carioti

Luca Carioti is a scholar working on Virology, Hepatology, Infectious Diseases, Epidemiology and Rheumatology, having authored 24 papers that have together received 234 indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (9 papers), Hepatitis B Virus Studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV/AIDS Research and Interventions (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Hepatology (99 citations), Virology (52 citations), Infectious Diseases (109 citations), Epidemiology (124 citations) and Animal Science and Zoology (10 citations). Luca Carioti has collaborated with scholars based in Italy, Cameroon and United States. Frequent co-authors include Francesca Ceccherini‐Silberstein, Valentina Svicher, Romina Salpini, Carlo Federico Perno, Maria Concetta Bellocchi, Maria Mercedes Santoro, Lorenzo Piermatteo, Rossana Scutari, Mohammad Alkhatib and Daniele Armenia. Their work appears in journals such as Journal of Hepatology, Scientific Reports, The Journal of Infectious Diseases, Journal of Antimicrobial Chemotherapy and Clinical Infectious Diseases.

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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