Luigi Atripaldi

925 citations
39 papers · 341 · h-index 10

Impact in

Papers in

Luigi Atripaldi

37 papers receiving 337 citations

Peers

Luigi Atripaldi
Comparison fields: 5 of 65
  • Infectious Diseases 147
  • Hepatology 57
  • Modeling and Simulation 32
  • Transplantation 15
  • Virology 15
Replace Xingxiang Yang with:
Xingxiang Yang China
Hanaa Nafady‐Hego Egypt
Vincenzo Sangiovanni Italy
Maria Raffaella Petrara Italy
Anja Gäckler Germany
Emily Leven United States
Xingfei Pan China
YU Jin-hong China
Mohammed Khalid Saudi Arabia
Candice Clarke United Kingdom
Luigi Atripaldi relative to Xingxiang Yang China Xingxiang Yang's profile →
Citations per field
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Xingxiang Yang · 1×
Citations per year

Countries citing papers authored by Luigi Atripaldi

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Atripaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luigi Atripaldi, 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 Luigi Atripaldi Line = papers co-authored together Luigi Atripaldi 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 202058
2 202144
3 201634
4 202120
5 200615
6 202014
7 201711
8 200711
9 200911
10 200911
11 20069
12 20218
13 20218
14 20178
15 20097
16 20217
17 20236
18 20226
19 20175
20 20205

About Luigi Atripaldi

Luigi Atripaldi is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Surgery and Immunology, having authored 39 papers that have together received 341 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 detection and testing (6 papers), Hepatitis C virus research (6 papers), Long-Term Effects of COVID-19 (4 papers), T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Infectious Diseases (147 citations), Hepatology (57 citations), Modeling and Simulation (32 citations), Transplantation (15 citations) and Virology (15 citations). Luigi Atripaldi has collaborated with scholars based in Italy and India. Frequent co-authors include Alessandro Perrella, O. Perrella, Costanza Sbreglia, Massimiliano Berretta, Francesco Maria Fusco, Giuseppe Portella, Raffaele Di Francia, Nicola Maturo, Vincenzo Esposito and Tiziana Di Matola. Their work appears in journals such as Journal of Translational Medicine, Clinical Microbiology and Infection, Vaccines, Frontiers in Pharmacology and Scientific Reports.

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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