L. Finelli

2.1k citations
31 papers · 750 · h-index 17

Impact in

Papers in

    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 7
    • Liver Disease Diagnosis and Treatment 5
    • Tuberculosis Research and Epidemiology 3

L. Finelli

31 papers receiving 707 citations

Peers

L. Finelli
Comparison fields: 5 of 93
  • Modeling and Simulation 93
  • Hepatology 135
  • Endocrinology 76
  • Epidemiology 448
  • Infectious Diseases 208
Replace Sae Yoon Kee with:
Sae Yoon Kee South Korea
Marc Rondy United States
Seong‐Heon Wie South Korea
Octavio Corral Spain
Kayoko Shioda United States
Anke L. Stuurman Belgium
Meredith Vandermeer United States
Neus Camps Spain
Ira Praharaj India
Xiangshi Wang China
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Citations per field
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Sae Yoon Kee · 1×
Citations per year

Countries citing papers authored by L. Finelli

Since Specialization
Citations

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

Fields of papers citing papers by L. Finelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986107
2 201387
3
Risk factors for sporadic infection with Escherichia coli O157:H7.
199786
4 201050
5 201048
6 201039
7 199239
8 201324
9 201223
10 199723
11
Boilerbaisse: an outbreak of methemoglobinemia in New Jersey in 1992.
199423
12 200921
13 201320
14 199819
15
Congenital syphilis.
199818
16 199817
17 198917
18 201414
19 198614
20 198811

About L. Finelli

L. Finelli is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Surgery and Physiology, having authored 31 papers that have together received 750 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (7 papers), Liver Disease Diagnosis and Treatment (5 papers), COVID-19 epidemiological studies (5 papers), Tuberculosis Research and Epidemiology (3 papers), Infectious Diseases and Tuberculosis (3 papers), Smoking Behavior and Cessation (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Hepatology (135 citations), Endocrinology (76 citations), Epidemiology (448 citations) and Infectious Diseases (208 citations). L. Finelli has collaborated with scholars based in United States, Italy and Mongolia. Frequent co-authors include Kenneth C. Spitalny, Paola Pierri, Antonio Giorgio, Gennaro Lettieri, G. de Stefano, P Amoroso, Vincenzo Scala, Luciano Tarantino, David L. Swerdlow and Gianfranco Pesce. Their work appears in journals such as Epidemiology and Infection, Clinical Infectious Diseases, The Journal of Infectious Diseases, Journal of Clinical Virology and Journal of Hepatology.

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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