Simone De Nitto

680 citations
24 papers · 336 · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • SARS-CoV-2 and COVID-19 Research 15
    • SARS-CoV-2 detection and testing 9
    • COVID-19 Clinical Research Studies 8
    • Advanced biosensing and bioanalysis techniques 4

Simone De Nitto

21 papers receiving 330 citations

Peers

Simone De Nitto
Comparison fields: 5 of 57
  • Infectious Diseases 254
  • Internal Medicine 38
  • Hematology 44
  • Neurology 40
  • Animal Science and Zoology 24
Replace Angela Huynh with:
Angela Huynh Canada
Eleftheria Kampouri Switzerland
Pavel Kotouček United Kingdom
Nonantzin Beristain‐Covarrubias United Kingdom
Natalia Egri Spain
Tina Marinelli Australia
Marianne Graninger Austria
Feng‐Zeng Li China
Adam Flaczyk United States
A Merlat France
Simone De Nitto relative to Angela Huynh Canada Angela Huynh's profile →
Citations per field
00.5×4.8×
Angela Huynh · 1×
Citations per year

Countries citing papers authored by Simone De Nitto

Since Specialization
Citations

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

Fields of papers citing papers by Simone De Nitto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simone De Nitto. 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 Simone De Nitto. The network helps show where Simone De Nitto may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 202163
3 202136
4 202126
5 202015
6 202114
7 202210
8 202010
9 20208
10 20215
11 20223
12 20213
13 20213
14 20223
15 20243
16 20213
17 20232
18 20212
19 20201
20 20231

About Simone De Nitto

Simone De Nitto is a scholar working on Infectious Diseases, Molecular Biology, Biomedical Engineering, Surgery and Animal Science and Zoology, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), SARS-CoV-2 detection and testing (9 papers), COVID-19 Clinical Research Studies (8 papers), Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Animal Virus Infections Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Infectious Diseases (254 citations), Internal Medicine (38 citations), Hematology (44 citations), Neurology (40 citations) and Animal Science and Zoology (24 citations). Simone De Nitto has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Giuseppe Lippi, Gian Luca Salvagno, Laura Pighi, Brandon Michael Henry, Damiano Bragantini, Marco Benati, Cristiano Fava, Pietro Minuz, Elisa Danese and Francesco Dima. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Diagnosis, Arteriosclerosis Thrombosis and Vascular Biology, Chronobiology International and Seminars in Thrombosis and Hemostasis.

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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