Davide Negrini

827 total citations
19 papers, 519 citations indexed

About

Davide Negrini is a scholar working on Infectious Diseases, Surgery and Oncology. According to data from OpenAlex, Davide Negrini has authored 19 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Surgery and 3 papers in Oncology. Recurrent topics in Davide Negrini's work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Davide Negrini is often cited by papers focused on SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Davide Negrini collaborates with scholars based in Italy, United States and Australia. Davide Negrini's co-authors include Mario Plebani, Andrea Padoan, Laura Sciacovelli, Silvia Zuin, Chiara Cosma, Paolo Maria Matricardi, Diego Faggian, Daniela Basso, Giuseppe Lippi and Martina Montagnana and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Davide Negrini

15 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Davide Negrini Italy 10 373 63 59 52 47 19 519
Anupam Sule United States 9 338 0.9× 56 0.9× 35 0.6× 36 0.7× 47 1.0× 41 534
Kai-tai Yao China 4 465 1.2× 71 1.1× 29 0.5× 22 0.4× 49 1.0× 10 636
Aifang Xu China 5 435 1.2× 44 0.7× 31 0.5× 17 0.3× 54 1.1× 10 528
Lei Mai China 4 525 1.4× 114 1.8× 27 0.5× 86 1.7× 55 1.2× 5 681
Zhou Zhou China 7 149 0.4× 39 0.6× 11 0.2× 27 0.5× 59 1.3× 14 318
Honggang Shi China 5 541 1.5× 109 1.7× 26 0.4× 92 1.8× 55 1.2× 6 698
Zhaoxiong Fang China 6 560 1.5× 111 1.8× 30 0.5× 92 1.8× 54 1.1× 9 727
Cuiting Luo China 8 365 1.0× 56 0.9× 14 0.2× 13 0.3× 71 1.5× 18 575
Muhammed Kermali United Kingdom 6 358 1.0× 83 1.3× 27 0.5× 62 1.2× 59 1.3× 9 507

Countries citing papers authored by Davide Negrini

Since Specialization
Citations

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

Fields of papers citing papers by Davide Negrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Negrini

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Negrini. A scholar is included among the top collaborators of Davide Negrini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Davide Negrini. Davide Negrini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Pighi, Laura, Davide Negrini, Eros Radicchi, et al.. (2025). Methadone metabolite (EDDP) crystals in urine: a case report. Scandinavian Journal of Clinical and Laboratory Investigation. 85(1). 87–92.
3.
Danese, Elisa, Andrea Padoan, Davide Negrini, et al.. (2024). Diurnal and day-to-day biological variation of salivary cortisol and cortisone. Clinical Chemistry and Laboratory Medicine (CCLM). 62(11). 2287–2293. 2 indexed citations
4.
Negrini, Davide, et al.. (2024). Investigating the incremental value of urine sediment reporting in emergency medicine with a Sysmex UN urinalysis system. SHILAP Revista de lepidopterología. 5(4). 377–380.
5.
Onorato, Diletta, Davide Negrini, & Giuseppe Lippi. (2024). Laboratory medicine and COVID-19 pandemic impact effects of SARS-CoV-2 pandemic on laboratory medicine. La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine. 20(1). 1 indexed citations
6.
Danese, Elisa, Patricia Lievens, Andrea Padoan, et al.. (2023). Plasma Bile Acid Profiling and Modulation of Secreted Mucin 5AC in Cholangiocarcinoma. International Journal of Molecular Sciences. 24(16). 12794–12794. 2 indexed citations
7.
Negrini, Davide, Elisa Danese, Brandon Michael Henry, Giuseppe Lippi, & Martina Montagnana. (2022). Artificial intelligence at the time of COVID-19: who does the lion’s share?. Clinical Chemistry and Laboratory Medicine (CCLM). 60(12). 1881–1886. 2 indexed citations
8.
Negrini, Davide, et al.. (2022). Homocysteine in coronavirus disease (COVID-19): a systematic literature review. Diagnosis. 9(3). 306–310. 20 indexed citations
9.
Negrini, Davide, et al.. (2022). Heparin: The Journey from Parenteral Agent to Nasal Delivery. Seminars in Thrombosis and Hemostasis. 48(8). 949–954. 9 indexed citations
10.
Salvagno, Gian Luca, Davide Negrini, Laura Pighi, et al.. (2021). Clinical assessment of FREND COVID-19 Ag test in an unselected population referred for routine SARS-CoV-2 testing. 45(4). 395–399.
11.
Negrini, Davide, Andrea Padoan, & Mario Plebani. (2020). Between Web search engines and artificial intelligence: what side is shown in laboratory tests?. Diagnosis. 8(2). 227–232. 4 indexed citations
12.
Negrini, Davide, Andrea Ruzzenente, Fabio Bagante, et al.. (2020). Machine Learning Model Comparison in the Screening of Cholangiocarcinoma Using Plasma Bile Acids Profiles. Diagnostics. 10(8). 551–551. 10 indexed citations
13.
Padoan, Andrea, Francesco Bonfante, Matteo Pagliari, et al.. (2020). Analytical and clinical performances of five immunoassays for the detection of SARS-CoV-2 antibodies in comparison with neutralization activity. EBioMedicine. 62. 103101–103101. 101 indexed citations
14.
Danese, Elisa, Davide Negrini, Simone De Nitto, et al.. (2020). Bile Acids Quantification by Liquid Chromatography–Tandem Mass Spectrometry: Method Validation, Reference Range, and Interference Study. Diagnostics. 10(7). 462–462. 15 indexed citations
15.
Padoan, Andrea, Laura Sciacovelli, Daniela Basso, et al.. (2020). IgA-Ab response to spike glycoprotein of SARS-CoV-2 in patients with COVID-19: A longitudinal study. Clinica Chimica Acta. 507. 164–166. 215 indexed citations
16.
Plebani, Mario, et al.. (2020). Diagnostic performances and thresholds: The key to harmonization in serological SARS-CoV-2 assays?. Clinica Chimica Acta. 509. 1–7. 73 indexed citations
17.
Negrini, Davide, et al.. (2019). Interference of lipemia in samples for routine coagulation testing using a Sysmex CS‐5100 coagulometer. International Journal of Laboratory Hematology. 41(6). 772–777. 10 indexed citations
18.
Danese, Elisa, Gian Luca Salvagno, Davide Negrini, et al.. (2017). Analytical evaluation of three enzymatic assays for measuring total bile acids in plasma using a fully-automated clinical chemistry platform. PLoS ONE. 12(6). e0179200–e0179200. 26 indexed citations
19.
Danese, Elisa, Gian Luca Salvagno, Cantor Tarperi, et al.. (2017). Middle-distance running acutely influences the concentration and composition of serum bile acids: Potential implications for cancer risk?. Oncotarget. 8(32). 52775–52782. 29 indexed citations

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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