Paolo Scarpellini

6.8k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Paolo Scarpellini is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Paolo Scarpellini has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 24 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Paolo Scarpellini's work include Mycobacterium research and diagnosis (13 papers), Tuberculosis Research and Epidemiology (11 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). Paolo Scarpellini is often cited by papers focused on Mycobacterium research and diagnosis (13 papers), Tuberculosis Research and Epidemiology (11 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). Paolo Scarpellini collaborates with scholars based in Italy, United States and United Kingdom. Paolo Scarpellini's co-authors include Adriano Lazzarin, Fausto de Lalla, Roberto Nicolin, Moreno Tresoldi, Giovanni Landoni, Alberto Zangrillo, Luca Vago, Andrea Tettamanti, Paola Cinque and Annika Linde and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Journal of Clinical Microbiology.

In The Last Decade

Paolo Scarpellini

38 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Respiratory Parameters in Patients With COVID-19 After Using Noninvasive Ventilation in the Prone Position Outside the Intensive Care Unit

2020 203 citations Moreno Tresoldi, Paolo Scarpellini et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paolo Scarpellini Italy	20	928	676	302	258	227	41	1.6k
Rami Sommerstein Switzerland	17	726 0.8×	646 1.0×	203 0.7×	252 1.0×	91 0.4×	58	1.7k
Natalia Polanco Spain	18	388 0.4×	546 0.8×	285 0.9×	159 0.6×	176 0.8×	62	1.6k
K. T. Wong Hong Kong	16	545 0.6×	511 0.8×	169 0.6×	326 1.3×	201 0.9×	30	1.4k
Julie Toubiana France	20	651 0.7×	545 0.8×	614 2.0×	260 1.0×	141 0.6×	86	1.8k
Rafael Máñez Spain	32	342 0.4×	934 1.4×	1.0k 3.4×	242 0.9×	109 0.5×	100	2.7k
Ali Bülent Cengiz Türkiye	21	453 0.5×	483 0.7×	295 1.0×	109 0.4×	73 0.3×	156	1.5k
María Carmen Fariñas Spain	25	645 0.7×	1.1k 1.6×	499 1.7×	256 1.0×	93 0.4×	104	2.0k
Yasemin Özsürekçi Türkiye	20	396 0.4×	418 0.6×	297 1.0×	193 0.7×	117 0.5×	135	1.3k
Mayur Ramesh United States	19	994 1.1×	495 0.7×	247 0.8×	74 0.3×	325 1.4×	73	1.4k
Luis Felipe Reyes Colombia	26	831 0.9×	849 1.3×	135 0.4×	291 1.1×	87 0.4×	107	2.0k

Countries citing papers authored by Paolo Scarpellini

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Scarpellini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Scarpellini

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Scarpellini. A scholar is included among the top collaborators of Paolo Scarpellini 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 Paolo Scarpellini. Paolo Scarpellini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Palmisano, Anna, Davide Vignale, Giacomo Ingallina, et al.. (2025). Comprehensive CT study to assess local and systemic involvement in patients with infective endocarditis: experience from a multidisciplinary team of a tertiary referral center. La radiologia medica. 130(3). 302–314.

Ranzenigo, Martina, Alessandra Marzi, Chiara Oltolini, et al.. (2024). Combination of High-Dose Daptomycin and Ceftriaxone for Cardiac Implantable Electronic Device Infections: A 10-Year Experience. Clinical Therapeutics. 46(10). 819–821. 1 indexed citations

Scarpellini, Paolo, et al.. (2024). Management of M. abscessus subsp. abscessus early-onset prosthetic joint infection: Case report and literature review. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 35. 100440–100440. 1 indexed citations

Gona, Floriana, Simone Battaglia, Andrea Spitaleri, et al.. (2022). Detection of NDM-1/5 and OXA-48 co-producing extensively drug-resistant hypervirulent Klebsiella pneumoniae in Northern Italy. Journal of Global Antimicrobial Resistance. 28. 146–150. 29 indexed citations

Chiurlo, Matteo, Andrea Mastrángelo, Marco Ripa, & Paolo Scarpellini. (2021). Invasive fungal infections in patients with COVID-19: a review on pathogenesis, epidemiology, clinical features, treatment, and outcomes.. PubMed. 44(2). 71–83. 35 indexed citations

Ripa, Marco, Stefania Chiappetta, Barbara Castiglioni, et al.. (2021). Impact of surgical timing on survival in patients with infective endocarditis: a time-dependent analysis. European Journal of Clinical Microbiology & Infectious Diseases. 40(6). 1319–1324. 1 indexed citations

Cavalli, Giulio, Alessandro Larcher, Alessandro Tomelleri, et al.. (2021). Interleukin-1 and interleukin-6 inhibition compared with standard management in patients with COVID-19 and hyperinflammation: a cohort study. The Lancet Rheumatology. 3(4). e253–e261. 115 indexed citations

Oltolini, Chiara, Raffaella Greco, Laura Galli, et al.. (2020). Infections after Allogenic Transplant with Post-Transplant Cyclophosphamide: Impact of Donor HLA Matching. Biology of Blood and Marrow Transplantation. 26(6). 1179–1188. 34 indexed citations

Tascini, Carlo, Vittorio Attanasio, Marco Ripa, et al.. (2019). Ceftobiprole for the treatment of infective endocarditis: A case series. Journal of Global Antimicrobial Resistance. 20. 56–59. 34 indexed citations

10.

Greco, Raffaella, Fabio Giglio, Mara Morelli, et al.. (2016). Coadministration of posaconazole and sirolimus in allogeneic hematopoietic stem cell transplant recipients. Bone Marrow Transplantation. 51(7). 1022–1024. 6 indexed citations

11.

Mirabile, Aurora, Chiara Vismara, Fulvio Crippa, et al.. (2015). Health care–associated infections in patients with head and neck cancer treated with chemotherapy and/or radiotherapy. Head & Neck. 38(S1). E1009–13. 5 indexed citations

12.

Baldan, Rossella, Alberto Trovato, Anna Biancardi, et al.. (2015). Clostridium difficile PCR Ribotype 018, a Successful Epidemic Genotype. Journal of Clinical Microbiology. 53(8). 2575–2580. 40 indexed citations

13.

Baldan, Rossella, Paola M. V. Rancoita, Clelia Di Serio, et al.. (2014). Epidemic MRSA clone ST22-IV is more resistant to multiple host- and environment-related stresses compared with ST228-I. Journal of Antimicrobial Chemotherapy. 70(3). 757–765. 17 indexed citations

14.

Modorati, Giulio, Luigi Berchicci, Elisabetta Miserocchi, et al.. (2012). Clinical application of an in-house ELISPOT assay in patients with suspicious tuberculous uveitis and no signs of active tuberculosis. European Journal of Ophthalmology. 22(5). 808–813. 2 indexed citations

15.

Piana, Federica, Luigi Ruffo Codecasa, Laura Galli, et al.. (2006). Comparison of an In-house and a Commercial RD1-based ELISPOT-IFN- Assay for the Diagnosis of Mycobacterium tuberculosis Infection. Clinical Medicine & Research. 4(4). 266–272. 15 indexed citations

16.

Scarpellini, Paolo, et al.. (2004). Selected Pool of Peptides from ESAT-6 and CFP-10 Proteins for Detection of Mycobacterium tuberculosis Infection. Journal of Clinical Microbiology. 42(8). 3469–3474. 37 indexed citations

17.

Vago, Luca, Massimo Barberis, Andrea Gori, et al.. (1998). Nested Polymerase Chain Reaction forMycobacterium tuberculosisIS6110 Sequence on Formalin-Fixed Paraffin-Embedded Tissues With Granulomatous Diseases for Rapid Diagnosis of Tuberculosis. American Journal of Clinical Pathology. 109(4). 411–415. 33 indexed citations

18.

Furci, Lucinda, Alberto Beretta, Antonio G. Siccardi, et al.. (1997). Human Immunodeficiency Virus Type 1 Glycoprotein 120-Specific T Lymphocytes Provide Intermolecular Help for Anti-CD4 Autoantibody Production in Exposed Uninfected Subjects. AIDS Research and Human Retroviruses. 13(17). 1461–1469. 14 indexed citations

19.

Scarpellini, Paolo, et al.. (1995). Nested polymerase chain reaction for diagnosis, and monitoring treatment response in AIDS patients with tuberculous meningitis. AIDS. 9(8). 895–900. 66 indexed citations

20.

Lalla, Fausto de, Gaetano Pierpaolo Privitera, G Ortisi, et al.. (1989). Third generation cephalosporins as a risk factor for Clostridium difficile-associated disease: a four-year survey in a general hospital. Journal of Antimicrobial Chemotherapy. 23(4). 623–631. 57 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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