Giulia Serafini

913 total citations
8 papers, 321 citations indexed

About

Giulia Serafini is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Giulia Serafini has authored 8 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Molecular Medicine. Recurrent topics in Giulia Serafini's work include Sepsis Diagnosis and Treatment (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Giulia Serafini is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Giulia Serafini collaborates with scholars based in Italy, China and United States. Giulia Serafini's co-authors include Stefano Busani, Massimo Girardis, Laura Rinaldi, P Pelaia, Erica Adrario, Abele Donati, Elisa Damiani, Emanuela Biagioni, E. Mantovani and Marta Buoncristiano and has published in prestigious journals such as PLoS ONE, Intensive Care Medicine and European Journal of Clinical Microbiology & Infectious Diseases.

In The Last Decade

Giulia Serafini

8 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Serafini Italy	7	201	76	47	36	33	8	321
Aaron C. Miller United States	13	282 1.4×	37 0.5×	16 0.3×	63 1.8×	80 2.4×	44	641
Chenghua Cao United States	10	95 0.5×	31 0.4×	20 0.4×	16 0.4×	11 0.3×	20	285
Kristina B Kristoffersen Denmark	6	305 1.5×	181 2.4×	39 0.8×	24 0.7×	55 1.7×	9	450
Junyu Wang China	8	188 0.9×	45 0.6×	66 1.4×	51 1.4×	18 0.5×	23	316
Basharat Kasana India	5	208 1.0×	71 0.9×	25 0.5×	86 2.4×	23 0.7×	7	415
Michiel Schinkel Netherlands	13	216 1.1×	41 0.5×	44 0.9×	54 1.5×	106 3.2×	31	800
M. Catalán Spain	14	304 1.5×	55 0.7×	33 0.7×	43 1.2×	16 0.5×	37	670
Kenneth W. Scully United States	12	147 0.7×	25 0.3×	17 0.4×	91 2.5×	25 0.8×	24	422
Olivier Peyrony France	11	115 0.6×	52 0.7×	37 0.8×	19 0.5×	34 1.0×	55	336
Jens Schierbeck Denmark	10	174 0.9×	29 0.4×	103 2.2×	61 1.7×	17 0.5×	24	502

Countries citing papers authored by Giulia Serafini

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Serafini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Serafini

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

All Works

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8 of 8 papers shown

Serafini, Giulia, Ping Yi, Marco Brambilla, et al.. (2020). Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8. 35 indexed citations

Barbadoro, Pamela, Enrica Martini, Sara Savini, et al.. (2017). Checking rounds for isolation precautions in the control of multidrug-resistant organisms: reduction achieved. European Journal of Clinical Microbiology & Infectious Diseases. 36(7). 1105–1109. 2 indexed citations

Busani, Stefano, Giulia Serafini, E. Mantovani, et al.. (2017). Mortality in Patients With Septic Shock by Multidrug Resistant Bacteria. Journal of Intensive Care Medicine. 34(1). 48–54. 42 indexed citations

Busani, Stefano, Erika Roat, Giulia Serafini, et al.. (2017). The Role of Adjunctive Therapies in Septic Shock by Gram Negative MDR/XDR Infections. Canadian Journal of Infectious Diseases and Medical Microbiology. 2017(1995). 1–6. 9 indexed citations

Damiani, Elisa, Abele Donati, Giulia Serafini, et al.. (2015). Effect of Performance Improvement Programs on Compliance with Sepsis Bundles and Mortality: A Systematic Review and Meta-Analysis of Observational Studies. PLoS ONE. 10(5). e0125827–e0125827. 169 indexed citations

Serafini, Giulia, Stefano Busani, Laura Rinaldi, et al.. (2014). Early therapy with IgM-enriched polyclonal immunoglobulin in patients with septic shock. Intensive Care Medicine. 40(12). 1888–1896. 44 indexed citations

Mancini, Nicasio, Filippo Canducci, Silvia Carletti, et al.. (2004). Heterogeneity of the humoral anti-HCV/E2 response in persistently infected patients as demonstrated by divergent patterns of inhibition of the binding of anti-HCV/E2 human monoclonal antibodies.. PubMed. 17(2). 183–7. 10 indexed citations

Burioni, Roberto, Nicasio Mancini, Filippo Canducci, et al.. (2004). Humoral immune response against hepatitis C virus.. PubMed. 17(2). 125–7. 10 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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