Massimo Borelli

48 papers receiving 1.5k citations

Massimo Borelli's Hit Papers

SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence 2020 · 368 citations
3680+2+4Years since publication100200300

Peers

Massimo Borelli
Comparison fields: 5 of 148
  • Modeling and Simulation 171
  • Critical Care and Intensive Care Medicine 133
  • Pulmonary and Respiratory Medicine 538
  • Health, Toxicology and Mutagenesis 228
  • Obstetrics and Gynecology 111
Replace Zhaohui Tong with:
Zhaohui Tong China
Jiao Huang China
Binod Neupane Canada
Gregory E. Tasian United States
Nick Wilson United Kingdom
Anita Patel United States
Soyoung Jeon South Korea
Sandip M. Prasad United States
Nicole White Australia
Massimo Borelli relative to Zhaohui Tong China Zhaohui Tong's profile →
Citations per field
00.5×2.9×
Zhaohui Tong · 1×
Citations per year

Countries citing papers authored by Massimo Borelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Borelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence
Hit paper breakdown →
2020368
2 2020172
3 2012101
4 198571
5 200868
6 200763
7 202055
8 198844
9 201143
10 201641
11 202041
12 200037
13 202029
14 201427
15 199827
16 201526
17 200924
18 201223
19 201123
20 201622

About Massimo Borelli

Massimo Borelli is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Surgery and Obstetrics and Gynecology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (11 papers), Mechanical Circulatory Support Devices (3 papers), Sepsis Diagnosis and Treatment (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), COVID-19 Clinical Research Studies (2 papers), Stuttering Research and Treatment (2 papers), Gestational Diabetes Research and Management (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (171 citations), Critical Care and Intensive Care Medicine (133 citations), Pulmonary and Respiratory Medicine (538 citations), Health, Toxicology and Mutagenesis (228 citations) and Obstetrics and Gynecology (111 citations). Massimo Borelli has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Alessia Di Gilio, Jolanda Palmisani, Pierluigi Barbieri, Gianluigi de Gennaro, Prisco Piscitelli, Maria Grazia Perrone, Leonardo Setti, Fabrizio Passarini, Alessandro Miani and Umberto Lucangelo. Their work appears in journals such as Critical Care Medicine, Journal of Workplace Learning, Intensive Care Medicine, Journal of Clinical Medicine and Aging Clinical and Experimental Research.

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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