Arturo Cuomo

6.7k citations
88 papers · 3.7k indexed · 1 hit paper · h-index 25

Arturo Cuomo

85 papers receiving 3.6k citations

Hit Papers

Features, Evaluation and Treatment Coronavirus (COVID-19)1.9k202020262022202450010001.5k

Peers

Arturo Cuomo
Comparison fields: 5 of 175
  • Anesthesiology and Pain Medicine 422
  • Infectious Diseases 1.1k
  • Modeling and Simulation 246
  • General Dentistry 69
  • Health Informatics 49
Replace Marco Cascella with:
Marco Cascella Italy
Koichi Yuki United States
Raffaela Di Napoli Italy
Huaqing Shu China
Shiying Yuan China
Xiaojing Zou China
Jiqian Xu China
You Shang China
Shangwen Pan China
Zhui Yu China
Arturo Cuomo relative to Marco Cascella Italy Marco Cascella's profile →
Citations per field
00.5×9.2×
Marco Cascella · 1×
Citations per year

Countries citing papers authored by Arturo Cuomo

Since Specialization
Citations

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

Fields of papers citing papers by Arturo Cuomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20233
3 202345
4 20235
5 20231
6 20230
7 202223
8 20224
9 20213
10
Features, Evaluation and Treatment Coronavirus (COVID-19)breakdown →
20201924
11 202034
12 202010
13
Features, Evaluation, and Treatment of Coronavirus
202098
14
Multimodal approaches and tailored therapies for pain management: the trolley analgesic model
201913
15 201915
16 201711
17 201610
18 20169
19 201616
20 201418

About Arturo Cuomo

Arturo Cuomo is a scholar working on Anesthesiology and Pain Medicine, Health Informatics and Developmental Neuroscience, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pain Management and Opioid Use (29 papers), Pain Mechanisms and Treatments (14 papers), Pediatric Pain Management Techniques (13 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers), Pharmacological Effects and Toxicity Studies (9 papers), Anesthesia and Pain Management (7 papers), Musculoskeletal pain and rehabilitation (7 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (422 citations), Infectious Diseases (1.1k citations) and Modeling and Simulation (246 citations). Arturo Cuomo has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Marco Cascella, Michael Rajnik, Raffaela Di Napoli, Scott C. Dulebohn, Sabrina Bimonte, María Rosaria Muzio, Antônio Barbieri, Claudio Arra, Cira Antonietta Forte and Sebastiano Mercadante. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients and International Journal of Environmental Research and Public Health.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026