Roberto Cotellese

31 papers receiving 316 citations

Peers

Roberto Cotellese
Comparison fields: 5 of 82
  • Drug Discovery 1
  • Analytical Chemistry 35
  • Internal Medicine 11
  • Oncology 74
  • Complementary and alternative medicine 20
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B. Müller‐Beckmann United States
Peter L. Jernigan United States
Elisabetta Sotgiu Italy
Yanhuan Feng China
Tsutomu Shimada Japan
Ming Jin China
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Citations per field
00.5×10×17.3×
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Citations per year

Countries citing papers authored by Roberto Cotellese

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Cotellese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201143
2 202235
3 201832
4 202122
5 202219
6 201818
7 201615
8
Movardol® (N-acetylglucosamine, Boswellia serrata, ginger) supplementation in the management of knee osteoarthritis: preliminary results from a 6-month registry study.
201615
9 201911
10 201211
11 202510
12 20189
13 20229
14
A natural pharma standard supplement formulation to control treatment-related toxicity and oxidative stress in genitourinary cancer: a preliminary study.
20178
15
Extracorporeal versus intracorporeal anastomosis after laparoscopic right hemicolectomy: cost-effectiveness analysis.
20208
16 20127
17 20147
18 20206
19 20215
20 20235

About Roberto Cotellese

Roberto Cotellese is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Epidemiology, having authored 34 papers that have together received 322 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Silymarin and Mushroom Poisoning (3 papers), Cancer Treatment and Pharmacology (2 papers), Renal cell carcinoma treatment (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Colorectal Cancer Surgical Treatments (2 papers) and Pharmacological Effects of Medicinal Plants (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Analytical Chemistry (35 citations), Internal Medicine (11 citations), Oncology (74 citations) and Complementary and alternative medicine (20 citations). Roberto Cotellese has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Federico Selvaggi, Gitana María Aceto, Beatrice Feragalli, Teresa Catalano, Mark Dugall, Paolo Innocenti, Morio Hosoi, Domenico Angelucci, Umberto Cornelli and Gianni Belcaro. Their work appears in journals such as Cancers, BMC Geriatrics, Surgery Today, Journal of Pharmaceutical and Biomedical Analysis and BMC Surgery.

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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