Roberto Cotellese

75 papers receiving 528 citations

Peers

Roberto Cotellese
Comparison fields: 5 of 91
  • Internal Medicine 29
  • Analytical Chemistry 59
  • Genetics 57
  • Pharmacology 69
  • Molecular Medicine 21
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Pil-Whan Park South Korea
Mitsutaka Kanamaru Japan
Stephen A. Bai United States
Ding Yuan China
Neelam Malik India
Godfrey LaFerla United Kingdom
Dan Gheban Romania
Caroline Pereira Domingueti Brazil
Qiang Yin China
Thomas J. Comstock United States
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Citations per field
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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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201085
2 201739
3 201635
4 202135
5 201328
6 201727
7 201424
8 201719
9 202216
10
Cyanidin reduces preadipocyte differentiation and relative ChREBP expression.
201214
11 201813
12 201412
13 201711
14 201810
15 20209
16 20187
17 20147
18 20217
19 20216
20 20226

About Roberto Cotellese

Roberto Cotellese is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Internal Medicine, Surgery and Oncology, having authored 88 papers that have together received 552 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Urinary Tract Infections Management (3 papers), Cancer Diagnosis and Treatment (3 papers) and Neurological Disorders and Treatments (3 papers). The work is most often cited by research in Internal Medicine (29 citations), Analytical Chemistry (59 citations), Genetics (57 citations), Pharmacology (69 citations) and Molecular Medicine (21 citations). Roberto Cotellese has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Paolo Innocenti, Maura Carlucci, Vincenzo Ferrone, Mark Dugall, Carlo Cellini, Beatrice Feragalli, Rosalinda Madonna, Raffaele De Caterina, Maria Rosaria Cesarone and Morio Hosoi. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Panminerva Medica, Drug Testing and Analysis, International Journal of Colorectal Disease and Evidence-based Complementary and Alternative Medicine.

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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