Roberto Piciotti

484 citations
15 papers · 317 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • HER2/EGFR in Cancer Research
    • Bone health and treatments

Papers in

Roberto Piciotti

15 papers receiving 314 citations

Peers

Roberto Piciotti
Comparison fields: 5 of 52
  • Cancer Research 76
  • Oncology 128
  • Hepatology 32
  • Epidemiology 92
  • Pathology and Forensic Medicine 36
Replace Margaret Ottaviano with:
Margaret Ottaviano Italy
Šárka Svobodová Czechia
Teruhide Ishigame Japan
Wei Gan China
Brent K. Larson United States
Takahiko Sakaue Japan
Ganxun Li China
Zhi-Qiang Meng China
Roberto Piciotti relative to Margaret Ottaviano Italy Margaret Ottaviano's profile →
Citations per field
00.5×1.5×1.8×
Margaret Ottaviano · 1×
Citations per year

Countries citing papers authored by Roberto Piciotti

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Piciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202182
2 202157
3 202129
4 202126
5 202124
6 202222
7 202119
8 202018
9 20219
10 20218
11 20217
12 20216
13 20225
14 20223
15 20242

About Roberto Piciotti

Roberto Piciotti is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Muscle Physiology and Disorders (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (76 citations), Oncology (128 citations), Hepatology (32 citations), Epidemiology (92 citations) and Pathology and Forensic Medicine (36 citations). Roberto Piciotti has collaborated with scholars based in Italy, Belgium and Spain. Frequent co-authors include Elham Sajjadi, Nicola Fusco, Konstantinos Venetis, Marco Invernizzi, Carmen Criscitiello, Stefania Morganti, Paola Dongiovanni, Marica Meroni, Elena Guerini‐Rocco and Anna Ludovica Fracanzani. Their work appears in journals such as Journal of Clinical Medicine, Cell Death and Disease, Current Opinion in Pharmacology, BMC Cancer and International Journal of Molecular Sciences.

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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