Ottavia Bernocchi

600 citations
14 papers · 316 · h-index 7

Impact in

Papers in

    • Cancer-related Molecular Pathways 2
    • Inflammatory Biomarkers in Disease Prognosis 1
    • Metabolism, Diabetes, and Cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2

Ottavia Bernocchi

14 papers receiving 314 citations

Peers

Ottavia Bernocchi
Comparison fields: 5 of 56
  • Geriatrics and Gerontology 46
  • Oncology 127
  • Pulmonary and Respiratory Medicine 86
  • Cancer Research 40
  • Physiology 12
Replace Shaoming Song with:
Shaoming Song China
Keiko Tanimura Japan
Qiuju Fan China
Sofia Giacosa France
Beatrice Conti Italy
Guolin Chai China
Susanne van Schelven Netherlands
Stacey L. Lehman United States
Weiyuan Wei China
Ottavia Bernocchi relative to Shaoming Song China Shaoming Song's profile →
Citations per field
00.5×4.4×
Shaoming Song · 1×
Citations per year

Countries citing papers authored by Ottavia Bernocchi

Since Specialization
Citations

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

Fields of papers citing papers by Ottavia Bernocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019122
2 201658
3 202144
4 202136
5 202013
6 202011
7 20236
8 20216
9 20206
10 20205
11 20205
12 20202
13 20171
14 20171

About Ottavia Bernocchi

Ottavia Bernocchi is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 14 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer-related Molecular Pathways (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Pharmaceutical Economics and Policy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Geriatrics and Gerontology (46 citations), Oncology (127 citations), Pulmonary and Respiratory Medicine (86 citations), Cancer Research (40 citations) and Physiology (12 citations). Ottavia Bernocchi has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Daniele Generali, Silvia Paola Corona, Marianna Sirico, Navid Sobhani, Giandomenico Roviello, Tobias Otto, Alberto D’Angelo, Anna Ianza, Alessio Colombo and Gianluigi Forloni. Their work appears in journals such as Annals of Oncology, Tumor Biology, Journal of Alzheimer s Disease, Breast Cancer Research and Treatment and Cancers.

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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