Mario Bavieri

516 citations
7 papers · 365 · h-index 6

Impact in

    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
    • Neuroendocrine Tumor Research Advances

Papers in

    • Lung Cancer Treatments and Mutations 3
    • Lung Cancer Diagnosis and Treatment 1
    • Lung Cancer Research Studies 4
    • Peptidase Inhibition and Analysis 1
    • Colorectal Cancer Treatments and Studies 1

Mario Bavieri

7 papers receiving 355 citations

Peers

Mario Bavieri
Comparison fields: 5 of 28
  • Oncology 189
  • Epidemiology 180
  • Pulmonary and Respiratory Medicine 122
  • Gastroenterology 20
  • Neurology 46
Replace Francesca Pucci with:
Francesca Pucci Italy
K. Lorizzo Italy
Sven‐Petter Haugvik Norway
Naoki Omachi Japan
Max Heckler Germany
Noah Graham United States
Tommaso Pollini Italy
Maria Cristina Conti Bellocchi Italy
Heng‐Nung Koong Singapore
Isabel R. Preeshagul United States
Mario Bavieri relative to Francesca Pucci Italy Francesca Pucci's profile →
Citations per field
00.5×
Francesca Pucci · 1×
Citations per year

Countries citing papers authored by Mario Bavieri

Since Specialization
Citations

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

Fields of papers citing papers by Mario Bavieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2005224
2 200946
3 200344
4 201428
5 202012
6 20136
7 20145

About Mario Bavieri

Mario Bavieri is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Lung Cancer Treatments and Mutations (3 papers), Peptidase Inhibition and Analysis (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Oncology (189 citations), Epidemiology (180 citations), Pulmonary and Respiratory Medicine (122 citations), Gastroenterology (20 citations) and Neurology (46 citations). Mario Bavieri has collaborated with scholars based in Italy and France. Frequent co-authors include Giulio Rossi, Lucia Longo, Mario Migaldi, Alessandro Marchioni, Alberto Cavazza, Nicola Facciolongo, Giuliana Sartori, Uliano Morandi, Nazzarena Bigiani and Leonardo M. Fabbri. Their work appears in journals such as Lung Cancer, Journal of Clinical Oncology, American Journal of Clinical Pathology, Modern Pathology and Tumori Journal.

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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