Mario Bavieri

514 citations
7 papers · 362 · h-index 6

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
    • Neuroendocrine Tumor Research Advances

Papers in

    • Lung Cancer Research Studies 7
    • Colorectal Cancer Treatments and Studies 1
    • Peptidase Inhibition and Analysis 1
    • Lung Cancer Treatments and Mutations 4
    • Lung Cancer Diagnosis and Treatment 2
    • Tracheal and airway disorders 1

Mario Bavieri

7 papers receiving 352 citations

Peers

Mario Bavieri
Comparison fields: 5 of 30
  • Oncology 285
  • Epidemiology 230
  • Neurology 68
  • Pulmonary and Respiratory Medicine 145
  • Gastroenterology 24
Replace Nazzarena Bigiani with:
Nazzarena Bigiani Italy
K. Lorizzo Italy
Naoki Omachi Japan
D. Gregory United Kingdom
Marie-Christine Charpentier France
Shaozhou K. Tian United States
Anshuman Chaturvedi United Kingdom
Noah Graham United States
Tommaso Pollini Italy
Jutta Kappes Germany
Mario Bavieri relative to Nazzarena Bigiani Italy Nazzarena Bigiani's profile →
Citations per field
00.5×
Nazzarena Bigiani · 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 2005221
2 200946
3 200344
4 201428
5 202012
6 20136
7 20145

About Mario Bavieri

Mario Bavieri is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Atomic and Molecular Physics, and Optics and Infectious Diseases, having authored 7 papers that have together received 362 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (7 papers), Neuroendocrine Tumor Research Advances (4 papers), Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Diagnosis and Treatment (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Gyrotron and Vacuum Electronics Research (1 paper), Tracheal and airway disorders (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Oncology (285 citations), Epidemiology (230 citations), Neurology (68 citations), Pulmonary and Respiratory Medicine (145 citations) and Gastroenterology (24 citations). Mario Bavieri has collaborated with scholars based in Italy and France. Frequent co-authors include Giulio Rossi, Alessandro Marchioni, Lucia Longo, Mario Migaldi, Alberto Cavazza, Giuliana Sartori, Nicola Facciolongo, Christian Casali, Laura Schirosi and Nazzarena Bigiani. Their work appears in journals such as Lung Cancer, Journal of Clinical Oncology, Modern Pathology, American Journal of Clinical 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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