Angelo Tinazzi

1.7k citations
18 papers · 1.2k · h-index 11

Impact in

Papers in

Angelo Tinazzi

18 papers receiving 1.2k citations

Peers

Angelo Tinazzi
Comparison fields: 5 of 86
  • Critical Care and Intensive Care Medicine 224
  • Gastroenterology 95
  • Oncology 416
  • Pulmonary and Respiratory Medicine 434
  • Cancer Research 165
Replace Eric H. Jensen with:
Eric H. Jensen United States
Casey J. Allen United States
Elena Martín‐Pérez Spain
Jochen Lange Switzerland
Thomas Koperna Austria
Ernest J. T. Luiten Netherlands
Mainor R. Antillon United States
Perica Davitkov United States
Fabio Tuzzolino Italy
Andrew E. Chapman United States
Angelo Tinazzi relative to Eric H. Jensen United States Eric H. Jensen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Angelo Tinazzi

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Tinazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998394
2 1998276
3 2000274
4 199881
5 199855
6 200049
7
Biological and clinical features in predicting efficacy of epidermal growth factor receptor tyrosine kinase inhibitors: a systematic review and meta-analysis.
200927
8 200915
9 200913
10 200612
11 199611
12 19947
13 20055
14 19965
15 20082
16
A gentle introduction to survival analysis
20082
17
A gentle introduction to meta-analysis
20072
18 20131

About Angelo Tinazzi

Angelo Tinazzi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hepatology, Statistics, Probability and Uncertainty and Surgery, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Meta-analysis and systematic reviews (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Prostate Cancer Treatment and Research (1 paper), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (224 citations), Gastroenterology (95 citations), Oncology (416 citations), Pulmonary and Respiratory Medicine (434 citations) and Cancer Research (165 citations). Angelo Tinazzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Valter Torri, A. Liberati, Roberto D’Amico, S. Pifferi, Roldano Fossati, E Ghislandi, Vanna Pistotti, Anna Marina Liberati, C Confalonieri and A. Penna. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Annals of Oncology, Investigative Radiology and Cochrane Database of Systematic Reviews.

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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