Ivan Moschetti

22 papers receiving 814 citations

Peers

Ivan Moschetti
Comparison fields: 5 of 75
  • Statistics, Probability and Uncertainty 114
  • General Health Professions 59
  • Oncology 69
  • Critical Care and Intensive Care Medicine 12
  • Public Health, Environmental and Occupational Health 97
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Felmont F. Eaves United States
Johannes Morche Germany
Manraj Nirmal Kaur Canada
Iñaki Gutiérrez‐Ibarluzea Spain
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Christopher James Coroneos Canada
Gregory J. Nason Ireland
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Countries citing papers authored by Ivan Moschetti

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Moschetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005186
2 2016126
3 2012113
4 201672
5 201064
6 200952
7 201148
8 200639
9 201433
10 202131
11 202021
12 202014
13 201012
14 20079
15 20078
16 20118
17 20177
18
of the metaquality cross sectional study primary studies by systematic reviews: results Assessment of methodological quality of
20062
19
Assessing the quality of information recorded on trial registries
20051
20 20071

About Ivan Moschetti

Ivan Moschetti is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Oncology, General Health Professions and Critical Care and Intensive Care Medicine, having authored 23 papers that have together received 849 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Clinical practice guidelines implementation (3 papers), Health Sciences Research and Education (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Hernia repair and management (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (114 citations), General Health Professions (59 citations), Oncology (69 citations), Critical Care and Intensive Care Medicine (12 citations) and Public Health, Environmental and Occupational Health (97 citations). Ivan Moschetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alessandro Liberati, Lorenzo Moja, Michela Cinquini, Matteo Lambertini, Elena Telaro, Roberto D’Amico, Alessia Levaggi, Ludovica Tagliabue, Rita Banzi and Nicola Rocco. Their work appears in journals such as Internal and Emergency Medicine, Cochrane Database of Systematic Reviews, ESMO Open, PLoS Medicine and The Breast.

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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