Ivan Moschetti

1.5k citations
22 papers · 900 · h-index 13

Impact in

Papers in

Ivan Moschetti

21 papers receiving 865 citations

Peers

Ivan Moschetti
Comparison fields: 5 of 98
  • Statistics, Probability and Uncertainty 95
  • Oncology 142
  • Cancer Research 76
  • Surgery 194
  • Public Health, Environmental and Occupational Health 123
Replace Kylie E Hunter with:
Kylie E Hunter Australia
Doozie Russell United States
Carlos Canelo‐Aybar Spain
Kuo‐Piao Chung Taiwan
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005186
2 2012115
3 2016111
4 200098
5 201667
6 201062
7 200948
8 200639
9 200935
10 201431
11 202127
12 202019
13 200813
14 202012
15 201012
16 20079
17 20117
18 20175
19
of the metaquality cross sectional study primary studies by systematic reviews: results Assessment of methodological quality of
20062
20 20071

About Ivan Moschetti

Ivan Moschetti is a scholar working on General Health Professions, Oncology, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 22 papers that have together received 900 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Clinical practice guidelines implementation (3 papers), Health Sciences Research and Education (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Breast Cancer Treatment Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (95 citations), Oncology (142 citations), Cancer Research (76 citations), Surgery (194 citations) and Public Health, Environmental and Occupational Health (123 citations). Ivan Moschetti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Alessandro Liberati, Lorenzo Moja, Laura Coe, Elena Telaro, Michela Cinquini, Roberto D’Amico, Matteo Lambertini, Nicola Rocco, Alessia Levaggi and Giovanni Persico. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Medical Internet Research, Internal and Emergency Medicine, The Breast and ESMO Open.

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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