Michael Maschio

588 citations
30 papers · 400 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 4
    • Vaccine Coverage and Hesitancy 10

Michael Maschio

28 papers receiving 394 citations

Peers

Michael Maschio
Comparison fields: 5 of 58
  • Modeling and Simulation 78
  • Health 110
  • Infectious Diseases 133
  • Epidemiology 134
  • Cardiology and Cardiovascular Medicine 66
Replace Jason K. H. Lee with:
Jason K. H. Lee Canada
Nikolaos Spanakis Greece
Sarah Geoghegan Ireland
Ali Nizar Latif Qatar
Marielle Fricchione United States
Farheen Malik Pakistan
Marina Bakker Netherlands
Harshwardhan Khandait United States
Dimple Chudasama United Kingdom
М. П. Костинов Russia
Michael Maschio relative to Jason K. H. Lee Canada Jason K. H. Lee's profile →
Citations per field
00.5×3.9×
Jason K. H. Lee · 1×
Citations per year

Countries citing papers authored by Michael Maschio

Since Specialization
Citations

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

Fields of papers citing papers by Michael Maschio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 200959
3 201534
4 201330
5 201624
6 201120
7 202316
8 202116
9 201614
10 202212
11 202110
12 20239
13 20098
14 20148
15 20156
16 20225
17 20184
18 20224
19 20174
20 20153

About Michael Maschio

Michael Maschio is a scholar working on Epidemiology, Health, Oncology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 400 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (10 papers), Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Neutropenia and Cancer Infections (5 papers), Viral Infections and Immunology Research (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Respiratory viral infections research (4 papers) and Economic and Financial Impacts of Cancer (3 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Health (110 citations), Infectious Diseases (133 citations), Epidemiology (134 citations) and Cardiology and Cardiovascular Medicine (66 citations). Michael Maschio has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Milton C. Weinstein, Michele Kohli, Michael Drummond, Ayman Chit, Carlos A. DiazGranados, J Mould-Quevedo, Deborah A. Marshall, Martín Cowie, Shannon Cartier and Luc De Roy. Their work appears in journals such as Journal of Medical Economics, Vaccines, Value in Health, PharmacoEconomics and Human Vaccines & Immunotherapeutics.

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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