Michael Maschio

605 citations
31 papers · 403 · h-index 11

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 8
    • Influenza Virus Research Studies 7
    • Pneumonia and Respiratory Infections 3
    • Respiratory viral infections research 3

Michael Maschio

28 papers receiving 397 citations

Peers

Michael Maschio
Comparison fields: 5 of 47
  • Modeling and Simulation 41
  • Health 57
  • Infectious Diseases 87
  • Epidemiology 113
  • Cardiology and Cardiovascular Medicine 59
Replace Shinsuke Miyano with:
Shinsuke Miyano Japan
Jeremy Smith United States
Jason K. H. Lee Canada
Bayzid Rahman Australia
Farheen Malik Pakistan
Marita Zimmermann United States
Marisa Langdon-Embry United States
Salum J. Lidenge Tanzania
Marie-Joëlle Jabagi France
Ali Nizar Latif Qatar
Michael Maschio relative to Shinsuke Miyano Japan Shinsuke Miyano's profile →
Citations per field
00.5×4.6×
Shinsuke Miyano · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202199
2 200960
3 201534
4 201330
5 201624
6 201120
7 202316
8 202116
9 201614
10 202213
11 202110
12 20239
13 20148
14 20098
15 20156
16 20225
17 20224
18 20184
19 20174
20 20203

About Michael Maschio

Michael Maschio is a scholar working on Infectious Diseases, Epidemiology, Oncology, Health and Economics and Econometrics, having authored 31 papers that have together received 403 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Influenza Virus Research Studies (7 papers), Vaccine Coverage and Hesitancy (6 papers), Neutropenia and Cancer Infections (5 papers), Pneumonia and Respiratory Infections (3 papers), Respiratory viral infections research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Economic and Financial Impacts of Cancer (3 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Health (57 citations), Infectious Diseases (87 citations), Epidemiology (113 citations) and Cardiology and Cardiovascular Medicine (59 citations). Michael Maschio has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Milton C. Weinstein, Michele Kohli, Debbie Becker, Michael Drummond, Carlos A. DiazGranados, Ayman Chit, J Mould-Quevedo, Nicole Ferko, Yves Verboven and Frieder Braunschweig. Their work appears in journals such as Journal of Medical Economics, Value in Health, Vaccines, 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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