Ryan E. Malosh

3.3k citations
41 papers · 1.6k · h-index 20

Impact in

    • COVID-19 epidemiological studies
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

Ryan E. Malosh

41 papers receiving 1.6k citations

Peers

Ryan E. Malosh
Comparison fields: 5 of 126
  • Modeling and Simulation 164
  • Epidemiology 1.0k
  • Infectious Diseases 331
  • Health 110
  • Immunology 123
Replace Richard Pitman with:
Richard Pitman United Kingdom
Ashley Fowlkes United States
Lin Cui Singapore
H Kelly Australia
Ellen Fragaszy United Kingdom
Meredith McMorrow United States
Jiandong Zheng China
Silke Buda Germany
Nicholas S. Kelley United States
Jeffery Cutter Singapore
Ryan E. Malosh relative to Richard Pitman United Kingdom Richard Pitman's profile →
Citations per field
00.5×10×13×
Richard Pitman · 1×
Citations per year

Countries citing papers authored by Ryan E. Malosh

Since Specialization
Citations

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

Fields of papers citing papers by Ryan E. Malosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan E. Malosh. 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 Ryan E. Malosh. The network helps show where Ryan E. Malosh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013142
2 2018135
3 2017121
4 2020114
5 202099
6 201797
7 201481
8 201475
9 201470
10 201364
11 201664
12 201751
13 201651
14 201749
15 201543
16 201538
17 201634
18 201734
19 201723
20 201919

About Ryan E. Malosh

Ryan E. Malosh is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Health and Genetics, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (16 papers), COVID-19 epidemiological studies (8 papers), Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Impact on Reproduction (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Modeling and Simulation (164 citations), Epidemiology (1.0k citations), Infectious Diseases (331 citations), Health (110 citations) and Immunology (123 citations). Ryan E. Malosh has collaborated with scholars based in United States, Hong Kong and Israel. Frequent co-authors include Arnold S. Monto, Joshua G. Petrie, Emily T. Martin, Suzanne E. Ohmit, Mark G. Thompson, Adam S. Lauring, Benjamin J. Cowling, Alicia M. Fry, Amy P. Callear and John T. McCrone. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, Vaccine, Influenza and Other Respiratory Viruses and Epidemiology and Infection.

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.

Explore authors with similar magnitude of impact