Arnold S. Monto

1.3k citations
6 papers · 956 indexed · 1 hit paper · h-index 6
Topics
Influenza Virus Research Studies (5 papers)Respiratory viral infections research (3 papers)Sex work and related issues (1 paper)

In The Last Decade

Arnold S. Monto

6 papers receiving 913 citations

Hit Papers

Clinical Signs and Symptoms Predicting Influenza Infection20002026200820172000100200300400500

Peers

Arnold S. Monto
Comparison fields: 5 of 92
  • Epidemiology 821
  • Infectious Diseases 246
  • Modeling and Simulation 94
  • Pulmonary and Respiratory Medicine 75
  • Agronomy and Crop Science 66
Replace James McMenamin with:
James McMenamin United Kingdom
Bonnie C. K. Wong Hong Kong
L. Finelli United States
L. Finelli United States
A. Klimov United States
Concepción Grajales-Muñíz Mexico
Lok‐Yee So China
Somrak Chantra Thailand
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Julia Fitzner Switzerland
Arnold S. Monto relative to James McMenamin United Kingdom James McMenamin's profile →
Citations per field
00.5×2.9×
James McMenamin · 1×
Citations per year

Countries citing papers authored by Arnold S. Monto

Since Specialization
Citations

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

Fields of papers citing papers by Arnold S. Monto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnold S. Monto. 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 Arnold S. Monto. The network helps show where Arnold S. Monto may publish in the future.

Co-authorship network of co-authors of Arnold S. Monto

This figure shows the co-authorship network connecting the top 25 collaborators of Arnold S. Monto. A scholar is included among the top collaborators of Arnold S. Monto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arnold S. Monto. Arnold S. Monto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 18
2 29
3
OSELTAMIVIR POST EXPOSURE PROPHYLAXIS INVESTIGATOR GROUP. EFFECTIVENESS OF OSELTAMIVIR IN PREVENTING INFLUENZA IN HOUSEHOLD CONTACTS: A RANDOMIZED CONTROLLED TRIAL
53
4
Clinical Signs and Symptoms Predicting Influenza Infectionbreakdown →
552
5 233
6 71

About Arnold S. Monto

Arnold S. Monto is a scholar working on Modeling and Simulation, Epidemiology and Agronomy and Crop Science, having authored 6 papers that have together received 956 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and Sex work and related issues (1 paper). The work is most often cited by research in Epidemiology (821 citations), Modeling and Simulation (94 citations) and Infectious Diseases (246 citations). Arnold S. Monto has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Michael J. Elliott, Stefan Gravenstein, Jo Ellen Schweinle, Michael W. Colopy, Adam Crisp, James M. Hinson, M. Louise Herlocher, D. Paul Robinson, H. F. Maassab and James Hedrick. Their work appears in journals such as JAMA, Clinical Infectious Diseases and Journal of Clinical Microbiology.

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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