Arnold S. Monto

1.3k total citations · 1 hit paper
6 papers, 956 citations indexed

About

Arnold S. Monto is a scholar working on Epidemiology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Arnold S. Monto has authored 6 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 1 paper in Infectious Diseases and 1 paper in Sociology and Political Science. Recurrent topics in Arnold S. Monto's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and Sex work and related issues (1 paper). Arnold S. Monto is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and Sex work and related issues (1 paper). Arnold S. Monto collaborates with scholars based in United States, Netherlands and United Kingdom. Arnold S. Monto's co-authors include Michael J. Elliott, Michael W. Colopy, Stefan Gravenstein, Jo Ellen Schweinle, D. Paul Robinson, Adam Crisp, M. Louise Herlocher, James M. Hinson, H. F. Maassab and Michael Hassman and has published in prestigious journals such as JAMA, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Arnold S. Monto

6 papers receiving 913 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical Signs and Symptoms Predicting Influenza Infection

2000 552 citations Arnold S. Monto, Stefan Gravenstein et al. Archives of Internal Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arnold S. Monto United States	6	821	246	94	75	66	6	956
A. Klimov United States	11	846 1.0×	273 1.1×	80 0.9×	44 0.6×	112 1.7×	17	966
James McMenamin United Kingdom	10	636 0.8×	289 1.2×	140 1.5×	104 1.4×	23 0.3×	18	844
Bonnie C. K. Wong Hong Kong	11	977 1.2×	372 1.5×	94 1.0×	151 2.0×	47 0.7×	16	1.2k
Ana Navascués Spain	18	503 0.6×	438 1.8×	143 1.5×	71 0.9×	34 0.5×	67	911
L. Finelli United States	11	603 0.7×	195 0.8×	64 0.7×	64 0.9×	20 0.3×	23	747
Concepción Grajales-Muñíz Mexico	9	411 0.5×	308 1.3×	136 1.4×	25 0.3×	40 0.6×	36	706
Sonia Tamames Spain	18	466 0.6×	164 0.7×	102 1.1×	46 0.6×	20 0.3×	52	700
L. Finelli United States	17	448 0.5×	208 0.8×	93 1.0×	80 1.1×	32 0.5×	31	750
Somrak Chantra Thailand	14	550 0.7×	175 0.7×	39 0.4×	68 0.9×	26 0.4×	17	644
J. Kevin Yin Australia	17	506 0.6×	197 0.8×	65 0.7×	44 0.6×	20 0.3×	35	697

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

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6 of 6 papers shown

1.

Segaloff, Hannah E., Joshua G. Petrie, Ryan E. Malosh, et al.. (2018). Severe morbidity among hospitalised adults with acute influenza and other respiratory infections: 2014–2015 and 2015–2016. Epidemiology and Infection. 146(11). 1350–1358. 18 indexed citations

2.

Monto, Arnold S., et al.. (2008). Seasonal and Pandemic Influenza: A 2007 Update on Challenges and Solutions. Clinical Infectious Diseases. 46(7). 1024–1031. 29 indexed citations

3.

Welliver, Charles, et al.. (2001). OSELTAMIVIR POST EXPOSURE PROPHYLAXIS INVESTIGATOR GROUP. EFFECTIVENESS OF OSELTAMIVIR IN PREVENTING INFLUENZA IN HOUSEHOLD CONTACTS: A RANDOMIZED CONTROLLED TRIAL. 285(6). 748–754. 53 indexed citations

4.

Monto, Arnold S., Stefan Gravenstein, Michael J. Elliott, Michael W. Colopy, & Jo Ellen Schweinle. (2000). Clinical Signs and Symptoms Predicting Influenza Infection. Archives of Internal Medicine. 160(21). 3243–3243. 552 indexed citations breakdown →

5.

Monto, Arnold S., D. Paul Robinson, M. Louise Herlocher, et al.. (1999). Zanamivir in the Prevention of Influenza Among Healthy Adults. JAMA. 282(1). 31–31. 233 indexed citations

6.

Monto, Arnold S. & H. F. Maassab. (1981). Ether treatment of type B influenza virus antigen for the hemagglutination inhibition test. Journal of Clinical Microbiology. 13(1). 54–57. 71 indexed citations

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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