Lone Simonsen

27.7k citations
197 papers · 18.2k · 9 hit papers · h-index 66

Impact in

    • COVID-19 epidemiological studies
  • Epidemiology top 0.05%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

    • Influenza Virus Research Studies 98
    • Respiratory viral infections research 34
    • Pneumonia and Respiratory Infections 12
    • COVID-19 epidemiological studies 54

Lone Simonsen

192 papers receiving 17.5k citations

Lone Simonsen's Hit Papers

Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020 2020 · 316 citations
3160+9+18Years since publication250500750

Peers

Lone Simonsen
Comparison fields: 5 of 199
  • Modeling and Simulation 3.7k
  • Epidemiology 10.3k
  • Infectious Diseases 4.4k
  • Health 1.0k
  • Agronomy and Crop Science 879
Replace Arnold S. Monto with:
Arnold S. Monto United States
Benjamin J. Cowling Hong Kong
Cécile Viboud United States
Mark Jit United Kingdom
Frederick G. Hayden United States
David M. Morens United States
David K. Shay United States
Paul K.S. Chan Hong Kong
Weifeng Shi China
Alicia M. Fry United States
Lone Simonsen relative to Arnold S. Monto United States Arnold S. Monto's profile →
Citations per field
00.5×1.5×2.3×
Arnold S. Monto · 1×
Citations per year

Countries citing papers authored by Lone Simonsen

Since Specialization
Citations

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

Fields of papers citing papers by Lone Simonsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing SARS-CoV-2 with SARS-CoV and influenza pandemics
Hit paper breakdown →
2020824
2
Antibody response to influenza vaccination in the elderly: A quantitative review
Hit paper breakdown →
2005817
3
Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza
Hit paper breakdown →
2006643
4
The Japanese Experience with Vaccinating Schoolchildren against Influenza
Hit paper breakdown →
2001642
5
Impact of Influenza on Acute Cardiopulmonary Hospitalizations in Pregnant Women
Hit paper breakdown →
1998548
6
Pandemic versus Epidemic Influenza Mortality: A Pattern of Changing Age Distribution
Hit paper breakdown →
1998525
7
Global Trends in Resistance to Antituberculosis Drugs
Hit paper breakdown →
2001518
8 1997479
9
Global mortality associated with seasonal influenza epidemics: New burden estimates and predictors from the GLaMOR Project
Hit paper breakdown →
2019459
10
Unsafe injections in the developing world and transmission of bloodborne pathogens: a review.
1999454
11 2005424
12 2007393
13 2000376
14 2013321
15
Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020
Hit paper breakdown →
2020316
16 1999314
17 2013298
18
Transmission of hepatitis B, hepatitis C and human immunodeficiency viruses through unsafe injections in the developing world: model-based regional estimates.
1999267
19 2009254
20 1997252

About Lone Simonsen

Lone Simonsen is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 197 papers that have together received 18.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (98 papers), COVID-19 epidemiological studies (54 papers), Respiratory viral infections research (34 papers), Pneumonia and Respiratory Infections (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Outbreaks Research (11 papers), Viral Infections and Vectors (10 papers) and Animal Disease Management and Epidemiology (10 papers). The work is most often cited by research in Modeling and Simulation (3.7k citations), Epidemiology (10.3k citations), Infectious Diseases (4.4k citations), Health (1.0k citations) and Agronomy and Crop Science (879 citations). Lone Simonsen has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Cécile Viboud, Mark A. Miller, Robert J. Taylor, Gerardo Chowell, Karen Goodwin, Lawrence B. Schonberger, Nancy J. Cox, Bryan T. Grenfell, Thomas A. Reichert and Keiji Fukuda. Their work appears in journals such as The Journal of Infectious Diseases, Vaccine, PLoS ONE, PLoS Currents and American Journal of Epidemiology.

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