F Simón

1.7k citations
78 papers · 1.3k · h-index 20

Impact in

Papers in

    • Viral Infections and Vectors 6
    • Viral Infections and Outbreaks Research 5
    • Viral gastroenteritis research and epidemiology 5
    • Data-Driven Disease Surveillance 8

F Simón

74 papers receiving 1.2k citations

Peers

F Simón
Comparison fields: 5 of 129
  • Virology 97
  • Infectious Diseases 295
  • Hepatology 101
  • Biotechnology 119
  • Modeling and Simulation 59
Replace Pia D. M. MacDonald with:
Pia D. M. MacDonald United States
Kate Hendricks United States
Stefan Brockmann Germany
Amira Roess United States
Noreen A. Hynes United States
Daniela Schmid Austria
Rosaline Dhara United States
Louisa J. Castrodale United States
M Samuel United States
Tara C. Anderson United States
F Simón relative to Pia D. M. MacDonald United States Pia D. M. MacDonald's profile →
Citations per field
00.5×1.5×2.0×
Pia D. M. MacDonald · 1×
Citations per year

Countries citing papers authored by F Simón

Since Specialization
Citations

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

Fields of papers citing papers by F Simón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 201291
3 200588
4 200569
5 202169
6 202259
7 200852
8 201547
9 200447
10
Trend and seasonality of tuberculosis in Spain, 1996-2004.
200842
11 202138
12 201037
13 201234
14 201032
15 201424
16 201623
17 201522
18 199621
19 201221
20 202220

About F Simón

F Simón is a scholar working on Infectious Diseases, Epidemiology, Food Science, Public Health, Environmental and Occupational Health and Virology, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Data-Driven Disease Surveillance (8 papers), Climate Change and Health Impacts (7 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Outbreaks Research (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Virology (97 citations), Infectious Diseases (295 citations), Hepatology (101 citations), Biotechnology (119 citations) and Modeling and Simulation (59 citations). F Simón has collaborated with scholars based in Spain, France and Sweden. Frequent co-authors include Gonzalo López‐Abente, J C Desenclos, Alicia Llácer, Iñaki Galán, Michela Sonego, Henriette de Valk, Véronique Vaillant, Ferrán Martínez Navarro, Jacques Fabry and Jacques Izopet. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Brain Research, ˜The œNephron journals/Nephron journals and Geospatial health.

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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