Florence Fermon

23 papers receiving 879 citations

Peers

Florence Fermon
Comparison fields: 5 of 93
  • Microbiology 375
  • Modeling and Simulation 138
  • Health 238
  • Epidemiology 604
  • Infectious Diseases 148
Replace Zundong Yin with:
Zundong Yin China
Ann Lindstrand Sweden
Robin Biellik United States
Wilhelmina L.M. Ruijs Netherlands
Charlene M.C. Rodrigues United Kingdom
Clayton Chiu Australia
Frank Beard Australia
Edna Kara United States
Susan A. Wang United States
Pratima L. Raghunathan United States
Florence Fermon relative to Zundong Yin China Zundong Yin's profile →
Citations per field
00.5×3.2×
Zundong Yin · 1×
Citations per year

Countries citing papers authored by Florence Fermon

Since Specialization
Citations

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

Fields of papers citing papers by Florence Fermon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013283
2 2006106
3
Refugee health; an approach to emergency situations
199780
4 200468
5 201451
6 200645
7 199742
8 200636
9 200731
10 201427
11 201326
12 201322
13 201122
14 200820
15 201418
16 200618
17 201417
18 20147
19 20126
20 20114

About Florence Fermon

Florence Fermon is a scholar working on Epidemiology, Health, Microbiology, Infectious Diseases and Modeling and Simulation, having authored 25 papers that have together received 937 indexed citations. Recurring topics across this work include Virology and Viral Diseases (14 papers), Vaccine Coverage and Hesitancy (12 papers), Bacterial Infections and Vaccines (9 papers), Pneumonia and Respiratory Infections (6 papers), COVID-19 epidemiological studies (6 papers), Immune responses and vaccinations (2 papers), Viral Infections and Outbreaks Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Microbiology (375 citations), Modeling and Simulation (138 citations), Health (238 citations), Epidemiology (604 citations) and Infectious Diseases (148 citations). Florence Fermon has collaborated with scholars based in France, South Africa and Switzerland. Frequent co-authors include Rebecca F. Grais, Samba O. Sow, Juhani Eskola, Keith P. Klugman, Carol Tévi‐Bénissan, Mary Ramsay, Jon S. Abramson, Zulfiqar A Bhutta, David N Dürrheim and Rabab Jafri. Their work appears in journals such as Transactions of the Royal Society of Tropical Medicine and Hygiene, International Health, PLoS Medicine, Vaccine and Tropical Medicine & International 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.

Explore authors with similar magnitude of impact