Katia Koelle

6.9k citations
78 papers · 3.7k indexed · 1 hit paper · h-index 34
Topics
Influenza Virus Research Studies (31 papers)Evolution and Genetic Dynamics (24 papers)COVID-19 epidemiological studies (21 papers)

In The Last Decade

Katia Koelle

74 papers receiving 3.7k citations

Hit Papers

The changing epidemiology of SARS-CoV-22022202620232024202250100150

Peers

Katia Koelle
Comparison fields: 5 of 134
  • Infectious Diseases 1.3k
  • Epidemiology 1.2k
  • Public Health, Environmental and Occupational Health 861
  • Modeling and Simulation 861
  • Genetics 768
Replace Julia R. Gog with:
Julia R. Gog United Kingdom
Maciej F. Boni United Kingdom
Nicholas C. Grassly United Kingdom
Louise Matthews United Kingdom
Darren J. Shaw United Kingdom
Rustom Antia United States
Sunetra Gupta United Kingdom
Samuel Alizon France
Elodie Ghedin United States
Parviez R. Hosseini United States
Katia Koelle relative to Julia R. Gog United Kingdom Julia R. Gog's profile →
Citations per field
00.5×3.5×
Julia R. Gog · 1×
Citations per year

Countries citing papers authored by Katia Koelle

Since Specialization
Citations

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

Fields of papers citing papers by Katia Koelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Koelle

This figure shows the co-authorship network connecting the top 25 collaborators of Katia Koelle. A scholar is included among the top collaborators of Katia Koelle 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 Katia Koelle. Katia Koelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 4
6 19
7 2
8 33
9
The changing epidemiology of SARS-CoV-2breakdown →
177
10 44
11 62
12 2
13 41
14 4
15 27
16 24
17 25
18 71
19 30
20 76

About Katia Koelle

Katia Koelle is a scholar working on Modeling and Simulation, Infectious Diseases and Endocrinology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (31 papers), Evolution and Genetic Dynamics (24 papers) and COVID-19 epidemiological studies (21 papers). The work is most often cited by research in Modeling and Simulation (861 citations), Endocrinology (376 citations) and Infectious Diseases (1.3k citations). Katia Koelle has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mercedes Pascual, Bryan T. Grenfell, Erik Volz, Mohammad Yunus, David A. Rasmussen, Sarah Cobey, Trevor Bedford, Michael A. Martin, Yoshiro Nagao and Xavier Rodó. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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