Elsa Hansen

1.1k citations
17 papers · 633 · h-index 12

Impact in

Papers in

Elsa Hansen

17 papers receiving 620 citations

Peers

Elsa Hansen
Comparison fields: 5 of 113
  • Modeling and Simulation 215
  • Public Health, Environmental and Occupational Health 226
  • Molecular Medicine 34
  • Infectious Diseases 80
  • Genetics 121
Replace A.‐J. Valleron with:
A.‐J. Valleron France
Lindsay Morton United States
Mircea T. Sofonea France
Michael T. Meehan Australia
Jeehyun Lee South Korea
Leonid Chindelevitch Canada
Nathanaël Hozé France
Pablo Ivan Pereira Ramos Brazil
Vahid Rahmanian Iran
Sonja Lehtinen Switzerland
Elsa Hansen relative to A.‐J. Valleron France A.‐J. Valleron's profile →
Citations per field
00.5×2×3.4×
A.‐J. Valleron · 1×
Citations per year

Countries citing papers authored by Elsa Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010131
2 201392
3 201387
4 201785
5 200249
6 202047
7 202031
8 202025
9 201020
10 202018
11 202016
12 201013
13 20137
14 20204
15 20194
16 20203
17 20171

About Elsa Hansen

Elsa Hansen is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Cancer Research and Molecular Medicine, having authored 17 papers that have together received 633 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Evolution and Genetic Dynamics (4 papers), Mathematical Biology Tumor Growth (3 papers), COVID-19 epidemiological studies (3 papers), Malaria Research and Control (3 papers), Antibiotic Resistance in Bacteria (3 papers), Mosquito-borne diseases and control (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Modeling and Simulation (215 citations), Public Health, Environmental and Occupational Health (226 citations), Molecular Medicine (34 citations), Infectious Diseases (80 citations) and Genetics (121 citations). Elsa Hansen has collaborated with scholars based in United States, Canada and Kenya. Frequent co-authors include Troy Day, Andrew F. Read, Robert J. Woods, Caroline O. Buckee, Nathan Eagle, Amy Wesolowski, Robert W. Snow, Carl A. Michal, Manoj T. Duraisingh and Amy K. Bei. Their work appears in journals such as PLoS Biology, Review of Scientific Instruments, Travel Medicine and Infectious Disease, PLoS Computational Biology and Evolutionary Applications.

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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