Moa Rehn
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Parasitology top 10%
- Parasitic Infections and Diagnostics
Papers in
-
- Viral gastroenteritis research and epidemiology 3
- Amoebic Infections and Treatments 2
-
- Data-Driven Disease Surveillance 4
- Co-authors
- Anders Wallensten (4 shared papers)AnnaSara Carnahan (4 shared papers)Ken Eames (3 shared papers)Daniela Paolotti (3 shared papers)Ronald Smallenburg (3 shared papers)Carl Koppeschaar (3 shared papers)Alessandro Vespignani (3 shared papers)Vittoria Colizza (3 shared papers)
- Journals
- Eurosurveillance (7 papers)PLoS ONE (3 papers)Foodborne Pathogens and Disease (1 paper)Journal of Medical Internet Research (1 paper)Clinical Microbiology and Infection (1 paper)
- Partner nations
- SwedenUnited KingdomFrance
In The Last Decade
Moa Rehn
17 papers receiving 421 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 48
- Parasitology 53
- Microbiology 49
- Epidemiology 169
- Virology 20
Countries citing papers authored by Moa Rehn
This map shows the geographic impact of Moa Rehn'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 Moa Rehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moa Rehn more than expected).
Fields of papers citing papers by Moa Rehn
This network shows the impact of papers produced by Moa Rehn. 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 Moa Rehn. The network helps show where Moa Rehn may publish in the future.
Co-authors
The 25 scholars most cited alongside Moa Rehn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 128 | |
| 2 | 2015 | 53 | |
| 3 | 2013 | 47 | |
| 4 | 2014 | 34 | |
| 5 | 2014 | 32 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 23 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2012 | 13 | |
| 11 | 2018 | 10 | |
| 12 | 2014 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Moa Rehn
Moa Rehn is a scholar working on Infectious Diseases, Epidemiology, Food Science, Parasitology and Biotechnology, having authored 18 papers that have together received 439 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Data-Driven Disease Surveillance (4 papers), Listeria monocytogenes in Food Safety (3 papers), Food Safety and Hygiene (3 papers), Parasitic Infections and Diagnostics (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Amoebic Infections and Treatments (2 papers) and Reproductive tract infections research (2 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Parasitology (53 citations), Microbiology (49 citations), Epidemiology (169 citations) and Virology (20 citations). Moa Rehn has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Anders Wallensten, AnnaSara Carnahan, Ken Eames, Daniela Paolotti, Ronald Smallenburg, Carl Koppeschaar, Alessandro Vespignani, Vittoria Colizza, Sharon Kühlmann‐Berenzon and Clément Turbelin. Their work appears in journals such as Eurosurveillance, PLoS ONE, Foodborne Pathogens and Disease, Journal of Medical Internet Research and Clinical Microbiology and Infection.
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.