Jordi Landier
- Small Animals top 2%
- Infectious Diseases and Mycology 10
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 10
- Microbiology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 5
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- Malaria Research and Control 22
- Mosquito-borne diseases and control 18
- Travel-related health issues 6
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- Mycobacterium research and diagnosis 16
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- Hemoglobinopathies and Related Disorders 5
- Co-authors
- François NostenDaniel M. ParkerAung Myint ThuSara EyangohArnaud FontanetLaurent MarsollierAung Pyae PhyoJean Gaudart
- Journals
- Malaria Journal (6 papers)PLoS neglected tropical diseases (6 papers)Emerging infectious diseases (4 papers)
- Partner nations
- FranceUnited KingdomThailand
In The Last Decade
Jordi Landier
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Small Animals 227
- Modeling and Simulation 98
- Microbiology 15
- Infectious Diseases 316
- Public Health, Environmental and Occupational Health 413
Countries citing papers authored by Jordi Landier
This map shows the geographic impact of Jordi Landier'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 Jordi Landier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Landier more than expected).
Fields of papers citing papers by Jordi Landier
This network shows the impact of papers produced by Jordi Landier. 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 Jordi Landier. The network helps show where Jordi Landier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jordi Landier, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 67 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 7 | |
| 13 | RELATIVE CONTRIBUTION OF GENERALIZED EARLY DIAGNOSIS AND TREATMENT AND OF TARGETED MASS TREATMENT TO ELIMINATION OF PLASMODIUM FALCIPARUM MALARIA IN EASTERN MYANMAR | 2017 | 1 |
| 14 | 2017 | 24 | |
| 15 | 2016 | 101 | |
| 16 | 2015 | 18 | |
| 17 | 2014 | 16 | |
| 18 | 2014 | 24 | |
| 19 | 2014 | 47 | |
| 20 | 2014 | 20 |
About Jordi Landier
Jordi Landier is a scholar working on Modeling and Simulation, Small Animals and Microbiology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (18 papers), Mycobacterium research and diagnosis (16 papers), COVID-19 epidemiological studies (10 papers), Infectious Diseases and Mycology (10 papers), Travel-related health issues (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Small Animals (227 citations), Modeling and Simulation (98 citations) and Microbiology (15 citations). Jordi Landier has collaborated with scholars based in France, United Kingdom and Thailand. Frequent co-authors include François Nosten, Daniel M. Parker, Aung Myint Thu, Sara Eyangoh, Arnaud Fontanet, Laurent Marsollier, Aung Pyae Phyo, Jean Gaudart, Jean‐François Guégan and Gilles Delmas. Their work appears in journals such as Malaria Journal, PLoS neglected tropical diseases, Emerging infectious diseases, Scientific Reports and International Journal of Environmental Research and Public 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.