Mario Recker
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Mosquito-borne diseases and control
- Malaria Research and Control
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in ⓘ
-
- Malaria Research and Control 25
- Mosquito-borne diseases and control 18
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- Viral Infections and Vectors 12
- Antimicrobial Resistance in Staphylococcus 9
- Co-authors
- Sunetra Gupta (15 shared papers)José Lourenço (8 shared papers)Chris Newbold (4 shared papers)Caroline O. Buckee (6 shared papers)István Z. Kiss (1 shared paper)Peter Šimon (1 shared paper)Jackie Cassell (1 shared paper)Ruth C. Massey (9 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)eLife (4 papers)PLoS ONE (4 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Mario Recker
50 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 119
- Modeling and Simulation 325
- Public Health, Environmental and Occupational Health 1.2k
- Infectious Diseases 623
- Molecular Medicine 110
- Microbiology 127
Countries citing papers authored by Mario Recker
This map shows the geographic impact of Mario Recker'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 Mario Recker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Recker more than expected).
Fields of papers citing papers by Mario Recker
This network shows the impact of papers produced by Mario Recker. 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 Mario Recker. The network helps show where Mario Recker may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Recker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 184 | |
| 2 | 2005 | 173 | |
| 3 | 2009 | 171 | |
| 4 | 2019 | 129 | |
| 5 | 2004 | 129 | |
| 6 | 2009 | 117 | |
| 7 | 2008 | 100 | |
| 8 | 2011 | 95 | |
| 9 | 2017 | 87 | |
| 10 | 2007 | 79 | |
| 11 | 2014 | 74 | |
| 12 | 2010 | 70 | |
| 13 | 2006 | 68 | |
| 14 | 2012 | 61 | |
| 15 | 2017 | 60 | |
| 16 | 2010 | 56 | |
| 17 | 2013 | 44 | |
| 18 | 2010 | 39 | |
| 19 | 2013 | 35 | |
| 20 | 2021 | 34 |
About Mario Recker
Mario Recker is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics, Immunology and Molecular Biology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Malaria Research and Control (25 papers), Mosquito-borne diseases and control (18 papers), Evolution and Genetic Dynamics (12 papers), Viral Infections and Vectors (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers), COVID-19 epidemiological studies (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Complement system in diseases (5 papers). The work is most often cited by research in Modeling and Simulation (325 citations), Public Health, Environmental and Occupational Health (1.2k citations), Infectious Diseases (623 citations), Molecular Medicine (110 citations) and Microbiology (127 citations). Mario Recker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sunetra Gupta, José Lourenço, Chris Newbold, Caroline O. Buckee, István Z. Kiss, Peter Šimon, Jackie Cassell, Ruth C. Massey, Sean Nee and Cameron P. Simmons. Their work appears in journals such as PLoS neglected tropical diseases, eLife, PLoS ONE, Nature Communications 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.