Beate Sander
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
- Epidemiology 48
- Influenza Virus Research Studies 16
- Pneumonia and Respiratory Infections 12
- Hepatitis B Virus Studies 9
- Co-authors
- Stephen Mac (18 shared papers)Jeffrey C. Kwong (34 shared papers)Murray Krahn (21 shared papers)Mark P. Nelder (7 shared papers)Chris T. Bauch (6 shared papers)David N. Fisman (8 shared papers)Samir N. Patel (8 shared papers)George Tomlinson (9 shared papers)
- Journals
- PLoS ONE (12 papers)Vaccine (9 papers)CMAJ Open (6 papers)Value in Health (6 papers)Canadian Medical Association Journal (6 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Beate Sander
193 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 145
- Modeling and Simulation 340
- Infectious Diseases 692
- Parasitology 232
- Epidemiology 939
- Hepatology 207
Countries citing papers authored by Beate Sander
This map shows the geographic impact of Beate Sander'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 Beate Sander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Sander more than expected).
Fields of papers citing papers by Beate Sander
This network shows the impact of papers produced by Beate Sander. 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 Beate Sander. The network helps show where Beate Sander may publish in the future.
Co-authors
The 25 scholars most cited alongside Beate Sander, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 113 | |
| 2 | 2018 | 104 | |
| 3 | 2016 | 102 | |
| 4 | 2009 | 97 | |
| 5 | 2008 | 91 | |
| 6 | 2015 | 90 | |
| 7 | 2022 | 86 | |
| 8 | 2020 | 84 | |
| 9 | 2019 | 82 | |
| 10 | 2015 | 82 | |
| 11 | 2018 | 79 | |
| 12 | 2017 | 78 | |
| 13 | 2019 | 70 | |
| 14 | 2020 | 69 | |
| 15 | 2011 | 64 | |
| 16 | 2010 | 63 | |
| 17 | 2003 | 50 | |
| 18 | 2018 | 48 | |
| 19 | 2014 | 45 | |
| 20 | 2010 | 45 |
About Beate Sander
Beate Sander is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health and Hepatology, having authored 206 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (16 papers), Mosquito-borne diseases and control (16 papers), Hepatitis C virus research (14 papers), Pneumonia and Respiratory Infections (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Vector-borne infectious diseases (10 papers) and Hepatitis B Virus Studies (9 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Infectious Diseases (692 citations), Parasitology (232 citations), Epidemiology (939 citations) and Hepatology (207 citations). Beate Sander has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stephen Mac, Jeffrey C. Kwong, Murray Krahn, Mark P. Nelder, Chris T. Bauch, David N. Fisman, Samir N. Patel, George Tomlinson, Gebremedhin Beedemariam Gebretekle and Andreas Maetzel. Their work appears in journals such as PLoS ONE, Vaccine, CMAJ Open, Value in Health and Canadian Medical Association Journal.
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.