Beate Sander
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Parasitology top 2%
- Vector-borne infectious diseases
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 52
-
- COVID-19 epidemiological studies 21
- Co-authors
- Stephen Mac (18 shared papers)Jeffrey C. Kwong (36 shared papers)Mark P. Nelder (7 shared papers)Murray Dale Krahn (20 shared papers)GEORGE A. TOMLINSON (10 shared papers)Hetal Patel (1 shared paper)Samir N. Patel (8 shared papers)Jordan J. Feld (16 shared papers)
- Journals
- PLoS ONE (12 papers)Vaccine (9 papers)CMAJ Open (8 papers)Canadian Medical Association Journal (7 papers)BMJ Open (6 papers)
- Partner nations
- CanadaUnited StatesEthiopia
In The Last Decade
Beate Sander
197 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 207
- Parasitology 253
- Hepatology 254
- Applied Microbiology and Biotechnology 64
- Epidemiology 819
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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 2018 | 113 | |
| 3 | 2016 | 109 | |
| 4 | 2015 | 107 | |
| 5 | 2022 | 105 | |
| 6 | 2018 | 100 | |
| 7 | 2009 | 98 | |
| 8 | 2008 | 93 | |
| 9 | 2020 | 92 | |
| 10 | 2019 | 87 | |
| 11 | 2015 | 81 | |
| 12 | 2017 | 80 | |
| 13 | 2019 | 74 | |
| 14 | 2020 | 74 | |
| 15 | 2010 | 67 | |
| 16 | 2011 | 64 | |
| 17 | 2018 | 51 | |
| 18 | 2003 | 47 | |
| 19 | 2014 | 46 | |
| 20 | 2010 | 45 |
About Beate Sander
Beate Sander is a scholar working on Economics and Econometrics, Modeling and Simulation, Epidemiology, Infectious Diseases and Hepatology, having authored 212 papers that have together received 3.7k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (52 papers), COVID-19 epidemiological studies (21 papers), Influenza Virus Research Studies (18 papers), Hepatitis C virus research (16 papers), Mosquito-borne diseases and control (13 papers), COVID-19 and healthcare impacts (10 papers), Vector-borne infectious diseases (10 papers) and COVID-19 Clinical Research Studies (10 papers). The work is most often cited by research in Modeling and Simulation (207 citations), Parasitology (253 citations), Hepatology (254 citations), Applied Microbiology and Biotechnology (64 citations) and Epidemiology (819 citations). Beate Sander has collaborated with scholars based in Canada, United States and Ethiopia. Frequent co-authors include Stephen Mac, Jeffrey C. Kwong, Mark P. Nelder, Murray Dale Krahn, GEORGE A. TOMLINSON, Hetal Patel, Samir N. Patel, Jordan J. Feld, David Malcolm Joseph Naimark and Elysa Widjaja. Their work appears in journals such as PLoS ONE, Vaccine, CMAJ Open, Canadian Medical Association Journal and BMJ Open.
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.