Jonas Wachinger
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 14
- Vaccine Coverage and Hesitancy 14
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- Misinformation and Its Impacts 6
- Sex work and related issues 3
- Co-authors
- Shannon A. McMahon (24 shared papers)Kate Bärnighausen (9 shared papers)Mark Donald C. Reñosa (12 shared papers)Till Bärnighausen (13 shared papers)Sarah L Dalglish (1 shared paper)Kerry Scott (2 shared papers)Claudia M. Denkinger (5 shared papers)Simiao Chen (4 shared papers)
- Journals
- BMJ Global Health (5 papers)BMC Public Health (3 papers)Qualitative Health Research (3 papers)BDJ (1 paper)BMJ Open (1 paper)
- Partner nations
- GermanyUnited StatesPhilippines
In The Last Decade
Jonas Wachinger
27 papers receiving 288 citations
Peers
Comparison fields: 5 of 70
- Health 155
- Modeling and Simulation 45
- Health Informatics 12
- Infectious Diseases 95
- Business and International Management 6
Countries citing papers authored by Jonas Wachinger
This map shows the geographic impact of Jonas Wachinger'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 Jonas Wachinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Wachinger more than expected).
Fields of papers citing papers by Jonas Wachinger
This network shows the impact of papers produced by Jonas Wachinger. 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 Jonas Wachinger. The network helps show where Jonas Wachinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Wachinger, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2024 | 28 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Jonas Wachinger
Jonas Wachinger is a scholar working on Health, Sociology and Political Science, Infectious Diseases, Epidemiology and Clinical Psychology, having authored 30 papers that have together received 296 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (14 papers), Misinformation and Its Impacts (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), HIV/AIDS Research and Interventions (4 papers), SARS-CoV-2 detection and testing (4 papers), Innovation and Socioeconomic Development (3 papers), Sex work and related issues (3 papers) and Psychology of Moral and Emotional Judgment (3 papers). The work is most often cited by research in Health (155 citations), Modeling and Simulation (45 citations), Health Informatics (12 citations), Infectious Diseases (95 citations) and Business and International Management (6 citations). Jonas Wachinger has collaborated with scholars based in Germany, United States and Philippines. Frequent co-authors include Shannon A. McMahon, Kate Bärnighausen, Mark Donald C. Reñosa, Till Bärnighausen, Sarah L Dalglish, Kerry Scott, Claudia M. Denkinger, Simiao Chen, Katrina F. Ortblad and Daniel Kibuuka Musoke. Their work appears in journals such as BMJ Global Health, BMC Public Health, Qualitative Health Research, BDJ 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.