Tini Garske
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
-
- Mosquito-borne diseases and control 17
- Zoonotic diseases and public health 6
- Malaria Research and Control 6
-
- Viral Infections and Vectors 11
- Viral Infections and Outbreaks Research 6
- Co-authors
- Neil M. Ferguson (21 shared papers)Azra C. Ghani (13 shared papers)Christl A. Donnelly (11 shared papers)Maria D. Van Kerkhove (7 shared papers)Christophe Fraser (6 shared papers)Arran Hamlet (9 shared papers)Sergio Yactayo (3 shared papers)William Perea (2 shared papers)
- Journals
- PLoS ONE (5 papers)PLoS neglected tropical diseases (4 papers)eLife (3 papers)PLoS Currents (2 papers)PLoS Medicine (2 papers)
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
Tini Garske
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 608
- Infectious Diseases 841
- Public Health, Environmental and Occupational Health 887
- Agronomy and Crop Science 168
- Epidemiology 504
Countries citing papers authored by Tini Garske
This map shows the geographic impact of Tini Garske'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 Tini Garske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tini Garske more than expected).
Fields of papers citing papers by Tini Garske
This network shows the impact of papers produced by Tini Garske. 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 Tini Garske. The network helps show where Tini Garske may publish in the future.
Co-authors
The 25 scholars most cited alongside Tini Garske, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 225 | |
| 2 | 2009 | 178 | |
| 3 | 2012 | 120 | |
| 4 | 2015 | 109 | |
| 5 | 2014 | 96 | |
| 6 | 2010 | 88 | |
| 7 | 2015 | 78 | |
| 8 | 2021 | 70 | |
| 9 | 2018 | 61 | |
| 10 | 2017 | 57 | |
| 11 | 2007 | 56 | |
| 12 | 2007 | 54 | |
| 13 | 2013 | 51 | |
| 14 | 2018 | 48 | |
| 15 | 2010 | 43 | |
| 16 | 2008 | 42 | |
| 17 | 2017 | 39 | |
| 18 | 2019 | 37 | |
| 19 | 2020 | 32 | |
| 20 | 2015 | 31 |
About Tini Garske
Tini Garske is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Epidemiology and Agronomy and Crop Science, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Mosquito-borne diseases and control (17 papers), Viral Infections and Vectors (11 papers), Zoonotic diseases and public health (6 papers), Malaria Research and Control (6 papers), Viral Infections and Outbreaks Research (6 papers), Influenza Virus Research Studies (5 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Modeling and Simulation (608 citations), Infectious Diseases (841 citations), Public Health, Environmental and Occupational Health (887 citations), Agronomy and Crop Science (168 citations) and Epidemiology (504 citations). Tini Garske has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Neil M. Ferguson, Azra C. Ghani, Christl A. Donnelly, Maria D. Van Kerkhove, Christophe Fraser, Arran Hamlet, Sergio Yactayo, William Perea, Kévin Jean and Katy A. M. Gaythorpe. Their work appears in journals such as PLoS ONE, PLoS neglected tropical diseases, eLife, PLoS Currents and PLoS Medicine.
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.