Rahel Ackermann‐Gäumann
- Infectious Diseases top 10%
- Parasitology top 5%
- Public Health, Environmental and Occupational Health
- Ecology, Evolution, Behavior and Systematics
- Complementary and alternative medicine top 10%
- Co-authors
- Nicole LenzChristian BeuretStephen L. LeibOlivier EnglerReto LienhardRoland ZüstDenise SiegristHulda R. Jónsdóttir
- Topics
- Viral Infections and Vectors (13 papers)Vector-borne infectious diseases (12 papers)Mosquito-borne diseases and control (12 papers)
- Partner nations
- SwitzerlandCzechiaGermany
In The Last Decade
Rahel Ackermann‐Gäumann
19 papers receiving 271 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 153
- Parasitology 131
- Public Health, Environmental and Occupational Health 70
- Ecology, Evolution, Behavior and Systematics 51
- Complementary and alternative medicine 48
Countries citing papers authored by Rahel Ackermann‐Gäumann
This map shows the geographic impact of Rahel Ackermann‐Gäumann'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 Rahel Ackermann‐Gäumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahel Ackermann‐Gäumann more than expected).
Fields of papers citing papers by Rahel Ackermann‐Gäumann
This network shows the impact of papers produced by Rahel Ackermann‐Gäumann. 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 Rahel Ackermann‐Gäumann. The network helps show where Rahel Ackermann‐Gäumann may publish in the future.
Co-authorship network of co-authors of Rahel Ackermann‐Gäumann
This figure shows the co-authorship network connecting the top 25 collaborators of Rahel Ackermann‐Gäumann. A scholar is included among the top collaborators of Rahel Ackermann‐Gäumann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rahel Ackermann‐Gäumann. Rahel Ackermann‐Gäumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 63 | |
| 11 | 5 | |
| 12 | 24 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 63 | |
| 19 | 24 |
About Rahel Ackermann‐Gäumann
Rahel Ackermann‐Gäumann is a scholar working on Parasitology, Infectious Diseases and Modeling and Simulation, having authored 19 papers that have together received 274 indexed citations. Recurring topics across this work include Viral Infections and Vectors (13 papers), Vector-borne infectious diseases (12 papers) and Mosquito-borne diseases and control (12 papers). The work is most often cited by research in Parasitology (131 citations), Infectious Diseases (153 citations) and Complementary and alternative medicine (48 citations). Rahel Ackermann‐Gäumann has collaborated with scholars based in Switzerland, Czechia and Germany. Frequent co-authors include Nicole Lenz, Christian Beuret, Stephen L. Leib, Olivier Engler, Reto Lienhard, Roland Züst, Denise Siegrist, Hulda R. Jónsdóttir, Olivier Rais and Roland Schoop. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.