Dieter Hassler
- Parasitology top 1%
- Infectious Diseases top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Immunology
- Insect Science top 10%
- Co-authors
- Rainer OehmeMatthias MaiwaldThomas HärtungIsabel DiterichPeter KimmigKathrin HarteltStefan BrockmannH.‐G. Sonntag
- Topics
- Vector-borne infectious diseases (20 papers)Viral Infections and Vectors (14 papers)Vector-Borne Animal Diseases (8 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Dieter Hassler
35 papers receiving 593 citations
Peers
Comparison fields: 5 of 74
- Parasitology 406
- Infectious Diseases 383
- Ecology, Evolution, Behavior and Systematics 166
- Immunology 129
- Insect Science 86
Countries citing papers authored by Dieter Hassler
This map shows the geographic impact of Dieter Hassler'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 Dieter Hassler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Hassler more than expected).
Fields of papers citing papers by Dieter Hassler
This network shows the impact of papers produced by Dieter Hassler. 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 Dieter Hassler. The network helps show where Dieter Hassler may publish in the future.
Co-authorship network of co-authors of Dieter Hassler
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Hassler. A scholar is included among the top collaborators of Dieter Hassler 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 Dieter Hassler. Dieter Hassler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | [El niño and its consequences: outbreak of Rift Valley fever in Kenya]. | 1 |
| 6 | Renaissance of tularaemia. | 1 |
| 7 | 157 | |
| 8 | 37 | |
| 9 | 123 | |
| 10 | [Usutu virus in Austria reminds one of the West Nile virus in the USA]. | 1 |
| 11 | 6 | |
| 12 | [Myocarditis caused by enteroviruses in Greece--and in Germany?]. | 1 |
| 13 | 42 | |
| 14 | Ixodes ventalloi: a new tick record for Germany | 7 |
| 15 | 37 | |
| 16 | [Natural epidemiology of Lyme borreliosis with reference to clustered incidence of illnesses in the suburbs of a North Baden community]. | 2 |
| 17 | 26 | |
| 18 | 4 | |
| 19 | [Nodular panniculitis: a manifestation of Lyme borreliosis?]. | 6 |
| 20 | 50 |
About Dieter Hassler
Dieter Hassler is a scholar working on Parasitology, Infectious Diseases and Virology, having authored 38 papers that have together received 621 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (20 papers), Viral Infections and Vectors (14 papers) and Vector-Borne Animal Diseases (8 papers). The work is most often cited by research in Parasitology (406 citations), Infectious Diseases (383 citations) and Ecology, Evolution, Behavior and Systematics (166 citations). Dieter Hassler has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Rainer Oehme, Matthias Maiwald, Thomas Härtung, Isabel Diterich, Peter Kimmig, Kathrin Hartelt, Stefan Brockmann, H.‐G. Sonntag, Trevor N. Petney and Lothar Zöller. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Microbiology and Infection and Immunity.
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.