U E Schaible
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Dermatological diseases and infestations
Papers in
- Parasitology 11
- Vector-borne infectious diseases 11
- Leptospirosis research and findings 2
-
- Viral Infections and Vectors 7
- Dermatological diseases and infestations 3
- Co-authors
- Markus M. Simon (10 shared papers)Manuel Modolell (2 shared papers)C Muşeţeanu (2 shared papers)Michael D. Kramer (2 shared papers)Lise Gern (2 shared papers)Klaus Eichmann (1 shared paper)Michael D. Kramer (5 shared papers)R Wallich (3 shared papers)
- Journals
- Infection and Immunity (2 papers)Immunology Letters (2 papers)Immunobiology (1 paper)The Journal of Infectious Diseases (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanySwitzerlandCzechia
In The Last Decade
U E Schaible
10 papers receiving 690 citations
Peers
Comparison fields: 5 of 48
- Parasitology 673
- Infectious Diseases 530
- Insect Science 147
- Ecology, Evolution, Behavior and Systematics 163
- Immunology 175
Countries citing papers authored by U E Schaible
This map shows the geographic impact of U E Schaible'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 U E Schaible with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U E Schaible more than expected).
Fields of papers citing papers by U E Schaible
This network shows the impact of papers produced by U E Schaible. 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 U E Schaible. The network helps show where U E Schaible may publish in the future.
Co-authors
The 22 scholars most cited alongside U E Schaible, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 234 | |
| 2 | 1993 | 93 | |
| 3 | 1994 | 83 | |
| 4 | 1990 | 61 | |
| 5 | 1991 | 57 | |
| 6 | 1994 | 53 | |
| 7 | 1993 | 53 | |
| 8 | 1989 | 53 | |
| 9 | A 14,000 MW lipoprotein and a glycolipid-like structure of Borrelia burgdorferi induce proliferation and immunoglobulin production in mouse B cells at high frequencies. | 1994 | 37 |
| 10 | 2008 | 1 | |
| 11 | 2008 | 0 |
About U E Schaible
U E Schaible is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 11 papers that have together received 725 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (11 papers), Viral Infections and Vectors (7 papers), Dermatological diseases and infestations (3 papers), Leptospirosis research and findings (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Zoonotic diseases and public health (2 papers), Mosquito-borne diseases and control (2 papers) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Parasitology (673 citations), Infectious Diseases (530 citations), Insect Science (147 citations), Ecology, Evolution, Behavior and Systematics (163 citations) and Immunology (175 citations). U E Schaible has collaborated with scholars based in Germany, Switzerland and Czechia. Frequent co-authors include Markus M. Simon, Manuel Modolell, C Muşeţeanu, Michael D. Kramer, Lise Gern, Klaus Eichmann, Michael D. Kramer, R Wallich, Reinhard Wallich and S E Moter. Their work appears in journals such as Infection and Immunity, Immunology Letters, Immunobiology, The Journal of Infectious Diseases and Proceedings of the National Academy of Sciences.
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.