Ulrich E. Schaible
- Infectious Diseases top 0.1%
- Immunology top 0.5%
- Epidemiology top 0.5%
- Molecular Biology top 2%
- Parasitology top 0.2%
- Co-authors
- Stefan H. E. KaufmannGünter WeißHelen CollinsDavid G. RussellSheila Sturgill-KoszyckiKristine HagensMarkus M. SimonFlorian Winau
- Topics
- Tuberculosis Research and Epidemiology (37 papers)Mycobacterium research and diagnosis (22 papers)Vector-borne infectious diseases (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ulrich E. Schaible
135 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Infectious Diseases 4.4k
- Immunology 3.3k
- Epidemiology 2.8k
- Molecular Biology 2.7k
- Parasitology 1.3k
Countries citing papers authored by Ulrich E. Schaible
This map shows the geographic impact of Ulrich 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 Ulrich 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 Ulrich E. Schaible more than expected).
Fields of papers citing papers by Ulrich E. Schaible
This network shows the impact of papers produced by Ulrich 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 Ulrich E. Schaible. The network helps show where Ulrich E. Schaible may publish in the future.
Co-authorship network of co-authors of Ulrich E. Schaible
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich E. Schaible. A scholar is included among the top collaborators of Ulrich E. Schaible 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 Ulrich E. Schaible. Ulrich E. Schaible 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 | 5 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 34 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | Bedaquiline loaded lipid nanoparticles: a promising candidate for TB treatment | 3 |
| 11 | 17 | |
| 12 | 53 | |
| 13 | 148 | |
| 14 | 54 | |
| 15 | 21 | |
| 16 | 55 | |
| 17 | 44 | |
| 18 | 95 | |
| 19 | 48 | |
| 20 | [Borrelia burgdorferi infection. I. Aspects of basic research, current approach for diagnosis and therapy]. | 3 |
About Ulrich E. Schaible
Ulrich E. Schaible is a scholar working on Infectious Diseases, Endocrinology and Parasitology, having authored 136 papers that have together received 10.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (37 papers), Mycobacterium research and diagnosis (22 papers) and Vector-borne infectious diseases (18 papers). The work is most often cited by research in Infectious Diseases (4.4k citations), Parasitology (1.3k citations) and Immunology (3.3k citations). Ulrich E. Schaible has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stefan H. E. Kaufmann, Günter Weiß, Helen Collins, David G. Russell, Sheila Sturgill-Koszycki, Kristine Hagens, Markus M. Simon, Florian Winau, Stefan Ehlers and Volker Brinkmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.