Bernd Schimanski
Impact in
- Epidemiology top 5%
- Trypanosoma species research and implications
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- Research on Leishmaniasis Studies
Papers in
- Epidemiology 27
- Trypanosoma species research and implications 26
-
- Biochemical and Molecular Research 8
- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 4
- Signaling Pathways in Disease 3
- Co-authors
- Arthur GünzlTu N. NguyenIsabel RoditiHuimin ChungPei-Tseng LeeThomas BrudererMary Gwo-Shu LeeManfred Heller
- Journals
- PLoS Pathogens (5 papers)Eukaryotic Cell (5 papers)Nucleic Acids Research (4 papers)Molecular Microbiology (3 papers)Molecular and Biochemical Parasitology (3 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Bernd Schimanski
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 45
- Epidemiology 868
- Public Health, Environmental and Occupational Health 449
- Parasitology 73
- Molecular Biology 736
- Insect Science 107
Countries citing papers authored by Bernd Schimanski
This map shows the geographic impact of Bernd Schimanski'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 Bernd Schimanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Schimanski more than expected).
Fields of papers citing papers by Bernd Schimanski
This network shows the impact of papers produced by Bernd Schimanski. 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 Bernd Schimanski. The network helps show where Bernd Schimanski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernd Schimanski, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 14 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 28 | |
| 10 | 2013 | 37 | |
| 11 | 2011 | 100 | |
| 12 | 2009 | 25 | |
| 13 | 2007 | 53 | |
| 14 | 2007 | 31 | |
| 15 | 2006 | 44 | |
| 16 | 2006 | 32 | |
| 17 | 2005 | 88 | |
| 18 | 2004 | 4 | |
| 19 | 2004 | 35 | |
| 20 | 2003 | 22 |
About Bernd Schimanski
Bernd Schimanski is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Physiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (26 papers), Biochemical and Molecular Research (8 papers), Research on Leishmaniasis Studies (8 papers), Cardiomyopathy and Myosin Studies (7 papers), RNA modifications and cancer (5 papers), Lysosomal Storage Disorders Research (5 papers), Mitochondrial Function and Pathology (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Epidemiology (868 citations), Public Health, Environmental and Occupational Health (449 citations), Parasitology (73 citations), Molecular Biology (736 citations) and Insect Science (107 citations). Bernd Schimanski has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Arthur Günzl, Tu N. Nguyen, Isabel Roditi, Huimin Chung, Pei-Tseng Lee, Thomas Bruderer, Mary Gwo-Shu Lee, Manfred Heller, Sandro Käser and Marina Cristodero. Their work appears in journals such as PLoS Pathogens, Eukaryotic Cell, Nucleic Acids Research, Molecular Microbiology and Molecular and Biochemical Parasitology.
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.