Sascha Kießlich
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
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- Virus-based gene therapy research
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Outbreaks Research 4
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- Viral Infectious Diseases and Gene Expression in Insects 3
- Microbial Metabolic Engineering and Bioproduction 3
- Co-authors
- Amine Kamen (8 shared papers)Tahereh Sarchami (3 shared papers)Jean‐François Gélinas (4 shared papers)Erin E. Johnson (3 shared papers)Lars Rehmann (3 shared papers)Rénald Gilbert (3 shared papers)Gary Kobinger (2 shared papers)Hiva Azizi (2 shared papers)
In The Last Decade
Sascha Kießlich
11 papers receiving 291 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 113
- Genetics 93
- Animal Science and Zoology 23
- Molecular Biology 148
- Biomedical Engineering 88
Countries citing papers authored by Sascha Kießlich
This map shows the geographic impact of Sascha Kießlich'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 Sascha Kießlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Kießlich more than expected).
Fields of papers citing papers by Sascha Kießlich
This network shows the impact of papers produced by Sascha Kießlich. 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 Sascha Kießlich. The network helps show where Sascha Kießlich may publish in the future.
Co-authors
The 24 scholars most cited alongside Sascha Kießlich, 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 | 2020 | 97 | |
| 2 | 2016 | 40 | |
| 3 | 2020 | 28 | |
| 4 | 2019 | 27 | |
| 5 | 2021 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2017 | 12 | |
| 11 | 2020 | 10 |
About Sascha Kießlich
Sascha Kießlich is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Epidemiology and Biomedical Engineering, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Virus-based gene therapy research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Outbreaks Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Virology and Viral Diseases (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Infectious Diseases (113 citations), Genetics (93 citations), Animal Science and Zoology (23 citations), Molecular Biology (148 citations) and Biomedical Engineering (88 citations). Sascha Kießlich has collaborated with scholars based in Canada, Germany and Poland. Frequent co-authors include Amine Kamen, Tahereh Sarchami, Jean‐François Gélinas, Erin E. Johnson, Lars Rehmann, Rénald Gilbert, Gary Kobinger, Hiva Azizi, Parminder S. Chahal and Chun Fang Shen. Their work appears in journals such as Vaccine, Vaccines, Biotechnology and Bioengineering, Biotechnology Advances and Fermentation.
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.