Daniel Schnepf
Impact in
- Immunology top 5%
- interferon and immune responses
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Immunology 12
- interferon and immune responses 12
- Immunotherapy and Immune Responses 1
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- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Peter Staeheli (16 shared papers)Liang Ye (6 shared papers)Rune Hartmann (4 shared papers)Hans Henrik Gad (4 shared papers)Stefania Crotta (4 shared papers)Andreas Wack (4 shared papers)Miriam Llorian (3 shared papers)Serge Yu. Fuchs (1 shared paper)
- Journals
- Nature Communications (4 papers)Nature Immunology (2 papers)Science Immunology (2 papers)Science Translational Medicine (1 paper)Nature Aging (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniel Schnepf
26 papers receiving 1.7k citations
Daniel Schnepf's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 487
- Infectious Diseases 375
- Neurology 62
- Molecular Biology 485
- Epidemiology 182
Countries citing papers authored by Daniel Schnepf
This map shows the geographic impact of Daniel Schnepf'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 Daniel Schnepf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schnepf more than expected).
Fields of papers citing papers by Daniel Schnepf
This network shows the impact of papers produced by Daniel Schnepf. 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 Daniel Schnepf. The network helps show where Daniel Schnepf may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schnepf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 375 | |
| 2 | 2019 | 233 | |
| 3 | 2019 | 216 | |
| 4 | 2018 | 207 | |
| 5 | 2021 | 141 | |
| 6 | 2020 | 110 | |
| 7 | 2019 | 79 | |
| 8 | Necroptosis blockade prevents lung injury in severe influenza Hit paper breakdown → | 2024 | 79 |
| 9 | 2021 | 50 | |
| 10 | 2021 | 41 | |
| 11 | 2022 | 40 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2019 | 19 | |
| 16 | 2024 | 17 | |
| 17 | 2025 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2023 | 11 |
About Daniel Schnepf
Daniel Schnepf is a scholar working on Immunology, Infectious Diseases, Neurology, Epidemiology and Molecular Biology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include interferon and immune responses (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Influenza Virus Research Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Cell death mechanisms and regulation (2 papers), Gut microbiota and health (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (487 citations), Infectious Diseases (375 citations), Neurology (62 citations), Molecular Biology (485 citations) and Epidemiology (182 citations). Daniel Schnepf has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Peter Staeheli, Liang Ye, Rune Hartmann, Hans Henrik Gad, Stefania Crotta, Andreas Wack, Miriam Llorian, Serge Yu. Fuchs, Bernhard Ryffel and Sophia Davidson. Their work appears in journals such as Nature Communications, Nature Immunology, Science Immunology, Science Translational Medicine and Nature Aging.
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.