Sebastian Schulz
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 22
- COVID-19 Clinical Research Studies 15
- SARS-CoV-2 detection and testing 9
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 6
- Modeling and Simulation top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- MicroRNA in disease regulation 4
- Co-authors
- Hans‐Martin JäckMarkus HoffmannStefan PöhlmannLuise GraichenAmy KempfMartin Sebastian WinklerNadine KrügerInga Nehlmeier
- Journals
- Cell Reports (8 papers)European Journal of Immunology (5 papers)Frontiers in Immunology (3 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Sebastian Schulz
57 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Infectious Diseases 1.5k
- Animal Science and Zoology 215
- Modeling and Simulation 93
- Endocrinology, Diabetes and Metabolism 311
- Immunology 344
Countries citing papers authored by Sebastian Schulz
This map shows the geographic impact of Sebastian Schulz'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 Sebastian Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Schulz more than expected).
Fields of papers citing papers by Sebastian Schulz
This network shows the impact of papers produced by Sebastian Schulz. 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 Sebastian Schulz. The network helps show where Sebastian Schulz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Schulz, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 162 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 56 | |
| 11 | 2021 | 5 | |
| 12 | SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodiesbreakdown → | 2021 | 563 |
| 13 | 2014 | 22 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 19 | |
| 16 | 2011 | 52 | |
| 17 | 2011 | 33 | |
| 18 | 2010 | 30 | |
| 19 | 2009 | 45 | |
| 20 | 2007 | 31 |
About Sebastian Schulz
Sebastian Schulz is a scholar working on Infectious Diseases, Immunology and Animal Science and Zoology, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 Clinical Research Studies (15 papers), SARS-CoV-2 detection and testing (9 papers), Immune Cell Function and Interaction (8 papers), Animal Virus Infections Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Animal Science and Zoology (215 citations) and Modeling and Simulation (93 citations). Sebastian Schulz has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Hans‐Martin Jäck, Markus Hoffmann, Stefan Pöhlmann, Luise Graichen, Amy Kempf, Martin Sebastian Winkler, Nadine Krüger, Inga Nehlmeier, Georg M. N. Behrens and Anna-Sophie Moldenhauer. Their work appears in journals such as Cell Reports, European Journal of Immunology, Frontiers in Immunology, Cell and Vaccines.
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.