Daniel Wendisch
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 and COVID-19 Research 5
- Virology 1
- Co-authors
- Linda Jürgens (1 shared paper)Frieder Pfäfflin (1 shared paper)Roland Scherer (1 shared paper)Dirk Schürmann (1 shared paper)Florian Kurth (1 shared paper)Pinkus Tober‐Lau (1 shared paper)Miriam Songa Stegemann (1 shared paper)Victor Max Corman (1 shared paper)
- Journals
- Cell (3 papers)Nature (2 papers)Cell Systems (2 papers)Clinical Microbiology and Infection (1 paper)Infection (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Wendisch
13 papers receiving 4.6k citations
Daniel Wendisch's Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 3.1k
- Immunology 605
- Neurology 219
- Virology 59
- Spectroscopy 200
Countries citing papers authored by Daniel Wendisch
This map shows the geographic impact of Daniel Wendisch'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 Wendisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wendisch more than expected).
Fields of papers citing papers by Daniel Wendisch
This network shows the impact of papers produced by Daniel Wendisch. 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 Wendisch. The network helps show where Daniel Wendisch may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Wendisch, 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 | Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment Hit paper breakdown → | 2020 | 1114 |
| 2 | SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19 Hit paper breakdown → | 2020 | 1058 |
| 3 | 2020 | 826 | |
| 4 | 2020 | 432 | |
| 5 | SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis Hit paper breakdown → | 2021 | 405 |
| 6 | Safety, reactogenicity, and immunogenicity of homologous and heterologous prime-boost immunisation with ChAdOx1 nCoV-19 and BNT162b2: a prospective cohort study Hit paper breakdown → | 2021 | 290 |
| 7 | 2020 | 285 | |
| 8 | 2021 | 135 | |
| 9 | 2022 | 47 | |
| 10 | Macrophages recycle phagocytosed bacteria to fuel immunometabolic responses Hit paper breakdown → | 2025 | 40 |
| 11 | 2022 | 36 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 15 |
About Daniel Wendisch
Daniel Wendisch is a scholar working on Infectious Diseases, Virology, Hepatology, Cancer Research and Spectroscopy, having authored 13 papers that have together received 4.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Phagocytosis and Immune Regulation (1 paper), Immune cells in cancer (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Liver Diseases and Immunity (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Infectious Diseases (3.1k citations), Immunology (605 citations), Neurology (219 citations), Virology (59 citations) and Spectroscopy (200 citations). Daniel Wendisch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Linda Jürgens, Frieder Pfäfflin, Roland Scherer, Dirk Schürmann, Florian Kurth, Pinkus Tober‐Lau, Miriam Songa Stegemann, Victor Max Corman, Julie A. Reisz and Jean‐William Dupuy. Their work appears in journals such as Cell, Nature, Cell Systems, Clinical Microbiology and Infection and Infection.
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.