Ludwig Knabl
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 16
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 2
-
- interferon and immune responses 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Hye‐Kyung Lee (11 shared papers)Priscilla A. Furth (11 shared papers)Lothar Hennighausen (11 shared papers)Dorotheé von Laer (8 shared papers)Annika Rössler (6 shared papers)Janine Kimpel (6 shared papers)Wegene Borena (6 shared papers)Barbara Falkensammer (4 shared papers)
- Journals
- Scientific Reports (4 papers)iScience (2 papers)Nature Communications (2 papers)Frontiers in Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Ludwig Knabl
18 papers receiving 249 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 206
- Modeling and Simulation 22
- Animal Science and Zoology 29
- Immunology 54
- Neurology 30
Countries citing papers authored by Ludwig Knabl
This map shows the geographic impact of Ludwig Knabl'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 Ludwig Knabl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludwig Knabl more than expected).
Fields of papers citing papers by Ludwig Knabl
This network shows the impact of papers produced by Ludwig Knabl. 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 Ludwig Knabl. The network helps show where Ludwig Knabl may publish in the future.
Co-authors
The 25 scholars most cited alongside Ludwig Knabl, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2021 | 38 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ludwig Knabl
Ludwig Knabl is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Neurology and Animal Science and Zoology, having authored 21 papers that have together received 254 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (11 papers), Long-Term Effects of COVID-19 (4 papers), Bacillus and Francisella bacterial research (3 papers), Animal Virus Infections Studies (3 papers), interferon and immune responses (2 papers), Immunotherapy and Immune Responses (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (206 citations), Modeling and Simulation (22 citations), Animal Science and Zoology (29 citations), Immunology (54 citations) and Neurology (30 citations). Ludwig Knabl has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Hye‐Kyung Lee, Priscilla A. Furth, Lothar Hennighausen, Dorotheé von Laer, Annika Rössler, Janine Kimpel, Wegene Borena, Barbara Falkensammer, Mary Walter and Samuel Wilks. Their work appears in journals such as Scientific Reports, iScience, Nature Communications, Frontiers in Immunology and Cell Reports.
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.