Katja Culap
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
-
- Influenza Virus Research Studies 1
- Co-authors
- Yenny Goez-Gazi (1 shared paper)David Veesler (1 shared paper)David K. Hong (1 shared paper)Matthew McCallum (1 shared paper)Anna De Marco (1 shared paper)Amin Addetia (1 shared paper)Christy M. Hebner (1 shared paper)Davide Corti (2 shared papers)
- Journals
- Nature (8 papers)Science (3 papers)iScience (1 paper)Immunity (1 paper)Open Forum Infectious Diseases (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Katja Culap
16 papers receiving 5.5k citations
Katja Culap's Hit Papers
Peers
Comparison fields: 5 of 62
- Infectious Diseases 4.9k
- Modeling and Simulation 37
- General Dentistry 2
- Radiology, Nuclear Medicine and Imaging 61
- Biotechnology 15
Countries citing papers authored by Katja Culap
This map shows the geographic impact of Katja Culap'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 Katja Culap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Culap more than expected).
Fields of papers citing papers by Katja Culap
This network shows the impact of papers produced by Katja Culap. 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 Katja Culap. The network helps show where Katja Culap may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Culap, 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 | Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody Hit paper breakdown → | 2020 | 1469 |
| 2 | Broadly neutralizing antibodies overcome SARS-CoV-2 Omicron antigenic shift Hit paper breakdown → | 2021 | 884 |
| 3 | Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies Hit paper breakdown → | 2021 | 530 |
| 4 | Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity Hit paper breakdown → | 2021 | 484 |
| 5 | 2020 | 401 | |
| 6 | SARS-CoV-2 RBD antibodies that maximize breadth and resistance to escape Hit paper breakdown → | 2021 | 377 |
| 7 | SARS-CoV-2 immune evasion by the B.1.427/B.1.429 variant of concern Hit paper breakdown → | 2021 | 336 |
| 8 | 2021 | 325 | |
| 9 | 2021 | 296 | |
| 10 | 2021 | 205 | |
| 11 | 2021 | 184 | |
| 12 | Neutralization, effector function and immune imprinting of Omicron variants Hit paper breakdown → | 2023 | 105 |
| 13 | 2022 | 10 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2020 | 3 |
About Katja Culap
Katja Culap is a scholar working on Infectious Diseases, Epidemiology, Nuclear Energy and Engineering, Waste Management and Disposal and Organic Chemistry, having authored 16 papers that have together received 5.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (4.9k citations), Modeling and Simulation (37 citations), General Dentistry (2 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Biotechnology (15 citations). Katja Culap has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Yenny Goez-Gazi, David Veesler, David K. Hong, Matthew McCallum, Anna De Marco, Amin Addetia, Christy M. Hebner, Davide Corti, Swagata Kar and Fabio Benigni. Their work appears in journals such as Nature, Science, iScience, Immunity and Open Forum Infectious Diseases.
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.