Cornelia Gottschick
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
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- Hepatitis B Virus Studies 3
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- Co-authors
- Clarissa Masur (4 shared papers)Irene Wagner‐Döbler (4 shared papers)Christoph Abels (4 shared papers)Rafael Mikolajczyk (23 shared papers)Zhi-Luo Deng (3 shared papers)Bianca Klee (20 shared papers)Michael Gekle (17 shared papers)Dietmar H. Pieper (2 shared papers)
- Journals
- Vaccines (3 papers)Microbiome (2 papers)Infection (2 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)
- Partner nations
- GermanySwitzerlandSouth Korea
In The Last Decade
Cornelia Gottschick
27 papers receiving 864 citations
Cornelia Gottschick's Hit Papers
Peers
Comparison fields: 5 of 111
- Microbiology 157
- Neurology 236
- Infectious Diseases 171
- Epidemiology 219
- Urology 40
Countries citing papers authored by Cornelia Gottschick
This map shows the geographic impact of Cornelia Gottschick'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 Cornelia Gottschick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Gottschick more than expected).
Fields of papers citing papers by Cornelia Gottschick
This network shows the impact of papers produced by Cornelia Gottschick. 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 Cornelia Gottschick. The network helps show where Cornelia Gottschick may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Gottschick, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 Hit paper breakdown → | 2022 | 267 |
| 2 | 2017 | 163 | |
| 3 | 2021 | 73 | |
| 4 | 2018 | 67 | |
| 5 | 2017 | 60 | |
| 6 | 2022 | 53 | |
| 7 | 2016 | 38 | |
| 8 | 2023 | 35 | |
| 9 | 2021 | 21 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Cornelia Gottschick
Cornelia Gottschick is a scholar working on Epidemiology, Infectious Diseases, Neurology, Clinical Psychology and Health, having authored 28 papers that have together received 879 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), COVID-19 and Mental Health (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers), Reproductive tract infections research (4 papers), Hepatitis B Virus Studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Microbiology (157 citations), Neurology (236 citations), Infectious Diseases (171 citations), Epidemiology (219 citations) and Urology (40 citations). Cornelia Gottschick has collaborated with scholars based in Germany, Switzerland and South Korea. Frequent co-authors include Clarissa Masur, Irene Wagner‐Döbler, Christoph Abels, Rafael Mikolajczyk, Zhi-Luo Deng, Bianca Klee, Michael Gekle, Dietmar H. Pieper, Matthias Girndt and Mascha Binder. Their work appears in journals such as Vaccines, Microbiome, Infection, PLoS ONE and Scientific 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.