Cornelia Gottschick

34 papers receiving 1k citations

Cornelia Gottschick's Hit Papers

The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 2022 · 321 citations
3210+1+2Years since publication100200300

Peers

Cornelia Gottschick
Comparison fields: 5 of 108
  • Microbiology 172
  • Neurology 300
  • Infectious Diseases 162
  • Modeling and Simulation 36
  • Epidemiology 163
Replace Bård Reiakvam Kittang with:
Bård Reiakvam Kittang Norway
Judy Chen United States
Manuel Schibler Switzerland
Prathit A. Kulkarni United States
Sophie Seang France
Samuel Rhedin Sweden
Onur Ural Türkiye
Anna Smielewska United Kingdom
Liwei Gao China
Ed Moran United Kingdom
Cornelia Gottschick relative to Bård Reiakvam Kittang Norway Bård Reiakvam Kittang's profile →
Citations per field
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Bård Reiakvam Kittang · 1×
Citations per year

Countries citing papers authored by Cornelia Gottschick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cornelia Gottschick Line = papers co-authored together Cornelia Gottschick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 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 →
2022321
2 2017168
3 202188
4 201870
5 202261
6 201760
7 202349
8 201640
9 202124
10 202323
11 202319
12 202018
13 202216
14 202416
15 202212
16 20249
17 20248
18 20196
19 20206
20 20236

About Cornelia Gottschick

Cornelia Gottschick is a scholar working on Neurology, Emergency Medical Services, Microbiology, Infectious Diseases and Health, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Pediatric health and respiratory diseases (5 papers), Vaccine Coverage and Hesitancy (4 papers), Asthma and respiratory diseases (4 papers), Reproductive tract infections research (4 papers), Respiratory viral infections research (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Microbiology (172 citations), Neurology (300 citations), Infectious Diseases (162 citations), Modeling and Simulation (36 citations) and Epidemiology (163 citations). Cornelia Gottschick has collaborated with scholars based in Germany, Switzerland and Indonesia. Frequent co-authors include Rafael Mikolajczyk, Clarissa Masur, Irene Wagner‐Döbler, Christoph Abels, Bianca Klee, Michael Gekle, Zhi-Luo Deng, Mascha Binder, Matthias Girndt and Thomas Frese. Their work appears in journals such as International Journal of Infectious Diseases, Vaccines, International Journal of Epidemiology, Infection and Microbiome.

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.

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