Patrick Taeschler

1.1k citations
14 papers · 740 · 2 hit papers · h-index 7

Impact in

  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Patrick Taeschler

9 papers receiving 724 citations

Patrick Taeschler's Hit Papers

Persistent complement dysregulation with signs of thromboinflammation in active Long Covid 2024 · 259 citations
2590+1+2Years since publication50100150200250

Peers

Patrick Taeschler
Comparison fields: 5 of 59
  • Neurology 350
  • Infectious Diseases 255
  • Immunology 99
  • Rheumatology 31
  • General Dentistry 1
Replace Margrit Gündisch with:
Margrit Gündisch Germany
Zachary Manickas-Hill United States
Desirée Rodrigues Plaça Brazil
Sherwin A. Navaz United States
Blanka Andersson Sweden
Chynna Huang Canada
Christine Chew United Kingdom
Aisling M. Rehill Ireland
Cole P. Maguire United States
Viktoriia Chaban Norway
Patrick Taeschler relative to Margrit Gündisch Germany Margrit Gündisch's profile →
Citations per field
00.5×2×3×3.7×
Margrit Gündisch · 1×
Citations per year

Countries citing papers authored by Patrick Taeschler

Since Specialization
Citations

This map shows the geographic impact of Patrick Taeschler'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 Patrick Taeschler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Taeschler more than expected).

Fields of papers citing papers by Patrick Taeschler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Taeschler. 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 Patrick Taeschler. The network helps show where Patrick Taeschler may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Taeschler, 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 Patrick Taeschler Line = papers co-authored together Patrick Taeschler links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Persistent complement dysregulation with signs of thromboinflammation in active Long Covid
Hit paper breakdown →
2024259
2
Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome
Hit paper breakdown →
2022168
3 2021110
4 202376
5 202249
6 202239
7 202337
8 20231
9 20231
10 20220
11 20220
12 20220
13 20230
14 20250

About Patrick Taeschler

Patrick Taeschler is a scholar working on Infectious Diseases, Immunology, Neurology, Rheumatology and Nuclear Energy and Engineering, having authored 14 papers that have together received 740 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), T-cell and B-cell Immunology (6 papers), COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Neurology (350 citations), Infectious Diseases (255 citations), Immunology (99 citations), Rheumatology (31 citations) and General Dentistry (1 citation). Patrick Taeschler has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Yves Zurbuchen, Miro E. Raeber, Onur Boyman, Carlo Cervia, Jakob Nilsson, Sarah Adamo, Esther Bächli, Sara Hasler, Melina Stüssi‐Helbling and Alain Rudiger. Their work appears in journals such as Nature Communications, Nature Immunology, Allergy, Nature and Science.

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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