Patrick Taeschler

1.1k citations
8 papers · 349 · 1 hit paper · h-index 6

Impact in

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

Papers in

Patrick Taeschler

7 papers receiving 342 citations

Patrick Taeschler's Hit Papers

Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome 2022 · 143 citations
1430+1+2Years since publication4080120

Peers

Patrick Taeschler
Comparison fields: 5 of 47
  • Neurology 170
  • Infectious Diseases 171
  • Biological Psychiatry 13
  • Critical Care and Intensive Care Medicine 18
  • Immunology 76
Replace Melina Stüssi‐Helbling with:
Melina Stüssi‐Helbling Switzerland
Carlo Cervia Switzerland
Yasmeen Senussi United States
Arthur Eng Lip Yeow Australia
Quan Cao China
Antonio Rosales‐Castillo Spain
Ida Monrad Denmark
Amy Spallone United States
Alexandra N. Donlan United States
Asma Boumaza France
Patrick Taeschler relative to Melina Stüssi‐Helbling Switzerland Melina Stüssi‐Helbling's profile →
Citations per field
00.5×1.5×
Melina Stüssi‐Helbling · 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

8 of 8 papers shown
#Work
1
Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome
Hit paper breakdown →
2022143
2 202192
3 202241
4 202234
5 202324
6 202114
7 20231
8 20250

About Patrick Taeschler

Patrick Taeschler is a scholar working on Infectious Diseases, Neurology, Immunology, Clinical Psychology and Organic Chemistry, having authored 8 papers that have together received 349 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (3 papers), T-cell and B-cell Immunology (2 papers), COVID-19 and Mental Health (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Neurology (170 citations), Infectious Diseases (171 citations), Biological Psychiatry (13 citations), Critical Care and Intensive Care Medicine (18 citations) and Immunology (76 citations). Patrick Taeschler has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Yves Zurbuchen, Carlo Cervia, Jakob Nilsson, Miro E. Raeber, Sarah Adamo, Onur Boyman, Alain Rudiger, Lars C Huber, Melina Stüssi‐Helbling and Sara Hasler. Their work appears in journals such as Allergy, Nature Communications, Nature Immunology, Nature and Zurich Open Repository and Archive (University of Zurich).

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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