Simon Eschweiler

1.2k citations
5 papers · 449 indexed · h-index 4

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 2
    • Immune responses and vaccinations 1
    • Immune Response and Inflammation 1
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Simon Eschweiler

5 papers receiving 446 citations

Peers

Simon Eschweiler
Comparison fields: 5 of 60
  • Infectious Diseases 257
  • Immunology 192
  • Neurology 113
  • Modeling and Simulation 16
  • Oncology 85
Replace Hayley Simon with:
Hayley Simon United Kingdom
Benjamin J. Meckiff United Kingdom
Benjamin R. Weeder United States
Jiantao Dong China
Wenqing Le China
Polina Sonis Israel
Barbara Baronio Italy
Austin Nguyen United States
Natalia Egri Spain
Sapir Dreyer-Alster Israel
Simon Eschweiler relative to Hayley Simon United Kingdom Hayley Simon's profile →
Citations per field
00.5×
Hayley Simon · 1×
Citations per year

Countries citing papers authored by Simon Eschweiler

Since Specialization
Citations

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

Fields of papers citing papers by Simon Eschweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

5 of 5 papers shown
#Work
1 20239
2 202178
3 2020336
4 20201
5 201625

About Simon Eschweiler

Simon Eschweiler is a scholar working on Immunology, Oncology, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 5 papers that have together received 449 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Preterm Birth and Chorioamnionitis (1 paper), Immune responses and vaccinations (1 paper), COVID-19 Clinical Research Studies (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Infectious Diseases (257 citations), Immunology (192 citations), Neurology (113 citations), Modeling and Simulation (16 citations) and Oncology (85 citations). Simon Eschweiler has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Serena Chee, Ciro Ramírez-Suástegui, Christian H. Ottensmeier, Pandurangan Vijayanand, Ferhat Ay, Hayley Simon, Alessandro Sette, Emanuela Pelosi, Alba Grifoni and Grégory Seumois. Their work appears in journals such as Nature Immunology, Cell, Cell Reports, Clinical & Experimental Immunology and SSRN Electronic Journal.

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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