Stefan Ryser

1.2k citations
15 papers · 923 · h-index 11

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • CAR-T cell therapy research 4

Stefan Ryser

15 papers receiving 874 citations

Peers

Stefan Ryser
Comparison fields: 5 of 95
  • Immunology 476
  • Oncology 177
  • Radiology, Nuclear Medicine and Imaging 115
  • Microbiology 32
  • Molecular Biology 336
Replace Laura Morelli with:
Laura Morelli Italy
Paulina Kasperkiewicz Poland
Douglas A. Jeffery United States
R J Booth New Zealand
Patrick McDevitt United States
Montserrat Carrasco‐Triguero United States
Praveen K. Madala Australia
Micah Steffek United States
Susan Fong United States
Céline Schalk‐Hihi United States
Stefan Ryser relative to Laura Morelli Italy Laura Morelli's profile →
Citations per field
00.5×1.5×2.1×
Laura Morelli · 1×
Citations per year

Countries citing papers authored by Stefan Ryser

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Ryser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1988316
2 1988170
3 1997112
4 201663
5 199660
6 198852
7 201747
8 200831
9 199721
10 199718
11 202410
12 20199
13 20178
14 19893
15 19933

About Stefan Ryser

Stefan Ryser is a scholar working on Immunology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 15 papers that have together received 923 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), CAR-T cell therapy research (4 papers), Bacterial biofilms and quorum sensing (3 papers), Biotechnology and Related Fields (3 papers), Science, Research, and Medicine (2 papers), Diabetes and associated disorders (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Immunology (476 citations), Oncology (177 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Microbiology (32 citations) and Molecular Biology (336 citations). Stefan Ryser has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Jürgen Drews, Harald von Boehmer, Yasushi Uematsu, Paul Krimpenfort, Zlatko Dembić, Anton Berns, Peter Borgulya, Michael Steinmetz, Rolien de Jong and Michel O. Steinmetz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, PLoS ONE, Nature Biotechnology, Drug Discovery Today and International Immunology.

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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