Simone Kayser

817 citations
16 papers · 578 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 4
    • Viral-associated cancers and disorders 2
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 5

Simone Kayser

16 papers receiving 572 citations

Peers

Simone Kayser
Comparison fields: 5 of 44
  • Oncology 394
  • Immunology 264
  • Hematology 61
  • Epidemiology 180
  • Pathology and Forensic Medicine 89
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Citations per field
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Citations per year

Countries citing papers authored by Simone Kayser

Since Specialization
Citations

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

Fields of papers citing papers by Simone Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012198
2 2016137
3 201599
4
Evaluation of pre-existent immunity in patients with primary breast cancer: molecular and cellular assays to quantify antigen-specific T lymphocytes in peripheral blood mononuclear cells.
200344
5 201516
6 200516
7 202013
8 202113
9 200311
10 201510
11 20227
12 20126
13 20234
14 20102
15 20241
16 20151

About Simone Kayser

Simone Kayser is a scholar working on Oncology, Immunology, Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 578 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Cytomegalovirus and herpesvirus research (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral-associated cancers and disorders (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (394 citations), Immunology (264 citations), Hematology (61 citations), Epidemiology (180 citations) and Pathology and Forensic Medicine (89 citations). Simone Kayser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tobias Feuchtinger, Rupert Handgretinger, Peter Lang, Stefan Stevanović, Johann Greil, Wolfgang Bethge, Michael H. Albert, Judith Feucht, Christina Kyzirakos and Michael Schumm. Their work appears in journals such as Blood, Journal of Cancer Research and Clinical Oncology, Vaccines, Journal of Immunotherapy and The Journal of 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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