Simone Kayser

839 citations
17 papers · 614 · 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 8
    • Immune Cell Function and Interaction 4

Simone Kayser

16 papers receiving 605 citations

Peers

Simone Kayser
Comparison fields: 5 of 43
  • Oncology 367
  • Immunology 246
  • Hematology 63
  • Epidemiology 151
  • Pathology and Forensic Medicine 80
Replace Clare Taylor with:
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Kitsada Wudhikarn Thailand
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Citations per field
00.5×1.7×
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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

17 of 17 papers shown
#Work
1 2012213
2 2016143
3 2015109
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.
200346
5 200516
6 201516
7 202114
8 202013
9 200311
10 201510
11 20227
12 20126
13 20235
14 20242
15 20102
16 20151
17 20250

About Simone Kayser

Simone Kayser is a scholar working on Oncology, Immunology, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 17 papers that have together received 614 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Viral-associated cancers and disorders (2 papers), vaccines and immunoinformatics approaches (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (367 citations), Immunology (246 citations), Hematology (63 citations), Epidemiology (151 citations) and Pathology and Forensic Medicine (80 citations). Simone Kayser has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Tobias Feuchtinger, Rupert Handgretinger, Peter Lang, Stefan Stevanović, Michael H. Albert, Wolfgang Bethge, Johann Greil, Judith Feucht, Christina Kyzirakos and Michael Schumm. Their work appears in journals such as Blood, Vaccines, Journal of Immunotherapy, Journal of Cancer Research and Clinical Oncology 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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