Ferdynand Kos

936 citations
15 papers · 733 · h-index 12

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Ferdynand Kos

15 papers receiving 712 citations

Peers

Ferdynand Kos
Comparison fields: 5 of 75
  • Immunology 459
  • Oncology 216
  • Epidemiology 212
  • Hematology 38
  • Biotechnology 28
Replace Karen Brajão de Oliveira with:
Karen Brajão de Oliveira Brazil
Todd A. Braciak Germany
Kylie McDonald Australia
Jean‐Paul Rivals Switzerland
María de Lourdes Mora‐García Mexico
Maryaline Coffre United States
Sergiusz Markowicz Poland
Susan Glew United Kingdom
Andrea L. George United States
Thu Chau Canada
Ferdynand Kos relative to Karen Brajão de Oliveira Brazil Karen Brajão de Oliveira's profile →
Citations per field
00.5×
Karen Brajão de Oliveira · 1×
Citations per year

Countries citing papers authored by Ferdynand Kos

Since Specialization
Citations

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

Fields of papers citing papers by Ferdynand Kos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008165
2 1996136
3 201099
4 201858
5 201458
6 201855
7 201049
8 200937
9 201320
10 201618
11 201717
12 201812
13 19935
14 20113
15 20241

About Ferdynand Kos

Ferdynand Kos is a scholar working on Immunology, Oncology, Genetics, Epidemiology and Surgery, having authored 15 papers that have together received 733 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Cervical Cancer and HPV Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Immunology (459 citations), Oncology (216 citations), Epidemiology (212 citations), Hematology (38 citations) and Biotechnology (28 citations). Ferdynand Kos has collaborated with scholars based in United States, Australia and India. Frequent co-authors include E G Engleman, Cornelia L. Trimble, T.‐C. Wu, Shiwen Peng, Elizabeth A. Sugar, Patti E. Gravitt, Drew M. Pardoll, Christopher J. Thoburn, Raphael P. Viscidi and Nicola Hardwick. Their work appears in journals such as Clinical Cancer Research, OncoImmunology, Blood, Cancer Immunology 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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