Ferdynand Kos

927 citations
15 papers · 725 · 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 7
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 3

Ferdynand Kos

15 papers receiving 704 citations

Peers

Ferdynand Kos
Comparison fields: 5 of 80
  • Immunology 501
  • Oncology 241
  • Epidemiology 227
  • Microbiology 27
  • Hematology 42
Replace Karen Brajão de Oliveira with:
Karen Brajão de Oliveira Brazil
Marcus Pericin Switzerland
M. E. Christine Lutsiak United States
Thu Chau Canada
Joyce B. Reome United States
Julie Dierksheide United States
Todd A. Braciak Germany
Andrea L. George United States
Sergiusz Markowicz Poland
Kylie McDonald Australia
Ferdynand Kos relative to Karen Brajão de Oliveira Brazil Karen Brajão de Oliveira's profile →
Citations per field
00.5×1.6×
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 2008164
2 1996136
3 201096
4 201458
5 201856
6 201854
7 201049
8 200937
9 201319
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 725 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cervical Cancer and HPV Research (3 papers), CAR-T cell therapy research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Immunology (501 citations), Oncology (241 citations), Epidemiology (227 citations), Microbiology (27 citations) and Hematology (42 citations). Ferdynand Kos has collaborated with scholars based in United States, Australia and Nepal. Frequent co-authors include E G Engleman, Cornelia L. Trimble, T.‐C. Wu, Shiwen Peng, Christopher J. Thoburn, Elizabeth A. Sugar, Patti E. Gravitt, Raphael P. Viscidi, Drew M. Pardoll and Don J. Diamond. Their work appears in journals such as Clinical Cancer Research, The Journal of Immunology, OncoImmunology, Cancer Immunology Immunotherapy and Blood.

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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