K Käppler

439 citations
7 papers · 320 · h-index 7

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management

Papers in

    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 1
    • Lymphatic System and Diseases 1
    • CAR-T cell therapy research 1

K Käppler

7 papers receiving 307 citations

Peers

K Käppler
Comparison fields: 5 of 57
  • Immunology 138
  • Oncology 158
  • Hematology 45
  • Genetics 20
  • Molecular Biology 95
Replace Sandra Sapia with:
Sandra Sapia Argentina
H Zhuang United States
Rui-Ping Dong China
Niloufar Monhasery Germany
Chantal Cognot France
Aurélie Tormo Canada
S. Muthuramalingam United Kingdom
Moh Moh Lian United States
Pınar Tarkun Türkiye
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Citations per field
00.5×1.5×
Sandra Sapia · 1×
Citations per year

Countries citing papers authored by K Käppler

Since Specialization
Citations

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

Fields of papers citing papers by K Käppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 199499
2 199265
3 199552
4 199342
5 199736
6
Phase I trial of interleukin 2 in combination with the soluble tumor necrosis factor receptor p75 IgG chimera.
199614
7
A two-part phase I trial of high-dose interleukin 2 in combination with soluble (Chinese hamster ovary) interleukin 1 receptor.
199812

About K Käppler

K Käppler is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lymphatic System and Diseases (1 paper), Cancer Research and Treatments (1 paper), Immune Response and Inflammation (1 paper), Hematological disorders and diagnostics (1 paper), Vitamin K Research Studies (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (138 citations), Oncology (158 citations), Hematology (45 citations), Genetics (20 citations) and Molecular Biology (95 citations). K Käppler has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael B. Atkins, J W Mier, A Poch, Craig A. McArdle, J W Mier, Mary Lou Ernest, Jeff Sosman, Geoffrey R. Weiss, Kim Margolin and E. M. Berkman. Their work appears in journals such as Journal of Clinical Oncology, Endocrinology, Blood and PubMed.

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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