Kay Hänggi

1.7k citations
16 papers · 839 · 1 hit paper · h-index 10

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • PARP inhibition in cancer therapy 2
    • Cancer Immunotherapy and Biomarkers 2
    • Immunotherapy and Immune Responses 5
    • Immune cells in cancer 3
    • Galectins and Cancer Biology 2
    • Immune Cell Function and Interaction 2
    • interferon and immune responses 2

Kay Hänggi

15 papers receiving 829 citations

Hit Papers

Cell death, therapeutics, and the immune response in cancer 2023 · 138 citations
1380+1+2Years since publication4080120

Peers

Kay Hänggi
Comparison fields: 5 of 77
  • Immunology 355
  • Oncology 265
  • Cancer Research 128
  • Molecular Biology 498
  • Cell Biology 54
Replace Florian J. Groelly with:
Florian J. Groelly United Kingdom
Xiang-Min Yang China
Jun Gui China
Fengsong Wang China
Ling Lin China
Hyung‐seung Jin South Korea
Reza Mirzaei Iran
Jana Dobrovolná Czechia
Guo‐Kai Feng China
Kay Hänggi relative to Florian J. Groelly United Kingdom Florian J. Groelly's profile →
Citations per field
00.5×10×14×
Florian J. Groelly · 1×
Citations per year

Countries citing papers authored by Kay Hänggi

Since Specialization
Citations

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

Fields of papers citing papers by Kay Hänggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021174
2
Cell death, therapeutics, and the immune response in cancer
Hit paper breakdown →
2023138
3 2017113
4 201475
5 201975
6 201375
7 201762
8 201657
9 202240
10 202417
11 20224
12 20234
13 20213
14 20231
15 20211
16 20250

About Kay Hänggi

Kay Hänggi is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Cell Biology, having authored 16 papers that have together received 839 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), DNA Repair Mechanisms (3 papers), Immune cells in cancer (3 papers), Galectins and Cancer Biology (2 papers), PARP inhibition in cancer therapy (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (355 citations), Oncology (265 citations), Cancer Research (128 citations), Molecular Biology (498 citations) and Cell Biology (54 citations). Kay Hänggi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Brian Ruffell, Asmaa El-Kenawi, W. Wei‐Lynn Wong, Alessandro A. Sartori, Ana J. García‐Sáez, Olga Murina, Uris Ros, Stefan Krautwald, Aida Peña‐Blanco and Lorenza P. Ferretti. Their work appears in journals such as Cell Reports, Cancer Cell, Clinical Cancer Research, Cell Death and Disease and Immunity.

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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