Kay Hänggi
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
- Oncology 8
- 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
- interferon and immune responses 2
- Co-authors
- Brian Ruffell (9 shared papers)Asmaa El-Kenawi (1 shared paper)W. Wei‐Lynn Wong (3 shared papers)Aida Peña‐Blanco (1 shared paper)Stefan Krautwald (1 shared paper)Ulrich Kunzendorf (1 shared paper)Ana J. García‐Sáez (1 shared paper)Alessandro A. Sartori (3 shared papers)
- Journals
- Cell Reports (2 papers)Molecular Cell (1 paper)Clinical Cancer Research (1 paper)npj Precision Oncology (1 paper)Trends in cancer (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Kay Hänggi
15 papers receiving 877 citations
Kay Hänggi's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 339
- Oncology 238
- Cancer Research 108
- Molecular Biology 472
- Cell Biology 51
Countries citing papers authored by Kay Hänggi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 189 | |
| 2 | Cell death, therapeutics, and the immune response in cancer Hit paper breakdown → | 2023 | 152 |
| 3 | 2017 | 115 | |
| 4 | 2019 | 78 | |
| 5 | 2013 | 76 | |
| 6 | 2014 | 75 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 59 | |
| 9 | 2022 | 40 | |
| 10 | 2024 | 25 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 |
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 887 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), DNA Repair Mechanisms (3 papers), Cell death mechanisms and regulation (3 papers), Immune cells in cancer (3 papers), PARP inhibition in cancer therapy (2 papers), Galectins and Cancer Biology (2 papers), interferon and immune responses (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (339 citations), Oncology (238 citations), Cancer Research (108 citations), Molecular Biology (472 citations) and Cell Biology (51 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, Aida Peña‐Blanco, Stefan Krautwald, Ulrich Kunzendorf, Ana J. García‐Sáez, Alessandro A. Sartori, Uris Ros and Olga Murina. Their work appears in journals such as Cell Reports, Molecular Cell, Clinical Cancer Research, npj Precision Oncology and Trends in cancer.
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.