Kay Hänggi

1.7k total citations · 1 hit paper
16 papers, 839 citations indexed

About

Kay Hänggi is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Kay Hänggi has authored 16 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Kay Hänggi's work include Immunotherapy and Immune Responses (5 papers), DNA Repair Mechanisms (3 papers) and Immune cells in cancer (3 papers). Kay Hänggi is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), DNA Repair Mechanisms (3 papers) and Immune cells in cancer (3 papers). Kay Hänggi collaborates with scholars based in United States, Switzerland and Germany. Kay Hänggi's co-authors include Brian Ruffell, Asmaa El-Kenawi, W. Wei‐Lynn Wong, Stefan Krautwald, Ana J. García‐Sáez, Alessandro A. Sartori, Aida Peña‐Blanco, Olga Murina, Ulrich Kunzendorf and Uris Ros and has published in prestigious journals such as Immunity, Molecular Cell and Gastroenterology.

In The Last Decade

Kay Hänggi

15 papers receiving 829 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cell death, therapeutics, and the immune response in cancer

2023 138 citations Kay Hänggi, Brian Ruffell Trends in cancer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kay Hänggi United States	10	498	355	265	128	91	16	839
Florian J. Groelly United Kingdom	6	599 1.2×	250 0.7×	398 1.5×	128 1.0×	85 0.9×	7	893
Reza Mirzaei Iran	15	259 0.5×	366 1.0×	251 0.9×	121 0.9×	72 0.8×	37	774
Ling Lin China	10	366 0.7×	398 1.1×	333 1.3×	197 1.5×	73 0.8×	12	819
Jun Gui China	15	240 0.5×	394 1.1×	281 1.1×	83 0.6×	52 0.6×	23	784
Xiang-Min Yang China	15	680 1.4×	336 0.9×	222 0.8×	124 1.0×	47 0.5×	33	899
Sabina Kaczanowska United States	8	319 0.6×	524 1.5×	361 1.4×	136 1.1×	68 0.7×	11	870
Hyung‐seung Jin South Korea	16	448 0.9×	529 1.5×	346 1.3×	132 1.0×	33 0.4×	27	943
Ondřej Kodet Czechia	17	424 0.9×	222 0.6×	362 1.4×	183 1.4×	46 0.5×	44	897
Guo‐Kai Feng China	16	355 0.7×	162 0.5×	241 0.9×	138 1.1×	56 0.6×	42	707

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-authorship network of co-authors of Kay Hänggi

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Hänggi. A scholar is included among the top collaborators of Kay Hänggi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay Hänggi. Kay Hänggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Hänggi, Kay & Brian Ruffell. (2025). Protocol for specific induction of apoptosis or necroptosis in established murine tumors. STAR Protocols. 6(4). 104185–104185.

Hänggi, Kay, Jie Li, Xiaoxian Liu, et al.. (2024). Interleukin-1α release during necrotic-like cell death generates myeloid-driven immunosuppression that restricts anti-tumor immunity. Cancer Cell. 42(12). 2015–2031.e11. 17 indexed citations

Celias, Daiana P., Kay Hänggi, & Brian Ruffell. (2023). Abstract 678: Investigating the mechanisms involved in HMGB1-dependent DNA uptake and STING activation in dendritic cells. Cancer Research. 83(7_Supplement). 678–678. 1 indexed citations

Lee, Kyubum, Mahmoud A. Abdalah, Theresa A. Boyle, et al.. (2023). Grading of lung adenocarcinomas with simultaneous segmentation by artificial intelligence (GLASS-AI). npj Precision Oncology. 7(1). 68–68. 4 indexed citations

Hänggi, Kay & Brian Ruffell. (2023). Cell death, therapeutics, and the immune response in cancer. Trends in cancer. 9(5). 381–396. 138 indexed citations breakdown →

Bolck, Hella Anna, Sara Przetocka, Roger Meier, et al.. (2022). RNAi Screening Uncovers a Synthetic Sick Interaction between CtIP and the BARD1 Tumor Suppressor. Cells. 11(4). 643–643. 4 indexed citations

Gardner, Alycia, Álvaro de Mingo Pulido, Kay Hänggi, et al.. (2022). TIM-3 blockade enhances IL-12-dependent antitumor immunity by promoting CD8⁺ T cell and XCR1⁺ dendritic cell spatial co-localization. Journal for ImmunoTherapy of Cancer. 10(1). e003571–e003571. 40 indexed citations

Pulido, Álvaro de Mingo, Kay Hänggi, Daiana P. Celias, et al.. (2021). The inhibitory receptor TIM-3 limits activation of the cGAS-STING pathway in intra-tumoral dendritic cells by suppressing extracellular DNA uptake. Immunity. 54(6). 1154–1167.e7. 174 indexed citations

Lee, Kyubum, Mahmoud A. Abdalah, Theresa A. Boyle, et al.. (2021). Abstract PO-082: Automated tumor segmentation, grading, and analysis of tumor heterogeneity in preclinical models of lung adenocarcinoma. Clinical Cancer Research. 27(5_Supplement). PO–82. 1 indexed citations

10.

Hänggi, Kay, et al.. (2021). Loss of cIAP1 in Endothelial Cells Limits Metastatic Extravasation through Tumor-Derived Lymphotoxin Alpha. Cancers. 13(4). 599–599. 3 indexed citations

11.

El-Kenawi, Asmaa, Kay Hänggi, & Brian Ruffell. (2019). The Immune Microenvironment and Cancer Metastasis. Cold Spring Harbor Perspectives in Medicine. 10(4). a037424–a037424. 75 indexed citations

12.

Hänggi, Kay, Aı̈da Valls, Rosario Yerbes, et al.. (2017). RIPK1/RIPK3 promotes vascular permeability to allow tumor cell extravasation independent of its necroptotic function. Cell Death and Disease. 8(2). e2588–e2588. 62 indexed citations

13.

Ros, Uris, Aida Peña‐Blanco, Kay Hänggi, et al.. (2017). Necroptosis Execution Is Mediated by Plasma Membrane Nanopores Independent of Calcium. Cell Reports. 19(1). 175–187. 113 indexed citations

14.

Grabinger, Thomas, M. Eugenia Delgado, Feodora Ivanova Kostadinova, et al.. (2016). Inhibitor of Apoptosis Protein-1 Regulates Tumor Necrosis Factor–Mediated Destruction of Intestinal Epithelial Cells. Gastroenterology. 152(4). 867–879. 57 indexed citations

15.

Murina, Olga, Ufuk Karakus, Lorenza P. Ferretti, et al.. (2014). FANCD2 and CtIP Cooperate to Repair DNA Interstrand Crosslinks. Cell Reports. 7(4). 1030–1038. 75 indexed citations

16.

Steger, Martin, Olga Murina, Daniela Hühn, et al.. (2013). Prolyl Isomerase PIN1 Regulates DNA Double-Strand Break Repair by Counteracting DNA End Resection. Molecular Cell. 50(3). 333–343. 75 indexed citations

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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