Cheei‐Sing Hau

3.2k total citations · 2 hit papers
15 papers, 2.2k citations indexed

About

Cheei‐Sing Hau is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Cheei‐Sing Hau has authored 15 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Cheei‐Sing Hau's work include Immune cells in cancer (10 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immunotherapy and Immune Responses (5 papers). Cheei‐Sing Hau is often cited by papers focused on Immune cells in cancer (10 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immunotherapy and Immune Responses (5 papers). Cheei‐Sing Hau collaborates with scholars based in Netherlands, United States and Germany. Cheei‐Sing Hau's co-authors include Karin E. de Visser, Jos Jonkers, Kim Vrijland, Metamia Ciampricotti, Seth B. Coffelt, Chris W. Doornebal, Kelly Kersten, Niels J. M. Verstegen, Jorieke Weiden and Lukas J.A.C. Hawinkels and has published in prestigious journals such as Nature, Nature Cell Biology and Cancer Cell.

In The Last Decade

Cheei‐Sing Hau

15 papers receiving 2.2k citations

Hit Papers

IL-17-producing γδ T cells and neutrophils conspire to pr... 2015 2026 2018 2022 2015 2019 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheei‐Sing Hau Netherlands 12 1.3k 1.2k 616 282 209 15 2.2k
Metamia Ciampricotti Netherlands 11 1.2k 0.9× 1.0k 0.9× 529 0.9× 210 0.7× 182 0.9× 13 1.9k
Liam Campion United States 4 1.5k 1.1× 1.2k 1.0× 748 1.2× 311 1.1× 155 0.7× 9 2.2k
Christopher Groth Germany 14 1.5k 1.1× 1.1k 0.9× 584 0.9× 240 0.9× 187 0.9× 18 2.1k
Nesrine I. Affara United States 12 1.4k 1.1× 1.2k 1.0× 681 1.1× 420 1.5× 160 0.8× 14 2.3k
Evgenii N. Tcyganov United States 6 1.5k 1.1× 947 0.8× 509 0.8× 239 0.8× 159 0.8× 7 2.0k
Giacomo Desantis Italy 10 1.6k 1.2× 1.2k 1.0× 648 1.1× 540 1.9× 221 1.1× 13 2.5k
Claire M. Connell United Kingdom 13 877 0.7× 1.7k 1.4× 773 1.3× 360 1.3× 209 1.0× 19 2.4k
Eva Van Overmeire Belgium 16 1.3k 1.0× 767 0.6× 582 0.9× 233 0.8× 108 0.5× 20 1.9k
Sydney Gordon United States 8 1.7k 1.3× 1.4k 1.2× 740 1.2× 210 0.7× 293 1.4× 10 2.8k
Swetha Anandhan United States 9 899 0.7× 951 0.8× 612 1.0× 202 0.7× 209 1.0× 13 1.8k

Countries citing papers authored by Cheei‐Sing Hau

Since Specialization
Citations

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

Fields of papers citing papers by Cheei‐Sing Hau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheei‐Sing Hau. 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 Cheei‐Sing Hau. The network helps show where Cheei‐Sing Hau may publish in the future.

Co-authorship network of co-authors of Cheei‐Sing Hau

This figure shows the co-authorship network connecting the top 25 collaborators of Cheei‐Sing Hau. A scholar is included among the top collaborators of Cheei‐Sing Hau 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 Cheei‐Sing Hau. Cheei‐Sing Hau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Garner, Hannah, Ning Qing Liu, Noor A. M. Bakker, et al.. (2025). Understanding and reversing mammary tumor-driven reprogramming of myelopoiesis to reduce metastatic spread. Cancer Cell. 43(7). 1279–1295.e9. 9 indexed citations
2.
Blomberg, Olga, Kevin Kos, Lorenzo Spagnuolo, et al.. (2023). Neoadjuvant immune checkpoint blockade triggers persistent and systemic T reg activation which blunts therapeutic efficacy against metastatic spread of breast tumors. OncoImmunology. 12(1). 2201147–2201147. 11 indexed citations
3.
Kos, Kevin, Muhammad Assad Aslam, Rieneke van de Ven, et al.. (2022). Tumor-educated Tregs drive organ-specific metastasis in breast cancer by impairing NK cells in the lymph node niche. Cell Reports. 38(9). 110447–110447. 39 indexed citations
4.
Kos, Kevin, Camilla Salvagno, Max D. Wellenstein, et al.. (2022). Tumor-associated macrophages promote intratumoral conversion of conventional CD4 + T cells into regulatory T cells via PD-1 signalling. OncoImmunology. 11(1). 2063225–2063225. 23 indexed citations
5.
Waaijer, Stijn J.H., Frans V. Suurs, Cheei‐Sing Hau, et al.. (2021). Radiolabeled Monoclonal Antibody Against Colony-Stimulating Factor 1 Receptor Specifically Distributes to the Spleen and Liver in Immunocompetent Mice. Frontiers in Oncology. 11. 786191–786191. 4 indexed citations
6.
Salvagno, Camilla, Metamia Ciampricotti, Cheei‐Sing Hau, et al.. (2019). Therapeutic targeting of macrophages enhances chemotherapy efficacy by unleashing type I interferon response. Nature Cell Biology. 21(4). 511–521. 122 indexed citations
7.
Salvagno, Camilla, Theodore S. Kapellos, Cheei‐Sing Hau, et al.. (2019). Transcriptional Signature Derived from Murine Tumor-Associated Macrophages Correlates with Poor Outcome in Breast Cancer Patients. Cell Reports. 29(5). 1221–1235.e5. 23 indexed citations
8.
Wellenstein, Max D., Seth B. Coffelt, Danique E. M. Duits, et al.. (2019). Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis. Nature. 572(7770). 538–542. 361 indexed citations breakdown →
9.
Kersten, Kelly, Seth B. Coffelt, Marlous Hoogstraat, et al.. (2017). Mammary tumor-derived CCL2 enhances pro-metastatic systemic inflammation through upregulation of IL1β in tumor-associated macrophages. OncoImmunology. 6(8). e1334744–e1334744. 85 indexed citations
10.
Kersten, Kelly, Seth B. Coffelt, Niels J. M. Verstegen, et al.. (2016). Abstract A20: Mammary tumor-derived CCL2 enhances pro-metastatic systemic inflammation through upregulation of macrophage-derived IL1beta. Cancer Research. 76(7_Supplement). A20–A20. 4 indexed citations
11.
Doornebal, Chris W., Kim Vrijland, Cheei‐Sing Hau, et al.. (2015). Morphine does not facilitate breast cancer progression in two preclinical mouse models for human invasive lobular and HER2+ breast cancer. Pain. 156(8). 1424–1432. 37 indexed citations
12.
Coffelt, Seth B., Kelly Kersten, Chris W. Doornebal, et al.. (2015). IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis. Nature. 522(7556). 345–348. 1295 indexed citations breakdown →
13.
Doornebal, Chris W., Sjoerd Klarenbeek, Tanya M. Braumuller, et al.. (2012). A Preclinical Mouse Model of Invasive Lobular Breast Cancer Metastasis. Cancer Research. 73(1). 353–363. 55 indexed citations
14.
Visser, Karin E. de, Metamia Ciampricotti, Ewa M. Michalak, et al.. (2012). Developmental stage‐specific contribution of LGR5+ cells to basal and luminal epithelial lineages in the postnatal mammary gland. The Journal of Pathology. 228(3). 300–309. 129 indexed citations
15.
Ciampricotti, Metamia, Kim Vrijland, Cheei‐Sing Hau, et al.. (2010). Development of metastatic HER2+ breast cancer is independent of the adaptive immune system. The Journal of Pathology. 224(1). 56–66. 21 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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