Ruben Bill

2.7k total citations · 2 hit papers
20 papers, 1.2k citations indexed

About

Ruben Bill is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ruben Bill has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Ruben Bill's work include Cancer Immunotherapy and Biomarkers (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer Cells and Metastasis (4 papers). Ruben Bill is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer Cells and Metastasis (4 papers). Ruben Bill collaborates with scholars based in Switzerland, United States and Germany. Ruben Bill's co-authors include Gerhard Christofori, Mikäel J. Pittet, Marius Messemaker, Allon M. Klein, Ernesta Fagiani, Genevieve M. Gerhard, Robert Ivánek, Stefanie Tiede, Laura Pisarsky and Jörg Hagmann and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Hepatology.

In The Last Decade

Ruben Bill

20 papers receiving 1.2k citations

Hit Papers

Distinct contributions of partial and full EMT to breast ... 2021 2026 2022 2024 2021 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruben Bill Switzerland 11 557 554 374 333 118 20 1.2k
Veronica Catalano Italy 11 657 1.2× 694 1.3× 239 0.6× 337 1.0× 112 0.9× 11 1.3k
Evangeline Mose United States 18 563 1.0× 551 1.0× 283 0.8× 239 0.7× 105 0.9× 25 1.2k
Rama Krishna Nimmakayala United States 18 740 1.3× 547 1.0× 247 0.7× 341 1.0× 159 1.3× 28 1.2k
Molly A. Taylor United States 18 970 1.7× 624 1.1× 432 1.2× 510 1.5× 146 1.2× 30 1.7k
Marcus Bosenberg United States 13 801 1.4× 384 0.7× 188 0.5× 322 1.0× 123 1.0× 20 1.2k
Huocong Huang United States 18 493 0.9× 803 1.4× 464 1.2× 254 0.8× 114 1.0× 33 1.3k
Hallvard Haugen Norway 6 515 0.9× 517 0.9× 414 1.1× 181 0.5× 91 0.8× 10 1.1k
Mikkel G. Terp Denmark 19 637 1.1× 404 0.7× 270 0.7× 342 1.0× 210 1.8× 42 1.2k
T.S. Karin Eisinger‐Mathason United States 20 761 1.4× 392 0.7× 214 0.6× 465 1.4× 176 1.5× 30 1.3k

Countries citing papers authored by Ruben Bill

Since Specialization
Citations

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

Fields of papers citing papers by Ruben Bill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruben Bill

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

All Works

20 of 20 papers shown
1.
Özdemir, Berna C., Ruben Bill, Alper Okyar, et al.. (2025). Chrono-immunotherapy as a low-hanging fruit for cancer treatment? A call for pragmatic randomized clinical trials. Journal for ImmunoTherapy of Cancer. 13(3). e010644–e010644. 1 indexed citations
2.
Oh, Juhyun, Jonathan Carlson, Ruben Bill, et al.. (2025). Spatial analysis identifies DC niches as predictors of pembrolizumab therapy in head and neck squamous cell cancer. Cell Reports Medicine. 6(5). 102100–102100. 1 indexed citations
3.
Gungabeesoon, Jeremy, Nicolas A. Gort-Freitas, Máté Kiss, et al.. (2023). A neutrophil response linked to tumor control in immunotherapy. Cell. 186(7). 1448–1464.e20. 229 indexed citations breakdown →
4.
Bill, Ruben, William C. Faquin, & Sara I. Pai. (2023). Assessing PD-L1 Expression in Head and Neck Squamous Cell Carcinoma: Trials and Tribulations. Head and Neck Pathology. 17(4). 969–975. 10 indexed citations
5.
Cianciaruso, Chiara, Ruben Bill, Marcel P. Trefny, et al.. (2023). Dual TLR9 and PD-L1 targeting unleashes dendritic cells to induce durable antitumor immunity. Journal for ImmunoTherapy of Cancer. 11(5). e006714–e006714. 14 indexed citations
6.
Lüönd, Fabiana, Nami Sugiyama, Ruben Bill, et al.. (2021). Distinct contributions of partial and full EMT to breast cancer malignancy. Developmental Cell. 56(23). 3203–3221.e11. 250 indexed citations breakdown →
7.
Bill, Ruben, Daniel G. Deschler, Mikäel J. Pittet, et al.. (2021). Diagnostic challenges and successful organ‐preserving therapy in a case of secretory carcinoma of minor salivary glands. Cancer Reports. 5(3). e1491–e1491. 8 indexed citations
8.
Gerhard, Genevieve M., Ruben Bill, Marius Messemaker, Allon M. Klein, & Mikäel J. Pittet. (2020). Tumor-infiltrating dendritic cell states are conserved across solid human cancers. The Journal of Experimental Medicine. 218(1). 148 indexed citations
9.
Tiede, Stefanie, Nathalie Meyer‐Schaller, Ravi Kiran Reddy Kalathur, et al.. (2018). The FAK inhibitor BI 853520 exerts anti-tumor effects in breast cancer. Oncogenesis. 7(9). 73–73. 57 indexed citations
10.
Lüönd, Fabiana, et al.. (2018). A Transgenic MMTV-Flippase Mouse Line for Molecular Engineering in Mammary Gland and Breast Cancer Mouse Models. Journal of Mammary Gland Biology and Neoplasia. 24(1). 39–45. 6 indexed citations
12.
Wiedmer, Tabea, Annika Blank, Ruben Bill, et al.. (2017). Autophagy Inhibition Improves Sunitinib Efficacy in Pancreatic Neuroendocrine Tumors via a Lysosome-dependent Mechanism. Molecular Cancer Therapeutics. 16(11). 2502–2515. 55 indexed citations
13.
Fagiani, Ernesta, et al.. (2016). VEGF receptor-2-specific signaling mediated by VEGF-E induces hemangioma-like lesions in normal and in malignant tissue. Angiogenesis. 19(3). 339–358. 7 indexed citations
14.
Pisarsky, Laura, Ruben Bill, Ernesta Fagiani, et al.. (2016). Targeting Metabolic Symbiosis to Overcome Resistance to Anti-angiogenic Therapy. Cell Reports. 15(6). 1161–1174. 164 indexed citations
15.
Bill, Ruben & Gerhard Christofori. (2016). The Rip1Tag2 Transgenic Mouse Model. Methods in molecular biology. 1464. 151–161. 3 indexed citations
16.
Lüthi, Urs, François Lehembre, Tobias Fink, et al.. (2016). A high-content EMT screen identifies multiple receptor tyrosine kinase inhibitors with activity on TGFβ receptor. Oncotarget. 7(18). 25983–26002. 19 indexed citations
17.
Bill, Ruben, Ernesta Fagiani, Adrian Zumsteg, et al.. (2015). Nintedanib Is a Highly Effective Therapeutic for Neuroendocrine Carcinoma of the Pancreas (PNET) in the Rip1Tag2 Transgenic Mouse Model. Clinical Cancer Research. 21(21). 4856–4867. 27 indexed citations
18.
Fagiani, Ernesta, Ruben Bill, Laura Pisarsky, et al.. (2015). An immature B cell population from peripheral blood serves as surrogate marker for monitoring tumor angiogenesis and anti-angiogenic therapy in mouse models. Angiogenesis. 18(3). 327–345. 10 indexed citations
19.
Bill, Ruben & Gerhard Christofori. (2015). The relevance of EMT in breast cancer metastasis: Correlation or causality?. FEBS Letters. 589(14). 1577–1587. 152 indexed citations
20.
Bill, Ruben, Axinia Döring, Urban Deutsch, & Britta Engelhardt. (2010). PSGL-1 is dispensible for the development of active experimental autoimmune encephalomyelitis in SJL/J mice. Journal of Neuroimmunology. 232(1-2). 207–208. 8 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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