Fotis Nikolos

1.1k total citations
20 papers, 720 citations indexed

About

Fotis Nikolos is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Fotis Nikolos has authored 20 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Fotis Nikolos's work include Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Fotis Nikolos is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Fotis Nikolos collaborates with scholars based in United States, Taiwan and Macao. Fotis Nikolos's co-authors include Keith Syson Chan, Christoforos Thomas, Kazukuni Hayashi, Igor Bado, Jan-Ακε Gustafsson, Antonina V. Kurtova, Efrosini Tsouko, Sung Yun Jung, Antrix Jain and Hon‐Chiu Eastwood Leung and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Fotis Nikolos

18 papers receiving 718 citations

Peers

Fotis Nikolos

ONCOL

IMMUN

PRM

SURGE

Cenap Güngör Germany

Divya Thomas United States

Cecilia Monge United States

Nina G. Steele United States

Anna M. Chiarella United States

Jonathan F. Anker United States

Abhijit Aithal United States

Xiubao Ren China

Audrey Bouillez United States

Cenap Güngör Germany

Fotis Nikolos

544 ×1.6

393 ×1.4

ONCOL

145 ×0.9

IMMUN

108 ×0.7

PRM

130 ×1.0

SURGE

Citations per year, relative to Fotis Nikolos Fotis Nikolos (= 1×) peers Cenap Güngör

Countries citing papers authored by Fotis Nikolos

Since Specialization

Citations

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

Fields of papers citing papers by Fotis Nikolos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fotis Nikolos

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

All Works

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20 of 20 papers shown

Gao, Hongbo, Yu‐Cheng Lee, Kazukuni Hayashi, et al.. (2025). Caspase-1–dependent pyroptosis converts αSMA ⁺ CAFs into collagen-III ^high iCAFs to fuel chemoresistant cancer stem cells. Science Advances. 11(24). eadt8697–eadt8697. 4 indexed citations

Farina, Marco, Yitian Xu, Junjun Zheng, et al.. (2025). Immune and Angiogenic Profiling of Mesenchymal Stem Cell Functions in a Subcutaneous Microenvironment for Allogeneic Islet Transplantation. Advanced Science. 12(20). e2411574–e2411574.

Zhang, Pengzhi, Tu Tran, Shengyu Li, et al.. (2025). Thor: a platform for cell-level investigation of spatial transcriptomics and histology. Nature Communications. 16(1). 7178–7178. 3 indexed citations

Shroff, Raghav, Jenying Deng, Jianying Zhou, et al.. (2025). Abstract 3525: Neo20 mRNA vaccine induces neoantigen-specific T cell immunity in humanized patient-derived xenograft mouse models of triple-negative breast cancer. Cancer Research. 85(8_Supplement_1). 3525–3525.

Baboo, Sabyasachi, Syed Muhammad Hamid, Özlem Tufanlı, et al.. (2022). Intercepting IRE1 kinase‐FMRP signaling prevents atherosclerosis progression. EMBO Molecular Medicine. 14(4). e15344–e15344. 26 indexed citations

Nikolos, Fotis, Kazukuni Hayashi, Qianxing Mo, et al.. (2022). Cell death-induced immunogenicity enhances chemoimmunotherapeutic response by converting immune-excluded into T-cell inflamed bladder tumors. Nature Communications. 13(1). 34 indexed citations

Thomas, Christoforos, Ilias V. Karagounis, Nicholas Vrettos, et al.. (2021). Estrogen Receptor β-Mediated Inhibition of Actin-Based Cell Migration Suppresses Metastasis of Inflammatory Breast Cancer. Cancer Research. 81(9). 2399–2414. 11 indexed citations

Hayashi, Kazukuni, Fotis Nikolos, Antrix Jain, et al.. (2020). Tipping the immunostimulatory and inhibitory DAMP balance to harness immunogenic cell death. Nature Communications. 11(1). 6299–6299. 212 indexed citations

Lee, Yu‐Cheng, Antonina V. Kurtova, Jing Xiao, et al.. (2019). Collagen-rich airway smooth muscle cells are a metastatic niche for tumor colonization in the lung. Nature Communications. 10(1). 2131–2131. 34 indexed citations

10.

White, Mark A., Efrosini Tsouko, Chenchu Lin, et al.. (2018). GLUT12 promotes prostate cancer cell growth and is regulated by androgens and CaMKK2 signaling. Endocrine Related Cancer. 25(4). 453–469. 48 indexed citations

11.

Mo, Qianxing, Fotis Nikolos, Fengju Chen, et al.. (2018). Prognostic Power of a Tumor Differentiation Gene Signature for Bladder Urothelial Carcinomas. JNCI Journal of the National Cancer Institute. 110(5). 448–459. 101 indexed citations

12.

Kaochar, Salma, Jianrong Dong, Kimal Rajapakshe, et al.. (2018). ICG-001 Exerts Potent Anticancer Activity Against Uveal Melanoma Cells. Investigative Ophthalmology & Visual Science. 59(1). 132–132. 20 indexed citations

13.

Bado, Igor, et al.. (2018). ERβ alters the chemosensitivity of luminal breast cancer cells by regulating p53 function. Oncotarget. 9(32). 22509–22522. 17 indexed citations

14.

Nikolos, Fotis, Christoforos Thomas, Igor Bado, & Jan-Ακε Gustafsson. (2017). ERβ Sensitizes NSCLC to Chemotherapy by Regulating DNA Damage Response. Molecular Cancer Research. 16(2). 233–242. 16 indexed citations

15.

Bado, Igor, Fotis Nikolos, Wanfu Wu, et al.. (2017). Somatic loss of estrogen receptor beta and p53 synergize to induce breast tumorigenesis. Breast Cancer Research. 19(1). 79–79. 20 indexed citations

16.

Bado, Igor, et al.. (2016). ERβ decreases the invasiveness of triple-negative breast cancer cells by regulating mutant p53 oncogenic function. Oncotarget. 7(12). 13599–13611. 37 indexed citations

17.

Nikolos, Fotis, et al.. (2014). ERβ Regulates NSCLC Phenotypes by Controlling Oncogenic RAS Signaling. Molecular Cancer Research. 12(6). 843–854. 16 indexed citations

18.

Nikolos, Fotis, et al.. (2014). ERβ decreases breast cancer cell survival by regulating the IRE1/XBP-1 pathway. Oncogene. 34(31). 4130–4141. 44 indexed citations

19.

Thomas, Christoforos, Fotis Nikolos, Ruixin Hao, et al.. (2012). ERβ1 represses basal-like breast cancer epithelial to mesenchymal transition by destabilizing EGFR. Breast Cancer Research. 14(6). R148–R148. 76 indexed citations

20.

Thomas, Christoforos, et al.. (2011). Abstract 1384: Estrogen receptor beta inhibits migration and invasion of breast cancer cells by regulating E-cadherin levels. Cancer Research. 71(8_Supplement). 1384–1384. 1 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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