Yasin Şenbabaoğlu

45.9k total citations · 3 hit papers
24 papers, 3.4k citations indexed

About

Yasin Şenbabaoğlu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yasin Şenbabaoğlu has authored 24 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 7 papers in Immunology. Recurrent topics in Yasin Şenbabaoğlu's work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (5 papers) and Bioinformatics and Genomic Networks (4 papers). Yasin Şenbabaoğlu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (5 papers) and Bioinformatics and Genomic Networks (4 papers). Yasin Şenbabaoğlu collaborates with scholars based in United States, United Kingdom and France. Yasin Şenbabaoğlu's co-authors include Chris Sander, Martin L. Miller, Nikolaus Schultz, Giovanni Ciriello, Bülent Arman Aksoy, A. Ari Hakimi, Nadeem Riaz, Jun Z. Li, George Michailidis and Timothy A. Chan and has published in prestigious journals such as Cell, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Yasin Şenbabaoğlu

23 papers receiving 3.4k 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.

Emerging landscape of oncogenic signatures across human cancers

2013 912 citations Giovanni Ciriello, Martin L. Miller et al. Nature Genetics profile →
The head and neck cancer immune landscape and its immunotherapeutic implications

2016 551 citations Rajarsi Mandal, Yasin Şenbabaoğlu et al. JCI Insight profile →
Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy

2019 522 citations Claudia X. Dominguez, Sören Müller et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yasin Şenbabaoğlu United States	17	1.7k	1.4k	1.2k	740	546	24	3.4k
Crispin Miller United Kingdom	38	3.7k 2.1×	1.1k 0.8×	1.8k 1.5×	460 0.6×	589 1.1×	94	5.4k
Keren Yizhak Israel	15	2.2k 1.3×	962 0.7×	1.2k 1.0×	456 0.6×	233 0.4×	28	3.1k
Hans Morreau Netherlands	33	1.7k 1.0×	1.5k 1.1×	835 0.7×	651 0.9×	455 0.8×	77	3.9k
Qianxing Mo United States	39	3.2k 1.9×	1.8k 1.3×	1.0k 0.9×	845 1.1×	933 1.7×	138	6.2k
Ahmed Shabaik United States	24	2.1k 1.2×	1.1k 0.8×	627 0.5×	698 0.9×	620 1.1×	71	3.8k
Valsamo Anagnostou United States	31	1.7k 1.0×	2.2k 1.6×	1.0k 0.9×	917 1.2×	1.2k 2.3×	112	4.4k
Giovanni Ciriello Switzerland	28	2.9k 1.7×	1.2k 0.9×	1.4k 1.2×	494 0.7×	631 1.2×	54	4.4k
Thomas Hielscher Germany	39	3.3k 1.9×	1.6k 1.1×	1.1k 1.0×	359 0.5×	570 1.0×	181	5.9k
Hannah Carter United States	31	2.6k 1.5×	945 0.7×	1.3k 1.1×	629 0.8×	393 0.7×	95	4.4k
Wei Keat Lim United States	19	2.5k 1.5×	753 0.5×	854 0.7×	838 1.1×	239 0.4×	43	4.4k

Countries citing papers authored by Yasin Şenbabaoğlu

Since Specialization

Citations

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

Fields of papers citing papers by Yasin Şenbabaoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasin Şenbabaoğlu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Şenbabaoğlu, Yasin, Aminollah Khormali, Elisa Warner, et al.. (2024). MOSBY enables multi-omic inference and spatial biomarker discovery from whole slide images. Scientific Reports. 14(1). 18271–18271. 2 indexed citations

Astarita, Jillian L., Shilpa Keerthivasan, Bushra Husain, et al.. (2021). The neutrophil protein CD177 is a novel PDPN receptor that regulates human cancer-associated fibroblast physiology. PLoS ONE. 16(12). e0260800–e0260800. 10 indexed citations

Keerthivasan, Shilpa, Yasin Şenbabaoğlu, Nadia Martinez-Martín, et al.. (2021). Homeostatic functions of monocytes and interstitial lung macrophages are regulated via collagen domain-binding receptor LAIR1. Immunity. 54(7). 1511–1526.e8. 46 indexed citations

Verschueren, Erik, Bushra Husain, Kobe Yuen, et al.. (2020). The Immunoglobulin Superfamily Receptome Defines Cancer-Relevant Networks Associated with Clinical Outcome. Cell. 182(2). 329–344.e19. 66 indexed citations

Zappasodi, Roberta, Inna Serganova, Ivan Cohen, et al.. (2020). Abstract 3257: CTLA-4 blockade drives loss of regulatory T cell functional stability in glycolysis defective tumors. Cancer Research. 80(16_Supplement). 3257–3257. 1 indexed citations

Dominguez, Claudia X., Sören Müller, Shilpa Keerthivasan, et al.. (2019). Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy. Cancer Discovery. 10(2). 232–253. 522 indexed citations breakdown →

Samie, Mohammad, Junghyun Lim, Erik Verschueren, et al.. (2018). Selective autophagy of the adaptor TRIF regulates innate inflammatory signaling. Nature Immunology. 19(3). 246–254. 107 indexed citations

Zappasodi, Roberta, Sadna Budhu, Matthew D. Hellmann, et al.. (2018). Non-conventional Inhibitory CD4+Foxp3−PD-1hi T Cells as a Biomarker of Immune Checkpoint Blockade Activity. Cancer Cell. 33(6). 1017–1032.e7. 113 indexed citations

Mariathasan, Sanjeev, Shannon J. Turley, Dorothee Nickles, et al.. (2018). Abstract 2979: A balance of genomic instability, tumor-immune contexture and TGF-β signaling contributing to exclusion of T cells governs response to PD-L1 checkpoint blockade. Cancer Research. 78(13_Supplement). 2979–2979.

10.

Mariathasan, Sanjeev, Shannon J. Turley, Dorothee Nickles, et al.. (2017). TGF-β signalling attenuates tumour response to PD-L1 checkpoint blockade by contributing to retention of T cells in the peritumoural stroma. Annals of Oncology. 28. xi30–xi30. 8 indexed citations

11.

Reznik, Ed, Martin L. Miller, Yasin Şenbabaoğlu, et al.. (2016). Mitochondrial DNA copy number variation across human cancers. eLife. 5. 376 indexed citations

12.

Şenbabaoğlu, Yasin, S. Onur Sumer, Francisco Sánchez-Vega, et al.. (2016). A Multi-Method Approach for Proteomic Network Inference in 11 Human Cancers. PLoS Computational Biology. 12(2). e1004765–e1004765. 24 indexed citations

13.

Mandal, Rajarsi, Yasin Şenbabaoğlu, Alexis Desrichard, et al.. (2016). The head and neck cancer immune landscape and its immunotherapeutic implications. JCI Insight. 1(17). e89829–e89829. 551 indexed citations breakdown →

14.

Sandhu, Romeil, Tryphon T. Georgiou, Ed Reznik, et al.. (2015). Graph Curvature for Differentiating Cancer Networks. Scientific Reports. 5(1). 12323–12323. 79 indexed citations

15.

D'Angelo, Rosemarie C., Maria Ouzounova, April Davis, et al.. (2015). Notch Reporter Activity in Breast Cancer Cell Lines Identifies a Subset of Cells with Stem Cell Activity. Molecular Cancer Therapeutics. 14(3). 779–787. 98 indexed citations

16.

Şenbabaoğlu, Yasin, George Michailidis, & Jun Z. Li. (2014). Critical limitations of consensus clustering in class discovery. Scientific Reports. 4(1). 6207–6207. 227 indexed citations

17.

Ciriello, Giovanni, Martin L. Miller, Bülent Arman Aksoy, et al.. (2013). Emerging landscape of oncogenic signatures across human cancers. Nature Genetics. 45(10). 1127–1133. 912 indexed citations breakdown →

18.

Şenbabaoğlu, Yasin, et al.. (2013). OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks. Bioinformatics. 29(11). 1416–1423. 24 indexed citations

19.

Li, Bo, et al.. (2012). Genomic Estimates of Aneuploid Content in Glioblastoma Multiforme and Improved Classification. Clinical Cancer Research. 18(20). 5595–5605. 27 indexed citations

20.

Zhang, Nancy R., Yasin Şenbabaoğlu, & Jun Z. Li. (2009). Joint estimation of DNA copy number from multiple platforms. Bioinformatics. 26(2). 153–160. 16 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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