Tamer T. Önder

11.8k total citations · 7 hit papers
44 papers, 8.3k citations indexed

About

Tamer T. Önder is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tamer T. Önder has authored 44 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Tamer T. Önder's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (14 papers) and Epigenetics and DNA Methylation (13 papers). Tamer T. Önder is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (14 papers) and Epigenetics and DNA Methylation (13 papers). Tamer T. Önder collaborates with scholars based in Türkiye, United States and United Kingdom. Tamer T. Önder's co-authors include Robert A. Weinberg, Eric S. Lander, Piyush B. Gupta, Charlotte Kuperwasser, Guozhi Jiang, Kai Tao, Sendurai A. Mani, Jing Yang, George Q. Daley and Jennifer J. Young and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tamer T. Önder

41 papers receiving 8.2k citations

Hit Papers

Identification of Selecti... 2008 2026 2014 2020 2009 2008 2010 2010 2010 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamer T. Önder Türkiye 22 5.9k 3.3k 2.5k 701 624 44 8.3k
Alana L. Welm United States 41 4.0k 0.7× 2.4k 0.7× 1.8k 0.7× 494 0.7× 745 1.2× 97 6.5k
Murray D. Norris Australia 46 4.8k 0.8× 3.1k 0.9× 1.6k 0.6× 795 1.1× 497 0.8× 197 8.2k
Karen Blyth United Kingdom 43 4.7k 0.8× 1.9k 0.6× 2.2k 0.9× 630 0.9× 563 0.9× 134 7.0k
Tsukasa Shibue United States 20 4.6k 0.8× 3.6k 1.1× 1.7k 0.7× 824 1.2× 589 0.9× 28 7.2k
Asha S. Multani United States 40 5.0k 0.8× 3.3k 1.0× 1.9k 0.8× 677 1.0× 650 1.0× 126 8.2k
Ming Yao China 52 6.3k 1.1× 1.9k 0.6× 4.3k 1.7× 460 0.7× 771 1.2× 139 8.8k
Jinjun Li China 45 4.8k 0.8× 1.7k 0.5× 3.1k 1.3× 473 0.7× 553 0.9× 137 7.0k
Rosalie C. Sears United States 48 7.4k 1.3× 3.6k 1.1× 1.5k 0.6× 1.0k 1.4× 477 0.8× 137 9.5k
Fred Bunz United States 32 6.6k 1.1× 3.7k 1.1× 2.1k 0.9× 1.2k 1.8× 401 0.6× 58 8.7k
Michael T. Lewis United States 43 3.6k 0.6× 3.6k 1.1× 1.6k 0.6× 341 0.5× 757 1.2× 110 6.5k

Countries citing papers authored by Tamer T. Önder

Since Specialization
Citations

This map shows the geographic impact of Tamer T. Önder'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 Tamer T. Önder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamer T. Önder more than expected).

Fields of papers citing papers by Tamer T. Önder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamer T. Önder. 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 Tamer T. Önder. The network helps show where Tamer T. Önder may publish in the future.

Co-authorship network of co-authors of Tamer T. Önder

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer T. Önder. A scholar is included among the top collaborators of Tamer T. Önder 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 Tamer T. Önder. Tamer T. Önder 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.
Akbari, Soheil, Nevin Ersoy, Alper Bağrıyanık, et al.. (2025). Generation of Functional Endodermal Hepatic Organoids. Journal of Visualized Experiments.
2.
Gupta, Manoj Kumar, Tamer T. Önder, Birgit Perner, et al.. (2025). The histone-methyltransferase DOT1L cooperates with LSD1 to control cell division in blast-phase MPN. Leukemia. 39(10). 2406–2418. 1 indexed citations
3.
Gupta, Manoj Kumar, et al.. (2024). The Histone Methyltransferase DOT1L Cooperates with LSD1 to Control Cell Division in Blast-Phase MPN. Blood. 144(Supplement 1). 4519–4519.
4.
Erus, Suat, et al.. (2023). Combination of CEACAM5, EpCAM and CK19 gene expressions in mediastinal lymph node micrometastasis is a prognostic factor for non-small cell lung cancer. Journal of Cardiothoracic Surgery. 18(1). 189–189. 2 indexed citations
5.
Kayabölen, Alişan, Ahmet Cingöz, Tunç Morova, et al.. (2022). EPIKOL, a chromatin-focused CRISPR/Cas9-based screening platform, to identify cancer-specific epigenetic vulnerabilities. Cell Death and Disease. 13(8). 710–710. 12 indexed citations
7.
Tu, Zhenbo, Shengqi Hou, Yurong Zheng, et al.. (2021). In vivo library screening identifies the metabolic enzyme aldolase A as a promoter of metastatic lung colonization. iScience. 24(5). 102425–102425. 4 indexed citations
8.
Bildik, Gamze, Nazlı Akin, Kayhan Yakın, et al.. (2020). hCG Improves Luteal Function and Promotes Progesterone Output through the Activation of JNK Pathway in the Luteal Granulosa Cells of the Stimulated IVF Cycles†. Biology of Reproduction. 102(6). 1270–1280. 16 indexed citations
9.
Akbari, Soheil, Nevin Ersoy, Onur Başak, et al.. (2019). Robust, Long-Term Culture of Endoderm-Derived Hepatic Organoids for Disease Modeling. Stem Cell Reports. 13(4). 627–641. 107 indexed citations
10.
Morova, Tunç, Elisabete Pires, James McCullagh, et al.. (2019). Systematic characterization of chromatin modifying enzymes identifies KDM3B as a critical regulator in castration resistant prostate cancer. Oncogene. 39(10). 2187–2201. 29 indexed citations
11.
Cribbs, Adam P., Martin Philpott, Tunç Morova, et al.. (2019). Bromodomain inhibition of the coactivators CBP/EP300 facilitate cellular reprogramming. Nature Chemical Biology. 15(5). 519–528. 69 indexed citations
12.
Fidan, Kerem, et al.. (2015). Generation of integration-free induced pluripotent stem cells from a patient with Familial Mediterranean Fever (FMF). Stem Cell Research. 15(3). 694–696. 11 indexed citations
13.
Unternaehrer, Juli, Rui Zhao, Kitai Kim, et al.. (2014). The Epithelial-Mesenchymal Transition Factor SNAIL Paradoxically Enhances Reprogramming. Stem Cell Reports. 3(5). 691–698. 66 indexed citations
14.
Zhu, Jiang, Mazhar Adli, James Zou, et al.. (2013). Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues. Cell. 152(3). 642–654. 380 indexed citations
15.
Shyh‐Chang, Ng, Jason W. Locasale, Costas A. Lyssiotis, et al.. (2012). Influence of Threonine Metabolism on S -Adenosylmethionine and Histone Methylation. Science. 339(6116). 222–226. 506 indexed citations breakdown →
16.
Önder, Tamer T. & George Q. Daley. (2011). microRNAs become macro players in somatic cell reprogramming. Genome Medicine. 3(6). 40–40. 14 indexed citations
17.
Ma, Li, Jennifer J. Young, Harsha Prabhala, et al.. (2010). miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis. PMC. 1 indexed citations
18.
Gupta, Piyush B., Tamer T. Önder, Guozhi Jiang, et al.. (2009). Identification of Selective Inhibitors of Cancer Stem Cells by High-Throughput Screening. Cell. 138(4). 645–659. 1939 indexed citations breakdown →
19.
Önder, Tamer T., Piyush B. Gupta, Sendurai A. Mani, et al.. (2008). Loss of E-Cadherin Promotes Metastasis via Multiple Downstream Transcriptional Pathways. Cancer Research. 68(10). 3645–3654. 1221 indexed citations breakdown →
20.
Rai, Priyamvada, Tamer T. Önder, Jennifer J. Young, et al.. (2008). Continuous elimination of oxidized nucleotides is necessary to prevent rapid onset of cellular senescence. Proceedings of the National Academy of Sciences. 106(1). 169–174. 145 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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