Yasin Uzun

1.6k total citations
19 papers, 479 citations indexed

About

Yasin Uzun is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Yasin Uzun has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Cell Biology. Recurrent topics in Yasin Uzun's work include Single-cell and spatial transcriptomics (7 papers), Epigenetics and DNA Methylation (4 papers) and Zebrafish Biomedical Research Applications (3 papers). Yasin Uzun is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Epigenetics and DNA Methylation (4 papers) and Zebrafish Biomedical Research Applications (3 papers). Yasin Uzun collaborates with scholars based in United States, Slovakia and Sweden. Yasin Uzun's co-authors include Kai Tan, Peng Gao, Qin Zhu, Changya Chen, Wenbao Yu, Bing He, Nancy A. Speck, Joanna Tober, Elizabeth D. Howell and Chia‐Hui Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Yasin Uzun

14 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yasin Uzun United States	10	290	150	135	102	78	19	479
Mercy Gohil United States	8	260 0.9×	198 1.3×	184 1.4×	76 0.7×	83 1.1×	15	530
Ken Nguyen United States	7	263 0.9×	127 0.8×	181 1.3×	83 0.8×	67 0.9×	12	526
Timothy Sadlon Australia	15	278 1.0×	240 1.6×	100 0.7×	37 0.4×	87 1.1×	30	567
Asmin Tulpule United States	7	321 1.1×	91 0.6×	81 0.6×	48 0.5×	51 0.7×	9	474
Huen Suk Kim United States	9	382 1.3×	100 0.7×	98 0.7×	27 0.3×	74 0.9×	11	570
Simone S. Riedel United States	14	262 0.9×	134 0.9×	81 0.6×	34 0.3×	47 0.6×	30	481
Kathleen S. Ensbey Australia	12	251 0.9×	76 0.5×	138 1.0×	30 0.3×	72 0.9×	22	430
Sílvia Batista United Kingdom	11	278 1.0×	93 0.6×	161 1.2×	108 1.1×	116 1.5×	17	491
Fiona Clarke United Kingdom	13	155 0.5×	190 1.3×	87 0.6×	83 0.8×	20 0.3×	16	427
Elena García Spain	5	546 1.9×	98 0.7×	485 3.6×	88 0.9×	119 1.5×	5	747

Countries citing papers authored by Yasin Uzun

Since Specialization

Citations

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

Fields of papers citing papers by Yasin Uzun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasin Uzun

This figure shows the co-authorship network connecting the top 25 collaborators of Yasin Uzun. A scholar is included among the top collaborators of Yasin Uzun 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 Uzun. Yasin Uzun 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:

19 of 19 papers shown

Uzun, Yasin, et al.. (2025). Noncoding RNA, ncRNA-a3 , Epigenetically Regulates TAL1 Transcriptional Program During Erythropoiesis. Molecular and Cellular Biology. 45(4). 169–184. 2 indexed citations

Daniyal, Muhammad, et al.. (2025). CK2α Deletion in the Hematopoietic Compartment Shows a Mild Alteration in Terminally Differentiated Cells and the Expansion of Stem Cells. Cells. 14(13). 963–963.

Uzun, Yasin, et al.. (2024). Approaches for Benchmarking Single-Cell Gene Regulatory Network Methods. Bioinformatics and Biology Insights. 18. 769852368–769852368. 1 indexed citations

Uzun, Yasin, et al.. (2024). Advances in computational and experimental approaches for deciphering transcriptional regulatory networks. BioEssays. 46(7). e2300210–e2300210.

Elcheva, Irina, Svetlana Gornostaeva, Anna F. Fakhardo, et al.. (2023). IGF2BP family of RNA-binding proteins regulate innate and adaptive immune responses in cancer cells and tumor microenvironment. Frontiers in Immunology. 14. 1224516–1224516. 33 indexed citations

Uzun, Yasin, Hao Wu, & Kai Tan. (2023). Integrating Single-Cell Methylome and Transcriptome Data with MAPLE. Methods in molecular biology. 2624. 43–54.

Purandare, Ashok V., et al.. (2023). Abstract 4004: Targeting drug-resistant acute myeloid leukemia (AML) cells using novel casein kinase II (CK2) inhibitor. Cancer Research. 83(7_Supplement). 4004–4004.

Hattori, Tatsuya, Xinwen Liang, Xiaoming Liu, et al.. (2023). ER stress elicits non-canonical CASP8 (caspase 8) activation on autophagosomal membranes to induce apoptosis. Autophagy. 20(2). 349–364. 7 indexed citations

Morral, Clara, Tatiana A. Karakasheva, Yusen Zhou, et al.. (2023). Isolation of Epithelial and Stromal Cells from Colon Tissues in Homeostasis and Under Inflammatory Conditions. BIO-PROTOCOL. 13(18). e4825–e4825. 6 indexed citations

10.

Dovat, Sinisa, et al.. (2023). Abstract 392: Targeting drug-resistant acute myeloid leukemia (AML) clone using casein kinase II inhibitor. Cancer Research. 83(7_Supplement). 392–392.

11.

Wolpaw, Adam J., Patricia Brafford, Guillem Pascual‐Pasto, et al.. (2022). Epigenetic state determines inflammatory sensing in neuroblastoma. Proceedings of the National Academy of Sciences. 119(6). 28 indexed citations

12.

Yang, Yi‐Qing, Melanie Mumau, Joanna Tober, et al.. (2022). Endothelial MEKK3-KLF2/4 signaling integrates inflammatory and hemodynamic signals during definitive hematopoiesis. Blood. 139(19). 2942–2957. 11 indexed citations

13.

Chen, Gregory M., Changya Chen, Rajat K. Das, et al.. (2021). Integrative Bulk and Single-Cell Profiling of Premanufacture T-cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-cell Therapy. Cancer Discovery. 11(9). 2186–2199. 124 indexed citations

14.

Zhu, Qin, Peng Gao, Joanna Tober, et al.. (2020). Developmental trajectory of prehematopoietic stem cell formation from endothelium. Blood. 136(7). 845–856. 107 indexed citations

15.

Uzun, Yasin, Hao Wu, & Kai Tan. (2020). Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data. Genome Research. 31(1). 101–109. 15 indexed citations

16.

Yu, Wenbao, Yasin Uzun, Qin Zhu, Changya Chen, & Kai Tan. (2020). scATAC-pro: a comprehensive workbench for single-cell chromatin accessibility sequencing data. Genome biology. 21(1). 94–94. 37 indexed citations

17.

Gao, Peng, Changya Chen, Elizabeth D. Howell, et al.. (2020). Transcriptional regulatory network controlling the ontogeny of hematopoietic stem cells. Genes & Development. 34(13-14). 950–964. 37 indexed citations

18.

Gao, Peng, Yasin Uzun, Bing He, et al.. (2019). Risk variants disrupting enhancers of T _H 1 and T _REG cells in type 1 diabetes. Proceedings of the National Academy of Sciences. 116(15). 7581–7590. 31 indexed citations

19.

Gao, Long, Yasin Uzun, Peng Gao, et al.. (2018). Identifying noncoding risk variants using disease-relevant gene regulatory networks. Nature Communications. 9(1). 702–702. 40 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.

Explore authors with similar magnitude of impact