Jiekun Yang

1.3k total citations
24 papers, 728 citations indexed

About

Jiekun Yang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Jiekun Yang has authored 24 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Oncology. Recurrent topics in Jiekun Yang's work include Genomics and Chromatin Dynamics (5 papers), Genetic Associations and Epidemiology (4 papers) and Adipose Tissue and Metabolism (4 papers). Jiekun Yang is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Genetic Associations and Epidemiology (4 papers) and Adipose Tissue and Metabolism (4 papers). Jiekun Yang collaborates with scholars based in United States, China and Finland. Jiekun Yang's co-authors include Mazhar Adli, Cem Kuscu, Turan Tufan, Xiaolong Wei, Karol Szlachta, Rashad Mammadov, Mahmut Parlak, M D Li, Ming D. Li and Manolis Kellis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Metabolism.

In The Last Decade

Jiekun Yang

21 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiekun Yang United States 13 561 151 110 100 62 24 728
David Yao United States 10 479 0.9× 95 0.6× 39 0.4× 44 0.4× 31 0.5× 12 642
Kamila Gwiazda United States 7 456 0.8× 208 1.4× 41 0.4× 113 1.1× 100 1.6× 10 727
Turan Tufan United States 11 483 0.9× 120 0.8× 19 0.2× 63 0.6× 35 0.6× 17 611
Lichun Tang China 10 510 0.9× 79 0.5× 58 0.5× 37 0.4× 38 0.6× 22 649
James Li United States 10 474 0.8× 135 0.9× 30 0.3× 217 2.2× 12 0.2× 39 700
Simon E. Tröder Germany 7 468 0.8× 60 0.4× 43 0.4× 15 0.1× 48 0.8× 11 535
Sushil Devkota South Korea 11 226 0.4× 33 0.2× 69 0.6× 42 0.4× 113 1.8× 16 373
Branden A. Smeester United States 12 396 0.7× 122 0.8× 92 0.8× 250 2.5× 30 0.5× 18 641
Alok Dhar United States 13 301 0.5× 54 0.4× 60 0.5× 39 0.4× 36 0.6× 15 566
Suzy Markossian France 12 572 1.0× 129 0.9× 19 0.2× 51 0.5× 11 0.2× 19 711

Countries citing papers authored by Jiekun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiekun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiekun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiekun Yang. A scholar is included among the top collaborators of Jiekun Yang 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 Jiekun Yang. Jiekun Yang 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.
Mao, Qingqing, et al.. (2026). Impaired nitrogenous waste clearance promotes hepatocellular carcinoma. Science Advances. 12(2). eaec0766–eaec0766.
2.
Qiu, Michael, Xi-Jiang Hu, Fenghuang Zhan, et al.. (2025). GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. 3805–3819.
3.
Liu, Wendi, et al.. (2024). Antigen presenting cells in cancer immunity and mediation of immune checkpoint blockade. Clinical & Experimental Metastasis. 41(4). 333–349. 12 indexed citations
4.
Wei, Xiaolong, Lucas Carter, Jiekun Yang, et al.. (2024). Depletion of lamins B1 and B2 promotes chromatin mobility and induces differential gene expression by a mesoscale-motion-dependent mechanism. Genome biology. 25(1). 77–77. 16 indexed citations
5.
Liu, Wendi, et al.. (2023). Dissecting the tumor microenvironment in response to immune checkpoint inhibitors via single-cell and spatial transcriptomics. Clinical & Experimental Metastasis. 41(4). 313–332. 11 indexed citations
6.
Nigro, Pasquale, Maria Vamvini, Jiekun Yang, et al.. (2023). Exercise training remodels inguinal white adipose tissue through adaptations in innervation, vascularization, and the extracellular matrix. Cell Reports. 42(4). 112392–112392. 24 indexed citations
7.
Vokes, Natalie I., Cora A. Ricker, Emily Robitschek, et al.. (2023). Abstract 3271: Multiomic meta-analysis of differential response to PD-1 and CTLA-4 blockade in metastatic melanoma. Cancer Research. 83(7_Supplement). 3271–3271. 1 indexed citations
8.
Yang, Jiekun, Maria Vamvini, Pasquale Nigro, et al.. (2022). Single-cell dissection of the obesity-exercise axis in adipose-muscle tissues implies a critical role for mesenchymal stem cells. Cell Metabolism. 34(10). 1578–1593.e6. 65 indexed citations
9.
Yang, Zhongli, Jiekun Yang, Ying Mao, & Ming D. Li. (2022). Investigation of the genetic effect of 56 tobacco-smoking susceptibility genes on DNA methylation and RNA expression in human brain. Frontiers in Psychiatry. 13. 924062–924062. 3 indexed citations
10.
Yang, Jiekun, Maria Vamvini, Pasquale Nigro, et al.. (2022). Single-Cell Dissection of Obesity-Exercise Axis in Adipose-Muscle Tissues Reveals Central Role of Mesenchymal Stem Cells. SSRN Electronic Journal.
11.
Wei, Xiaolong, Jiekun Yang, Sara J. Adair, et al.. (2020). Targeted CRISPR screening identifies PRMT5 as synthetic lethality combinatorial target with gemcitabine in pancreatic cancer cells. Proceedings of the National Academy of Sciences. 117(45). 28068–28079. 60 indexed citations
12.
Shang, Stephen, Jiekun Yang, Amir A. Jazaeri, et al.. (2019). Chemotherapy-Induced Distal Enhancers Drive Transcriptional Programs to Maintain the Chemoresistant State in Ovarian Cancer. Cancer Research. 79(18). 4599–4611. 44 indexed citations
13.
Yang, Jiekun & Mazhar Adli. (2019). Mapping and Making Sense of Noncoding Mutations in the Genome. Cancer Research. 79(17). 4309–4314. 7 indexed citations
14.
Szlachta, Karol, Cem Kuscu, Turan Tufan, et al.. (2018). CRISPR knockout screening identifies combinatorial drug targets in pancreatic cancer and models cellular drug response. Nature Communications. 9(1). 4275–4275. 57 indexed citations
15.
Yang, Jiekun, Xiaolong Wei, Turan Tufan, et al.. (2018). Recurrent mutations at estrogen receptor binding sites alter chromatin topology and distal gene expression in breast cancer. Genome biology. 19(1). 190–190. 19 indexed citations
16.
17.
Yang, Jiekun, Shaolin Wang, Zhugen Yang, et al.. (2014). The contribution of rare and common variants in 30 genes to risk nicotine dependence. Molecular Psychiatry. 20(11). 1467–1478. 51 indexed citations
18.
Cui, Wenyan, Shaolin Wang, Jiekun Yang, et al.. (2013). Significant association of CHRNB3 variants with nicotine dependence in multiple ethnic populations. Molecular Psychiatry. 18(11). 1149–1151. 18 indexed citations
19.
Sin, Sei‐Ching Joanna, et al.. (2011). International students' acculturation information seeking: Personality, information needs and uses. Proceedings of the American Society for Information Science and Technology. 48(1). 1–4. 18 indexed citations
20.
Shi, Xiangyang, et al.. (2006). Expression Optimization and Characterization of the Catalytic Domain of Human MT3-MMP1. Chemical Research in Chinese Universities. 22(2). 129–133. 3 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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