Yuning J. Tang

583 total citations
20 papers, 322 citations indexed

About

Yuning J. Tang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yuning J. Tang has authored 20 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Yuning J. Tang's work include Cancer Cells and Metastasis (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and RNA modifications and cancer (3 papers). Yuning J. Tang is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and RNA modifications and cancer (3 papers). Yuning J. Tang collaborates with scholars based in United States, Canada and China. Yuning J. Tang's co-authors include Benjamin A. Alman, Hongyuan Zhang, Vijitha Puviindran, Puviindran Nadesan, Yasuhito Yahara, Tomokazu Souma, Jason Gibson, Simon G. Gregory, Mari L. Shinohara and Yarui Diao and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Cell Biology and Development.

In The Last Decade

Yuning J. Tang

18 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuning J. Tang United States 9 192 94 83 70 46 20 322
Céline Chipoy France 6 327 1.7× 171 1.8× 57 0.7× 81 1.2× 46 1.0× 7 448
Yawen Ju United States 12 205 1.1× 237 2.5× 42 0.5× 93 1.3× 34 0.7× 21 510
Xun Sun China 14 303 1.6× 123 1.3× 140 1.7× 47 0.7× 46 1.0× 31 456
Sonia D’Souza United States 9 165 0.9× 96 1.0× 54 0.7× 29 0.4× 17 0.4× 17 323
Tianhui Zhu China 10 262 1.4× 90 1.0× 132 1.6× 34 0.5× 21 0.5× 14 364
Е. К. Олейник Russia 7 151 0.8× 73 0.8× 135 1.6× 99 1.4× 22 0.5× 16 357
Chen Hao Lo United States 10 148 0.8× 167 1.8× 76 0.9× 132 1.9× 77 1.7× 17 366
Abhilash Gadi United States 13 376 2.0× 150 1.6× 140 1.7× 97 1.4× 44 1.0× 17 574
Yoriko Iwamoto Japan 7 187 1.0× 62 0.7× 58 0.7× 19 0.3× 12 0.3× 12 289
Ruchika Srinivasan United States 6 324 1.7× 122 1.3× 103 1.2× 119 1.7× 38 0.8× 6 481

Countries citing papers authored by Yuning J. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yuning J. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuning J. Tang. 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 Yuning J. Tang. The network helps show where Yuning J. Tang may publish in the future.

Co-authorship network of co-authors of Yuning J. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuning J. Tang. A scholar is included among the top collaborators of Yuning J. Tang 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 Yuning J. Tang. Yuning J. Tang 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.
Hebert, Jess D., Yuning J. Tang, Paloma Ruiz, et al.. (2025). Efficient and multiplexed somatic genome editing with Cas12a mice. Nature Biomedical Engineering. 9(11). 1982–1997. 2 indexed citations
2.
Hebert, Jess D., Yuning J. Tang, Laura Andrejka, et al.. (2025). Combinatorial In Vivo Genome Editing Identifies Widespread Epistasis and an Accessible Fitness Landscape During Lung Tumorigenesis. Molecular Biology and Evolution. 42(2). 2 indexed citations
3.
Shuldiner, Emily G., Saswati Karmakar, Min K. Tsai, et al.. (2025). Aging represses oncogenic KRAS-driven lung tumorigenesis and alters tumor suppression. Nature Aging. 5(11). 2263–2278.
4.
Liu, Shuyan, Yiyuan Pan, Qinghui Zheng, et al.. (2025). Tumor-colonizing Pseudoalteromonas elyakovii metabolically reprograms the tumor microenvironment and promotes breast ductal carcinoma. mBio. 16(5). e0387324–e0387324. 3 indexed citations
5.
Ashkin, Emily L., Yuning J. Tang, King L. Hung, et al.. (2024). A STAG2-PAXIP1/PAGR1 axis suppresses lung tumorigenesis. The Journal of Experimental Medicine. 222(1).
6.
Tang, Yuning J., Emily G. Shuldiner, Saswati Karmakar, & Monte M. Winslow. (2023). High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo. Cold Spring Harbor Perspectives in Medicine. 13(7). a041382–a041382. 5 indexed citations
7.
Wang, Runqing, Jin Xu, Yuning J. Tang, et al.. (2023). Transcriptome-wide analysis reveals the coregulation of RNA-binding proteins and alternative splicing genes in the development of atherosclerosis. Scientific Reports. 13(1). 1764–1764. 10 indexed citations
8.
Tang, Yuning J., Yongxiang Wang, Shengxiang Wang, et al.. (2023). Methylation and transcriptomic expression profiles of HUVEC in the oxygen and glucose deprivation model and its clinical implications in AMI patients. Frontiers in Genetics. 14. 1293393–1293393. 2 indexed citations
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11.
Kirsch, David G., et al.. (2022). Abstract IA025: Using genetically engineered mouse models to study sarcoma metastasis. Clinical Cancer Research. 28(18_Supplement). IA025–IA025. 1 indexed citations
12.
Tang, Yuning J., Vijitha Puviindran, Yu Xiang, et al.. (2021). Tumor-propagating side population cells are a dynamic subpopulation in undifferentiated pleomorphic sarcoma. JCI Insight. 6(22). 2 indexed citations
13.
Yahara, Yasuhito, Tomasa Barrientos, Yuning J. Tang, et al.. (2020). Erythromyeloid progenitors give rise to a population of osteoclasts that contribute to bone homeostasis and repair. Nature Cell Biology. 22(1). 49–59. 134 indexed citations
14.
Zhang, Hongyuan, Vijitha Puviindran, Puviindran Nadesan, et al.. (2020). Distinct Roles of Glutamine Metabolism in Benign and Malignant Cartilage Tumors With IDH Mutations. Journal of Bone and Mineral Research. 37(5). 983–996. 12 indexed citations
15.
Hu, Guoli, Yilin Yu, Yuning J. Tang, et al.. (2020). The Amino Acid Sensor Eif2ak4/GCN2 Is Required for Proliferation of Osteoblast Progenitors in Mice. Journal of Bone and Mineral Research. 35(10). 2004–2014. 22 indexed citations
16.
Zhang, Hongyuan, Qingxia Wei, Hidetoshi Tsushima, et al.. (2019). Intracellular cholesterol biosynthesis in enchondroma and chondrosarcoma. JCI Insight. 4(11). 16 indexed citations
17.
Tang, Yuning J., Jianguo Huang, Hidetoshi Tsushima, et al.. (2019). Tracing Tumor Evolution in Sarcoma Reveals Clonal Origin of Advanced Metastasis. Cell Reports. 28(11). 2837–2850.e5. 24 indexed citations
18.
Tsushima, Hidetoshi, Yuning J. Tang, Vijitha Puviindran, et al.. (2018). Intracellular biosynthesis of lipids and cholesterol by Scap and Insig in mesenchymal cells regulates long bone growth and chondrocyte homeostasis. Development. 145(13). 21 indexed citations
19.
Sato, Shingo, Yuning J. Tang, Qingxia Wei, et al.. (2016). Mesenchymal Tumors Can Derive from Ng2/Cspg4-Expressing Pericytes with β-Catenin Modulating the Neoplastic Phenotype. Cell Reports. 16(4). 917–927. 34 indexed citations
20.
Wei, Qingxia, Yuning J. Tang, Véronique Voisin, et al.. (2015). Identification of CD146 as a marker enriched for tumor-propagating capacity reveals targetable pathways in primary human sarcoma. Oncotarget. 6(37). 40283–40294. 17 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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