Shangda Yang

1.5k total citations
19 papers, 1.1k citations indexed

About

Shangda Yang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Shangda Yang has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Shangda Yang's work include Ubiquitin and proteasome pathways (5 papers), DNA Repair Mechanisms (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Shangda Yang is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), DNA Repair Mechanisms (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Shangda Yang collaborates with scholars based in China, United States and Slovakia. Shangda Yang's co-authors include Lei Shi, Yongfeng Shang, Na Yu, Jing Liang, Nan Song, Ling Liu, Qi Zhang, Xing Zhou, Xin Li and Wanjin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Shangda Yang

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangda Yang China 12 785 265 184 180 140 19 1.1k
Ingrid Kolfschoten Netherlands 9 587 0.7× 188 0.7× 90 0.5× 50 0.3× 205 1.5× 12 808
Suzan Lazo-Kallanian United States 5 903 1.2× 185 0.7× 81 0.4× 43 0.2× 183 1.3× 9 1.5k
Young Jin Gi United States 11 800 1.0× 483 1.8× 176 1.0× 31 0.2× 338 2.4× 18 1.1k
Antonia Boyer United States 8 782 1.0× 134 0.5× 40 0.2× 45 0.3× 150 1.1× 14 1.0k
Michal Šimíček Czechia 13 821 1.0× 284 1.1× 339 1.8× 10 0.1× 104 0.7× 29 1.1k
Sybil M. Genther Williams United States 7 430 0.5× 215 0.8× 172 0.9× 10 0.1× 94 0.7× 8 781
Indira V. Subramanian United States 12 699 0.9× 101 0.4× 202 1.1× 16 0.1× 483 3.5× 15 1.0k
David F. Allison United States 14 1.2k 1.5× 235 0.9× 46 0.3× 14 0.1× 203 1.4× 16 1.4k
Mitchell E. Fane United States 14 556 0.7× 419 1.6× 48 0.3× 15 0.1× 183 1.3× 23 1.1k
Silvia Pandolfi Italy 14 676 0.9× 361 1.4× 39 0.2× 13 0.1× 140 1.0× 19 870

Countries citing papers authored by Shangda Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shangda Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangda Yang

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

All Works

19 of 19 papers shown
1.
Li, Yue, Jingyuan Tong, Xiaorong Zhang, et al.. (2025). Leukemia-expanded splenic CD81+ erythroblasts potentiate disease progression in mice by reshaping leukemic cell metabolism. Journal of Clinical Investigation. 135(24).
2.
Zhao, Hongping, Dalin Zhang, Shangda Yang, et al.. (2025). Observation of strain-modulated topological insulator and semimetal states in monolayer 1T′-MoTe2. Applied Physics Letters. 126(15). 1 indexed citations
3.
Zheng, Zhaofeng, Shangda Yang, Chao Tang, et al.. (2024). The ATF4-RPS19BP1 axis modulates ribosome biogenesis to promote erythropoiesis. Blood. 144(7). 742–756. 5 indexed citations
4.
Xu, Chang, Xue Lv, Yanling Lv, et al.. (2024). Procr+ Endothelial Progenitor Cells Modulate Adult Hematopoiesis and Microenvironment Homeostasis Via Notch Signaling. Blood. 144(Supplement 1). 562–562. 1 indexed citations
5.
Li, Mengyu, Guohuan Sun, Jinlian Zhao, et al.. (2024). Small extracellular vesicles derived from acute myeloid leukemia cells promote leukemogenesis by transferring miR-221-3p. Haematologica. 109(10). 3209–3221. 9 indexed citations
6.
Yang, Shangda, Yumin Li, Yanling Lv, et al.. (2024). p21/Zbtb18 repress the expression of cKit to regulate the self-renewal of hematopoietic stem cells. Protein & Cell. 15(11). 840–857. 1 indexed citations
7.
Yin, Jing, Na You, Shangda Yang, et al.. (2021). TWIST1 preserves hematopoietic stem cell function via the CACNA1B/Ca2+/mitochondria axis. Blood. 137(21). 2907–2919. 27 indexed citations
8.
Zhang, Chao, Zihan Xu, Shangda Yang, et al.. (2020). tagHi-C Reveals 3D Chromatin Architecture Dynamics during Mouse Hematopoiesis. Cell Reports. 32(13). 108206–108206. 36 indexed citations
9.
Wang, Yajie, Ting Lü, Guohuan Sun, et al.. (2019). Targeting of apoptosis gene loci by reprogramming factors leads to selective eradication of leukemia cells. Nature Communications. 10(1). 5594–5594. 14 indexed citations
10.
Zhao, Jiao, Qi Zhang, Cheng Cao, et al.. (2019). USP9X-mediated deubiquitination of B-cell CLL/lymphoma 9 potentiates Wnt signaling and promotes breast carcinogenesis. Journal of Biological Chemistry. 294(25). 9844–9857. 24 indexed citations
11.
Ma, Shihui, Guohuan Sun, Shangda Yang, et al.. (2019). Effects of telomere length on leukemogenesis. Science China Life Sciences. 63(2). 308–311. 1 indexed citations
12.
Yang, Shangda, Ling Liu, Cheng Cao, et al.. (2018). USP52 acts as a deubiquitinase and promotes histone chaperone ASF1A stabilization. Nature Communications. 9(1). 1285–1285. 34 indexed citations
13.
Su, Dongxue, Shuai Ma, Lin Shan, et al.. (2018). Ubiquitin-specific protease 7 sustains DNA damage response and promotes cervical carcinogenesis. Journal of Clinical Investigation. 128(10). 4280–4296. 89 indexed citations
14.
Li, Xin, Nan Song, Ling Liu, et al.. (2017). USP9X regulates centrosome duplication and promotes breast carcinogenesis. Nature Communications. 8(1). 14866–14866. 102 indexed citations
15.
Li, Lei, Shangda Yang, Ruorong Yan, et al.. (2016). SIRT7 is a histone desuccinylase that functionally links to chromatin compaction and genome stability. Nature Communications. 7(1). 12235–12235. 314 indexed citations
16.
Wang, Qian, Shuai Ma, Nan Song, et al.. (2016). Stabilization of histone demethylase PHF8 by USP7 promotes breast carcinogenesis. Journal of Clinical Investigation. 126(6). 2205–2220. 158 indexed citations
17.
Li, Xin, Ling Liu, Shangda Yang, et al.. (2014). Histone demethylase KDM5B is a key regulator of genome stability. Proceedings of the National Academy of Sciences. 111(19). 7096–7101. 116 indexed citations
18.
Wang, Y, Zihan Zhang, Qichun Zhang, et al.. (2013). Long-term cultured mesenchymal stem cells frequently develop genomic mutations but do not undergo malignant transformation. Cell Death and Disease. 4(12). e950–e950. 135 indexed citations
19.
Li, Jianping, Wen Xing, Shangda Yang, et al.. (2010). Interleukin‐27 as a Negative Regulator of Human Neutrophil Function. Scandinavian Journal of Immunology. 72(4). 284–292. 27 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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