Liangqiang He

1.1k total citations
20 papers, 704 citations indexed

About

Liangqiang He is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Liangqiang He has authored 20 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Liangqiang He's work include RNA Research and Splicing (7 papers), Cell death mechanisms and regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Liangqiang He is often cited by papers focused on RNA Research and Splicing (7 papers), Cell death mechanisms and regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Liangqiang He collaborates with scholars based in China, Hong Kong and United States. Liangqiang He's co-authors include Huating Wang, Hao Sun, Xiaona Chen, Zichun Hua, Bingya Yang, Jing Zhang, Yu Zhao, Yuying Li, Suyang Zhang and Yin Luo and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Liangqiang He

20 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangqiang He China 14 531 192 79 75 51 20 704
Ananya Gupta Ireland 12 367 0.7× 124 0.6× 24 0.3× 24 0.3× 42 0.8× 27 628
Mozhdeh Zamani Iran 17 407 0.8× 111 0.6× 16 0.2× 29 0.4× 60 1.2× 57 668
Kerstin Lindgren Sweden 10 281 0.5× 81 0.4× 35 0.4× 75 1.0× 51 1.0× 11 529
Guisheng Liu China 13 218 0.4× 114 0.6× 24 0.3× 20 0.3× 126 2.5× 48 524
Guy J. Leclerc United States 14 518 1.0× 114 0.6× 14 0.2× 38 0.5× 76 1.5× 28 800
Himanshi Narang India 10 320 0.6× 79 0.4× 21 0.3× 39 0.5× 22 0.4× 15 587
Dongxue Li China 15 381 0.7× 169 0.9× 40 0.5× 18 0.2× 12 0.2× 54 720
David Millrine United Kingdom 14 400 0.8× 107 0.6× 16 0.2× 34 0.5× 56 1.1× 18 696

Countries citing papers authored by Liangqiang He

Since Specialization
Citations

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

Fields of papers citing papers by Liangqiang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangqiang He

This figure shows the co-authorship network connecting the top 25 collaborators of Liangqiang He. A scholar is included among the top collaborators of Liangqiang He 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 Liangqiang He. Liangqiang He 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.
Zhao, Yu, Yingzhe Ding, Liangqiang He, et al.. (2023). Multiscale 3D genome reorganization during skeletal muscle stem cell lineage progression and aging. Science Advances. 9(7). eabo1360–eabo1360. 20 indexed citations
2.
Zhang, Suyang, Yile Huang, Liangqiang He, et al.. (2023). ATF3 induction prevents precocious activation of skeletal muscle stem cell by regulating H2B expression. Nature Communications. 14(1). 4978–4978. 18 indexed citations
3.
He, Liangqiang, Zhiming He, Yuying Li, Hao Sun, & Huating Wang. (2023). In Vivo Investigation of Gene Function in Muscle Stem Cells by CRISPR/Cas9-Mediated Genome Editing. Methods in molecular biology. 2640. 287–311. 2 indexed citations
4.
Sun, Qiang, Xiaona Chen, Liangqiang He, et al.. (2023). Nuclear m6A reader YTHDC1 promotes muscle stem cell activation/proliferation by regulating mRNA splicing and nuclear export. eLife. 12. 47 indexed citations
5.
Chen, Xiaona, Guang Xue, Jieyu Zhao, et al.. (2022). Lockd promotes myoblast proliferation and muscle regeneration via binding with DHX36 to facilitate 5′ UTR rG4 unwinding and Anp32e translation. Cell Reports. 39(10). 110927–110927. 16 indexed citations
6.
So, Karl Kam Hei, Yile Huang, Suyang Zhang, et al.. (2022). seRNA PAM controls skeletal muscle satellite cell proliferation and aging through trans regulation of Timp2 expression synergistically with Ddx5. Aging Cell. 21(8). 15 indexed citations
7.
He, Liangqiang, Yingzhe Ding, Yu Zhao, et al.. (2021). CRISPR/Cas9/AAV9-mediated in vivo editing identifies MYC regulation of 3D genome in skeletal muscle stem cell. Stem Cell Reports. 16(10). 2442–2458. 25 indexed citations
8.
Zhao, Yu, Jiajian Zhou, Liangqiang He, et al.. (2019). MyoD induced enhancer RNA interacts with hnRNPL to activate target gene transcription during myogenic differentiation. Nature Communications. 10(1). 5787–5787. 67 indexed citations
9.
Zhang, Rong, Yingting Liu, Liangqiang He, et al.. (2017). The role of FADD in pancreatic cancer cell proliferation and drug resistance. Oncology Letters. 13(3). 1899–1904. 13 indexed citations
10.
Chen, Xiaona, Liangqiang He, Yu Zhao, et al.. (2017). Malat1 regulates myogenic differentiation and muscle regeneration through modulating MyoD transcriptional activity. Cell Discovery. 3(1). 17002–17002. 97 indexed citations
11.
Peng, Xianlu L., Karl Kam Hei So, Liangqiang He, et al.. (2017). MyoD- and FoxO3-mediated hotspot interaction orchestrates super-enhancer activity during myogenic differentiation. Nucleic Acids Research. 45(15). 8785–8805. 43 indexed citations
12.
13.
Yang, Bingya, et al.. (2015). Use of 16S rRNA Gene-Targeted Group-Specific Primers for Real-Time PCR Analysis of Predominant Bacteria in Mouse Feces. Applied and Environmental Microbiology. 81(19). 6749–6756. 156 indexed citations
14.
Wang, Jie, et al.. (2015). Quantitative analysis of annexin V–membrane interaction by flow cytometry. European Biophysics Journal. 44(5). 325–336. 9 indexed citations
15.
Zhang, Rong, Lu Wang, Liangqiang He, et al.. (2014). Fas-Associated Protein with Death Domain Regulates Notch Signaling during Muscle Regeneration. Cells Tissues Organs. 200(3-4). 253–264. 8 indexed citations
16.
Wang, Lu, Liangqiang He, Rong Zhang, et al.. (2014). Regulation of T lymphocyte activation by microRNA-21. Molecular Immunology. 59(2). 163–171. 45 indexed citations
17.
Cheng, Wei, Rong Zhang, Liangqiang He, et al.. (2013). A Critical Role of Fas-Associated Protein with Death Domain Phosphorylation in Intracellular Reactive Oxygen Species Homeostasis and Aging. Antioxidants and Redox Signaling. 21(1). 33–45. 9 indexed citations
18.
Cheng, Wei, Lu Wang, Bingya Yang, et al.. (2013). Self-renewal and Differentiation of Muscle Satellite Cells Are Regulated by the Fas-associated Death Domain. Journal of Biological Chemistry. 289(8). 5040–5050. 7 indexed citations
19.
Zhang, Shuai, Yin Luo, Liangqiang He, et al.. (2013). Synthesis, biological evaluation, and molecular docking studies of novel 1,3,4-oxadiazole derivatives possessing benzotriazole moiety as FAK inhibitors with anticancer activity. Bioorganic & Medicinal Chemistry. 21(13). 3723–3729. 87 indexed citations
20.
Wang, Lu, Pan Xiao, Liangqiang He, et al.. (2012). Vps41, a protein involved in lysosomal trafficking, interacts with caspase-8.. Acta Biochimica Polonica. 60(1). 37–42. 5 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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