Shangqin Liu

868 total citations
32 papers, 711 citations indexed

About

Shangqin Liu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Shangqin Liu has authored 32 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Hematology and 15 papers in Oncology. Recurrent topics in Shangqin Liu's work include Multiple Myeloma Research and Treatments (14 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Flavonoids in Medical Research (4 papers). Shangqin Liu is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Flavonoids in Medical Research (4 papers). Shangqin Liu collaborates with scholars based in China, Japan and United States. Shangqin Liu's co-authors include Michio Kawano, Hideaki Ishikawa, Naohiro Tsuyama, Saeid Abroun, Fujun Li, Ken‐ichiro Otsuyama, Zi Ma, Masanori Obata, Xu Zheng and Zheng Xu and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Shangqin Liu

32 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
Shangqin Liu China 15 417 216 205 131 119 32 711
Arindam Dhar United States 12 595 1.4× 225 1.0× 123 0.6× 33 0.3× 117 1.0× 35 903
Yixiang Han China 17 371 0.9× 226 1.0× 250 1.2× 32 0.2× 350 2.9× 32 923
M. Seifert Germany 12 348 0.8× 318 1.5× 145 0.7× 28 0.2× 127 1.1× 24 753
Junichi Hisatake Japan 11 424 1.0× 119 0.6× 76 0.4× 86 0.7× 98 0.8× 21 784
Qi Feng China 13 169 0.4× 44 0.2× 133 0.6× 66 0.5× 112 0.9× 23 479
D Lauri Italy 14 298 0.7× 133 0.6× 101 0.5× 58 0.4× 101 0.8× 25 733
Lorena Ramírez Spain 12 167 0.4× 126 0.6× 76 0.4× 129 1.0× 31 0.3× 24 541
Deborah Alpert United States 8 193 0.5× 88 0.4× 48 0.2× 83 0.6× 141 1.2× 16 473
Weigan Shen China 14 299 0.7× 78 0.4× 43 0.2× 34 0.3× 142 1.2× 44 595

Countries citing papers authored by Shangqin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shangqin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangqin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shangqin Liu. A scholar is included among the top collaborators of Shangqin Liu 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 Shangqin Liu. Shangqin Liu 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.
Wang, Yong, et al.. (2023). A neural network model to predict spatiotemporal PM2.5 with FY-4A total precipitable water. Atmospheric Pollution Research. 14(4). 101735–101735. 3 indexed citations
2.
Chen, Song, Fuhao Zhang, Zhiran Zhang, et al.. (2023). Multi-Scale Massive Points Fast Clustering Based on Hierarchical Density Spanning Tree. ISPRS International Journal of Geo-Information. 12(1). 24–24. 2 indexed citations
3.
Liu, Shangqin, Xizhi Zhao, Fuhao Zhang, et al.. (2022). Spatial Downscaling of NPP-VIIRS Nighttime Light Data Using Multiscale Geographically Weighted Regression and Multi-Source Variables. Remote Sensing. 14(24). 6400–6400. 13 indexed citations
4.
Chen, Qiongrong, et al.. (2020). A rare face of follicular lymphoma: reverse variant of follicular lymphoma. Diagnostic Pathology. 15(1). 31–31. 1 indexed citations
5.
Yan, Hongzhu, Yanling Sun, Meichun Hu, et al.. (2020). PELP1 Suppression Inhibits Gastric Cancer Through Downregulation of c-Src-PI3K-ERK Pathway. Frontiers in Oncology. 9. 1423–1423. 14 indexed citations
6.
Thapa, Niresh, et al.. (2019). <p>Infiltrating CD4 and CD8 lymphocytes in HPV infected uterine cervical milieu</p>. Cancer Management and Research. Volume 11. 7647–7655. 31 indexed citations
7.
Jin, Yanxia, Shishang Guo, Qin Cui, et al.. (2018). A hospital based retrospective study of factors influencing therapeutic leukapheresis in patients presenting with hyperleukocytic leukaemia. Scientific Reports. 8(1). 294–294. 8 indexed citations
8.
9.
Chen, Fei, Shangqin Liu, Yi Zhou, Hui Shen, & Xuelan Zuo. (2016). Mad2 overexpression is associated with high cell proliferation and reduced disease-free survival in primary gastrointestinal diffuse large B-cell lymphoma. Hematology. 21(7). 399–403. 10 indexed citations
10.
Yu, Chunjie, Jiancheng Zeng, Zhenzhen Yan, et al.. (2016). Baicalein antagonizes acute megakaryoblastic leukemia in vitro and in vivo by inducing cell cycle arrest. Cell & Bioscience. 6(1). 20–20. 16 indexed citations
11.
Chang, Pei‐Ching, Tao-Yeuan Wang, Cheng-Ying Chu, et al.. (2014). Autophagy Pathway Is Required for IL-6 Induced Neuroendocrine Differentiation and Chemoresistance of Prostate Cancer LNCaP Cells. PLoS ONE. 9(2). e88556–e88556. 56 indexed citations
12.
Chen, Fei, Shangqin Liu, & Jiang Wu. (2013). Puerarin-induced immune hemolytic anemia. International Journal of Hematology. 98(1). 112–113. 6 indexed citations
13.
Liu, Shangqin, et al.. (2009). Inhibitory effect of baicalein on IL‐6‐mediated signaling cascades in human myeloma cells. European Journal Of Haematology. 84(2). 137–144. 42 indexed citations
14.
Liu, Shangqin, Ken‐ichiro Otsuyama, Zi Ma, et al.. (2007). Induction of Multilineage Markers in Human Myeloma Cells and Their Down-Regulation by Interleukin 6. International Journal of Hematology. 85(1). 49–58. 19 indexed citations
15.
Ishikawa, Hideaki, Naohiro Tsuyama, Shangqin Liu, et al.. (2005). Accelerated proliferation of myeloma cells by interleukin-6 cooperating with fibroblast growth factor receptor 3-mediated signals. Oncogene. 24(41). 6328–6332. 28 indexed citations
16.
Otsuyama, Ken‐ichiro, Zi Ma, Shangqin Liu, et al.. (2005). PPARβ-Mediated Suppression of the Growth and Survival in Human Myeloma Cells Conteracting NF-kB Activity.. Blood. 106(11). 5053–5053. 1 indexed citations
17.
Kawano, Michio, Shangqin Liu, Ken‐ichiro Otsuyama, & Hideki Asaoku. (2005). Transdifferentiation of Human Myeloma Cells and Their Dedifferentiation by IL-6.. Blood. 106(11). 3408–3408. 1 indexed citations
18.
Ma, Zi, Ken‐ichiro Otsuyama, Shangqin Liu, et al.. (2004). Baicalein, a component of Scutellaria radix from Huang-Lian-Jie-Du-Tang (HLJDT), leads to suppression of proliferation and induction of apoptosis in human myeloma cells. Blood. 105(8). 3312–3318. 140 indexed citations
19.
Kawano, Michio, Hideaki Ishikawa, Naohiro Tsuyama, et al.. (2002). Growth mechanism of human myeloma cells by interleukin-6. International Journal of Hematology. 76(S1). 329–333. 25 indexed citations
20.
Ishikawa, Hideaki, Naohiro Tsuyama, Maged S. Mahmoud, et al.. (2002). CD19 Expression and Growth Inhibition of Tumours in Human Multiple Myeloma. Leukemia & lymphoma. 43(3). 613–616. 21 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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