Mu Hao

2.1k total citations
97 papers, 1.2k citations indexed

About

Mu Hao is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Mu Hao has authored 97 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Hematology, 45 papers in Molecular Biology and 31 papers in Oncology. Recurrent topics in Mu Hao's work include Multiple Myeloma Research and Treatments (55 papers), Protein Degradation and Inhibitors (18 papers) and Peptidase Inhibition and Analysis (12 papers). Mu Hao is often cited by papers focused on Multiple Myeloma Research and Treatments (55 papers), Protein Degradation and Inhibitors (18 papers) and Peptidase Inhibition and Analysis (12 papers). Mu Hao collaborates with scholars based in China, United States and Canada. Mu Hao's co-authors include Lugui Qiu, Gang An, Yan Xu, Shuhui Deng, Weiwei Sui, Dehui Zou, Fei Li, Fenghuang Zhan, Ye Yang and Xiaoqi Qin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Mu Hao

87 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu Hao China 20 759 607 407 289 191 97 1.2k
Isabelle Vande Broek Belgium 18 643 0.8× 580 1.0× 480 1.2× 223 0.8× 238 1.2× 41 1.2k
Ken Maes Belgium 23 1.0k 1.4× 643 1.1× 396 1.0× 345 1.2× 131 0.7× 50 1.5k
Jordan Blum United States 7 1.1k 1.5× 649 1.1× 481 1.2× 180 0.6× 312 1.6× 11 1.7k
Marina Bolzoni Italy 19 562 0.7× 635 1.0× 610 1.5× 137 0.5× 122 0.6× 51 1.2k
Fotis Asimakopoulos United States 20 538 0.7× 443 0.7× 557 1.4× 194 0.7× 105 0.5× 40 1.3k
Laura F. Newell United States 18 686 0.9× 785 1.3× 251 0.6× 147 0.5× 294 1.5× 70 1.5k
Denise Toscani Italy 18 571 0.8× 570 0.9× 557 1.4× 147 0.5× 108 0.6× 48 1.2k
Dengli Hong China 17 684 0.9× 516 0.9× 303 0.7× 217 0.8× 125 0.7× 30 1.5k
Ivana Zavrski Germany 23 938 1.2× 888 1.5× 899 2.2× 151 0.5× 159 0.8× 34 1.6k
Ya‐Wei Qiang United States 16 1.1k 1.4× 620 1.0× 685 1.7× 120 0.4× 109 0.6× 35 1.6k

Countries citing papers authored by Mu Hao

Since Specialization
Citations

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

Fields of papers citing papers by Mu Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Hao. A scholar is included among the top collaborators of Mu Hao 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 Mu Hao. Mu Hao 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, Jianfeng, et al.. (2025). Effect of heat treatment cooling way on the microstructure and mechanical property of Mg-Sc alloys. Materials & Design. 258. 114697–114697.
2.
Yu, Zhen, Hao Sun, Lanting Liu, et al.. (2024). CRIP1 involves the pathogenesis of multiple myeloma via dual-regulation of proteasome and autophagy. EBioMedicine. 100. 104961–104961. 7 indexed citations
3.
Wang, Yimei, S. Hou, Lei Zhang, et al.. (2024). A light-responsive multilayered 3D porous Ga2O3 hydrogel for photocatalytic antibacterial therapy promoting healing of MDR S. aureus-infected wounds. Journal of Material Science and Technology. 225. 188–202. 6 indexed citations
4.
Fang, Teng, Yan Song, Ting Du, et al.. (2024). 26S Proteasome Non-Atpase Subunit 3 (PSMD3/Rpn3) Is a Potential Therapeutic Target in Multiple Myeloma. Blood. 144(Supplement 1). 1905–1905.
5.
Qiu, Lugui, et al.. (2024). Novel Insights into the Initiation, Evolution, and Progression of Multiple Myeloma by Multi-Omics Investigation. Cancers. 16(3). 498–498. 2 indexed citations
6.
7.
8.
Yu, Zhen, Xiaojing Wei, Lanting Liu, et al.. (2022). Indirubin-3’-monoxime acts as proteasome inhibitor: Therapeutic application in multiple myeloma. EBioMedicine. 78. 103950–103950. 27 indexed citations
9.
Sun, Hao, Tingyu Wang, Zhen Yu, et al.. (2022). Single-cell profiles reveal tumor cell heterogeneity and immunosuppressive microenvironment in Waldenström macroglobulinemia. Journal of Translational Medicine. 20(1). 576–576. 10 indexed citations
10.
Kuang, Chunmei, Yinghong Zhu, Yongjun Guan, et al.. (2021). COX2 confers bone marrow stromal cells to promoting TNFα/TNFR1β-mediated myeloma cell growth and adhesion. Cellular Oncology. 44(3). 643–659. 3 indexed citations
11.
Yu, Tengteng, Xiaoke Ma, Weiwei Sui, et al.. (2020). Polycomb-like Protein 3 Induces Proliferation and Drug Resistance in Multiple Myeloma and Is Regulated by miRNA-15a. Molecular Cancer Research. 18(7). 1063–1073. 21 indexed citations
12.
Hao, Mu, Bart Barlogie, Guido Tricot, et al.. (2018). Gene Expression Profiling Reveals Aberrant T-cell Marker Expression on Tumor Cells of Waldenström's Macroglobulinemia. Clinical Cancer Research. 25(1). 201–209. 8 indexed citations
13.
Hao, Mu, Hua Bai, Zhimin Gu, et al.. (2017). The Interaction of NEK2 with USP7 Causes Resistance to Proteasome Inhibitor in Multiple Myeloma. Blood. 130. 593–593. 1 indexed citations
14.
Hao, Mu, Hao Xu, John D. Shaughnessy, et al.. (2017). NEK2 induces osteoclast differentiation and bone destruction via heparanase in multiple myeloma. PMC. 1 indexed citations
15.
Hao, Mu, Meirong Zang, Yan Xu, et al.. (2015). Serum High Expression of Micorna-214 Is a Novel Predictor for Myeloma Bone Disease and Poor Prognosis. Blood. 126(23). 4186–4186. 2 indexed citations
16.
Li, Pu, Ping Huang, Ye Yang, et al.. (2015). Updated Understanding of Autoimmune Lymphoproliferative Syndrome (ALPS). Clinical Reviews in Allergy & Immunology. 50(1). 55–63. 41 indexed citations
17.
Li, Fei, Mu Hao, Xiaoyan Feng, et al.. (2015). Downregulated miR-33b is a novel predictor associated with disease progression and poor prognosis in multiple myeloma. Leukemia Research. 39(7). 793–799. 22 indexed citations
18.
Zhang, Sai, et al.. (2011). Dynamic Changes of Vascular Endothelial Growth Factor and Angiopoietin-1 in Association With Circulating Endothelial Progenitor Cells After Severe Traumatic Brain Injury. The Journal of Trauma: Injury, Infection, and Critical Care. 70(6). 1480–1484. 18 indexed citations
19.
Xu, Yan, Hengxing Meng, Changhong Li, et al.. (2010). Umbilical Cord-Derived Mesenchymal Stem Cells Isolated by a Novel Explantation Technique Can Differentiate into Functional Endothelial Cells and Promote Revascularization. Stem Cells and Development. 19(10). 1511–1522. 35 indexed citations
20.
Zuo, Li, et al.. (2004). The sequence changes of envelope protein gene of Dengue 2 virus after transmitted from infected parent mosquito of Aedes albopictus to its first filial generation. 29(1). 1 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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