Yu Hu

33.9k total citations · 3 hit papers
496 papers, 17.4k citations indexed

About

Yu Hu is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Yu Hu has authored 496 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Hematology, 160 papers in Molecular Biology and 119 papers in Oncology. Recurrent topics in Yu Hu's work include CAR-T cell therapy research (48 papers), Multiple Myeloma Research and Treatments (43 papers) and Blood Coagulation and Thrombosis Mechanisms (40 papers). Yu Hu is often cited by papers focused on CAR-T cell therapy research (48 papers), Multiple Myeloma Research and Treatments (43 papers) and Blood Coagulation and Thrombosis Mechanisms (40 papers). Yu Hu collaborates with scholars based in China, United States and Germany. Yu Hu's co-authors include Huijuan Jin, Ling Mao, Bo Hu, Quanwei He, Yanan Li, Xiaoping Miao, Yifan Zhou, Mengdie Wang, David Wang and Candong Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Yu Hu

463 papers receiving 17.0k citations

Hit Papers

Neurologic Manifestations... 2016 2026 2019 2022 2020 2020 2016 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu Hu 4.9k 4.6k 3.5k 3.0k 2.2k 496 17.4k
Xinghuan Wang 4.3k 0.9× 2.0k 0.4× 3.8k 1.1× 2.2k 0.7× 809 0.4× 568 15.9k
Xuan Zhang 7.9k 1.6× 1.2k 0.3× 1.5k 0.4× 3.1k 1.0× 5.1k 2.3× 868 22.7k
Xiaoping Miao 4.7k 0.9× 4.3k 0.9× 3.2k 0.9× 2.7k 0.9× 631 0.3× 313 15.3k
Min Zhu 7.9k 1.6× 846 0.2× 1.6k 0.5× 3.1k 1.0× 966 0.4× 288 25.9k
Steven B. Abramson 7.7k 1.6× 623 0.1× 1.2k 0.3× 2.4k 0.8× 4.6k 2.1× 309 29.9k
Masashi Narazaki 4.1k 0.8× 746 0.2× 1.4k 0.4× 4.9k 1.6× 5.0k 2.3× 92 14.2k
Naoki Ishiguro 3.2k 0.6× 1.1k 0.2× 416 0.1× 1.9k 0.6× 1.1k 0.5× 849 20.6k
Gou Young Koh 16.6k 3.4× 839 0.2× 757 0.2× 4.8k 1.6× 3.2k 1.4× 274 29.2k
Karlheinz Peter 4.8k 1.0× 614 0.1× 755 0.2× 1.0k 0.3× 2.8k 1.2× 537 19.6k
Hans‐Dieter Volk 9.8k 2.0× 1.5k 0.3× 2.2k 0.6× 4.9k 1.6× 16.8k 7.6× 808 42.5k

Countries citing papers authored by Yu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hu. A scholar is included among the top collaborators of Yu Hu 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 Yu Hu. Yu Hu 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.
Iyer, Prajish, Meiling Jin, Elisa ten Hacken, et al.. (2025). SF3B1 mutation accelerates the development of CLL via activation of the mTOR pathway. JCI Insight. 10(17).
2.
Li, Shuang, Guofu Zhang, Xiating Li, et al.. (2025). Risk of cardiovascular disease among cancer survivors: systematic review and meta-analysis. EClinicalMedicine. 84. 103274–103274. 1 indexed citations
3.
Deng, Jun, et al.. (2025). Innovative rapid screening for complex BCR-ABL1 kinase domain mutations in TKI-treated leukaemia patients. British Journal of Cancer. 133(5). 674–684.
4.
Ma, Chi, Aoshuang Xu, Liping Zuo, et al.. (2025). Methionine Dependency and Restriction in Cancer: Exploring the Pathogenic Function and Therapeutic Potential. Pharmaceuticals. 18(5). 640–640.
6.
Liu, Tingting, Zhipeng Cheng, Yu Hu, & Liang Tang. (2024). Tofacitinib for elderly onset hemophagocytic lymphohistiocytosis with gene mutations: a case report. SHILAP Revista de lepidopterología. 5(4). e538–e538. 1 indexed citations
7.
Li, Jiajia, Mingyue Wan, Wenhui Wang, et al.. (2024). Natural Variation in the Promoter of GmSPL9d Affects Branch Number in Soybean. International Journal of Molecular Sciences. 25(11). 5991–5991. 2 indexed citations
8.
He, Miao, Yajing Zhao, Yujia Liu, et al.. (2023). Elevated profiles of peripheral Th22, Th17, Th2 cells, and decreased percentage of Th1 cells in breast cancer patients. Thoracic Cancer. 14(33). 3282–3294. 4 indexed citations
9.
Li, Qian, Lijuan Xiong, Yanzhao Zhang, et al.. (2023). Age at SARS-CoV-2 infection and psychological and physical recovery among Chinese health care workers with severe COVID-19 at 28 months after discharge: A cohort study. Frontiers in Public Health. 11. 1086830–1086830. 2 indexed citations
10.
Dai, Bingling, Hanbing Cao, Yu Hu, et al.. (2023). Role of NLRP3 inflammasome activation in HCC cell progression. Heliyon. 9(9). e19542–e19542. 4 indexed citations
11.
Zhang, Jiasi, Yuxi Liu, Qun Li, et al.. (2023). ACSL4: a double-edged sword target in multiple myeloma, promotes cell proliferation and sensitizes cell to ferroptosis. Carcinogenesis. 44(3). 242–251. 22 indexed citations
12.
Zhang, Yinqiang, Chenggong Li, Mengyi Du, et al.. (2023). Allogenic and autologous anti-CD7 CAR-T cell therapies in relapsed or refractory T-cell malignancies. Blood Cancer Journal. 13(1). 61–61. 52 indexed citations
13.
Tang, Jian, et al.. (2022). Mechanism of Magnetic Flux Leakage Detection Method Based on the Slotted Ferromagnetic Lift-Off Layer. Sensors. 22(9). 3587–3587. 12 indexed citations
14.
Zhang, Wenchang, Ya Li, Bing Chen, et al.. (2022). Fully integrated point-of-care blood cell count using multi-frame morphology analysis. Biosensors and Bioelectronics. 223. 115012–115012. 6 indexed citations
15.
Tang, Liang, Wenyi Lin, Yuyang Zhang, et al.. (2022). Gene editing of human iPSCs rescues thrombophilia in hereditary antithrombin deficiency in mice. Science Translational Medicine. 14(673). eabq3202–eabq3202. 10 indexed citations
16.
Wang, Li, Jianda Hu, Wenbin Qian, et al.. (2021). Outcomes in refractory diffuse large B‐cell lymphoma: results from a multicenter real‐world study in China. Cancer Communications. 41(3). 229–239. 17 indexed citations
17.
Xiong, Lijuan, Bao‐Liang Zhong, Ming Huang, et al.. (2021). Possible posttraumatic stress disorder in Chinese frontline healthcare workers who survived COVID-19 6 months after the COVID-19 outbreak: prevalence, correlates, and symptoms. Translational Psychiatry. 11(1). 374–374. 22 indexed citations
18.
Meng, Jingshu, Yan Li, Chao Wan, et al.. (2021). Targeting senescence-like fibroblasts radiosensitizes non–small cell lung cancer and reduces radiation-induced pulmonary fibrosis. JCI Insight. 6(23). 81 indexed citations
19.
Tang, Lu, Jianghua Wu, Huiwen Jiang, et al.. (2020). Characterization of Immune Dysfunction and Identification of Prognostic Immune-Related Risk Factors in Acute Myeloid Leukemia. Clinical Cancer Research. 26(7). 1763–1772. 88 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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