Hong‐Hu Zhu

3.9k total citations
117 papers, 1.8k citations indexed

About

Hong‐Hu Zhu is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hong‐Hu Zhu has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Hematology, 61 papers in Molecular Biology and 31 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hong‐Hu Zhu's work include Acute Myeloid Leukemia Research (71 papers), Retinoids in leukemia and cellular processes (41 papers) and Acute Lymphoblastic Leukemia research (30 papers). Hong‐Hu Zhu is often cited by papers focused on Acute Myeloid Leukemia Research (71 papers), Retinoids in leukemia and cellular processes (41 papers) and Acute Lymphoblastic Leukemia research (30 papers). Hong‐Hu Zhu collaborates with scholars based in China, United States and Lebanon. Hong‐Hu Zhu's co-authors include Xiao‐Jun Huang, Hao Jiang, Jie Jin, Ya‐Zhen Qin, Qian Jiang, Yanrong Liu, Lan‐Ping Xu, Bin Jiang, Jiong Hu and Depei Wu and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hong‐Hu Zhu

112 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Hu Zhu China 23 1.2k 936 447 245 228 117 1.8k
Jiong Hu China 21 661 0.5× 976 1.0× 217 0.5× 106 0.4× 412 1.8× 105 1.8k
Elizabeth Calleja United States 9 1.0k 0.8× 2.1k 2.2× 227 0.5× 153 0.6× 283 1.2× 21 2.5k
Gary Lu United States 19 379 0.3× 420 0.4× 143 0.3× 255 1.0× 263 1.2× 62 1.3k
Rona Singer Weinberg United States 20 669 0.5× 853 0.9× 62 0.1× 617 2.5× 95 0.4× 55 1.5k
Mamdooh Gari Saudi Arabia 20 701 0.6× 738 0.8× 159 0.4× 317 1.3× 232 1.0× 69 1.7k
Yue Wei United States 22 1.0k 0.8× 1.1k 1.2× 130 0.3× 304 1.2× 367 1.6× 83 2.2k
G. Robustelli della Cuna Italy 23 598 0.5× 351 0.4× 65 0.1× 182 0.7× 751 3.3× 90 1.9k
Andrija Bogdanović Serbia 17 466 0.4× 294 0.3× 60 0.1× 279 1.1× 141 0.6× 96 894
RG Smith United States 14 350 0.3× 415 0.4× 321 0.7× 231 0.9× 159 0.7× 22 1.2k
Sonia Carturan Italy 17 444 0.4× 628 0.7× 128 0.3× 295 1.2× 139 0.6× 44 1.2k

Countries citing papers authored by Hong‐Hu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Hu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong‐Hu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Hu Zhu. A scholar is included among the top collaborators of Hong‐Hu Zhu 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 Hong‐Hu Zhu. Hong‐Hu Zhu 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, Luyao, Yun Tan, Xufeng Cen, et al.. (2025). Oncogenic role of RARG rearrangements in acute myeloid leukemia resembling acute promyelocytic leukemia. Nature Communications. 16(1). 617–617.
2.
Zhang, Ya, Xudong He, Liping Wang, et al.. (2025). Integrated Computational and Functional Screening Identifies G9a Inhibitors for SETD2 -mutant Leukemia. Genomics Proteomics & Bioinformatics. 23(2).
3.
Jin, Wen, Yuting Dai, Li Chen, et al.. (2024). Cellular hierarchy insights reveal leukemic stem-like cells and early death risk in acute promyelocytic leukemia. Nature Communications. 15(1). 6 indexed citations
4.
Jian, Yuan, Yanru Zhang, Yin Wu, et al.. (2024). Paired comparisons of venetoclax concentration in cerebrospinal fluid, bone marrow, and plasma in acute leukemia patients. Clinical and Translational Science. 17(9). e70006–e70006. 1 indexed citations
5.
Zhang, Yi, Jie Chang, Huafeng Wang, et al.. (2023). CAG (cytarabine, aclarubicin and granulocyte colony-stimulating factor) regimen for core binding factor acute myeloid leukaemia with measurable residual disease. Annals of Hematology. 102(7). 1731–1738. 1 indexed citations
6.
Jian, Yuan, Nian Liu, Yanru Zhang, et al.. (2023). Mitoxantrone Hydrochloride Liposome, Bortezomib, and Dexamethasone- Based Regimen in Multiple Myeloma Patients with Extramedullary Plasmacytoma: A Pilot Study. Blood. 142(Supplement 1). 6650–6650. 1 indexed citations
7.
Gong, Sha, Guohui Li, Xiaohong Lü, et al.. (2022). An effective and chemotherapy-free strategy of all-trans retinoic acid and arsenic trioxide for acute promyelocytic leukemia in all risk groups (APL15 trial). Blood Cancer Journal. 12(11). 158–158. 21 indexed citations
8.
Yang, Min, Jinghan Wang, Yi Zhang, et al.. (2022). A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients. Frontiers in Oncology. 11. 783114–783114. 6 indexed citations
9.
Lou, Yinjun, et al.. (2021). Oral Realgar-Indigo Naturalis Formula Plus Retinoic Acid for Acute Promyelocytic Leukemia. Frontiers in Oncology. 10. 597601–597601. 21 indexed citations
10.
Lou, Yinjun, Jingjing Zhu, Huafei Shen, et al.. (2020). Hypertriglyceridemia in Newly Diagnosed Acute Promyelocytic Leukemia. Frontiers in Oncology. 10. 577796–577796. 12 indexed citations
11.
Huang, Xinping, Yimin Lao, Yonglu Tian, et al.. (2019). hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy. Nature Communications. 10(1). 3812–3812. 38 indexed citations
12.
Zhu, Hong‐Hu, Leping Zhang, & Xiao‐Jun Huang. (2017). Oral Arsenic and Retinoic Acid for Children with Non High-Risk Acute Promyelocytic Leukemia. Blood. 130. 1341–1341. 1 indexed citations
13.
Wang, Yazhe, Hong‐Hu Zhu, Yan Chang, et al.. (2017). PRAME Gene Copy Number Variation Is Related to Its Expression in Multiple Myeloma. DNA and Cell Biology. 36(12). 1099–1107. 19 indexed citations
14.
15.
Zhu, Hong‐Hu, Jinsong Jia, Qian Jiang, et al.. (2017). Determinants of Early Death and Outcomes for Acute Promyelocytic Leukemia in the Arsenic Era: A Real World Study. Blood. 130. 1340–1340. 1 indexed citations
16.
Zhu, Hong‐Hu, et al.. (2014). Ectopic Fat in Insulin Resistance, Dyslipidemia, and Cardiometabolic Disease. New England Journal of Medicine. 371(23). 2241–2241. 26 indexed citations
17.
Zhu, Hong‐Hu, Depei Wu, Jie Jin, et al.. (2013). Oral Tetra-Arsenic Tetra-Sulfide Formula Versus Intravenous Arsenic Trioxide As First-Line Treatment of Acute Promyelocytic Leukemia: A Multicenter Randomized Controlled Trial. Journal of Clinical Oncology. 31(33). 4215–4221. 129 indexed citations
18.
Zhu, Hong‐Hu, et al.. (2007). Detecting PML-RARalpha transcript in acute promyelocytic leukemia using real-time quantitative RT-PCR.. PubMed. 120(20). 1803–8. 5 indexed citations
19.
Qin, Ya‐Zhen, Jinlan Li, Hong‐Hu Zhu, et al.. (2007). [Detection of common fusion transcript levels in untreated leukemia patients by real-time quantitative RT-PCR technique].. PubMed. 28(7). 433–7. 7 indexed citations
20.
Zhang, Ping, Hong‐Hu Zhu, Hongying Hao, et al.. (2006). [Mechanism of tetra-arsenic tetra-sulfide in inducing apoptosis of acute promyelocytic leukemia cells].. PubMed. 38(3). 236–8. 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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