Min Ruan

523 total citations
66 papers, 303 citations indexed

About

Min Ruan is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Min Ruan has authored 66 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Hematology, 25 papers in Public Health, Environmental and Occupational Health and 23 papers in Molecular Biology. Recurrent topics in Min Ruan's work include Acute Myeloid Leukemia Research (36 papers), Acute Lymphoblastic Leukemia research (25 papers) and Hematopoietic Stem Cell Transplantation (10 papers). Min Ruan is often cited by papers focused on Acute Myeloid Leukemia Research (36 papers), Acute Lymphoblastic Leukemia research (25 papers) and Hematopoietic Stem Cell Transplantation (10 papers). Min Ruan collaborates with scholars based in China, United States and South Korea. Min Ruan's co-authors include Xiaofan Zhu, Yao Zou, Yumei Chen, Xiaojuan Chen, Ye Guo, Lixian Chang, Shuchun Wang, Li Zhang, Wenyu Yang and Xiaoming Liu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Min Ruan

57 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Ruan China 8 185 96 86 71 49 66 303
Shu‐Huey Chen Taiwan 11 219 1.2× 93 1.0× 113 1.3× 51 0.7× 49 1.0× 29 333
Elva Jiménez‐Hernández Mexico 10 79 0.4× 95 1.0× 105 1.2× 95 1.3× 68 1.4× 33 312
Ansu Abu Alex India 9 202 1.1× 150 1.6× 94 1.1× 68 1.0× 35 0.7× 22 334
Annalisa Paviglianiti Spain 10 155 0.8× 58 0.6× 36 0.4× 80 1.1× 22 0.4× 39 250
Dae-Chul Jeong South Korea 11 215 1.2× 87 0.9× 50 0.6× 50 0.7× 34 0.7× 35 352
Ching‐Hon Pui United States 7 80 0.4× 87 0.9× 131 1.5× 68 1.0× 68 1.4× 11 288
Nosha Farhadfar United States 11 188 1.0× 67 0.7× 93 1.1× 111 1.6× 44 0.9× 49 318
Rosane Bittencourt Brazil 10 163 0.9× 102 1.1× 63 0.7× 71 1.0× 24 0.5× 39 238
Francisco J. Márquez‐Malaver Spain 9 171 0.9× 47 0.5× 40 0.5× 68 1.0× 27 0.6× 21 266
Kensuke Kondoh Japan 10 68 0.4× 83 0.9× 200 2.3× 77 1.1× 144 2.9× 23 358

Countries citing papers authored by Min Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Min Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ruan. A scholar is included among the top collaborators of Min Ruan 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 Min Ruan. Min Ruan 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.
Hu, Chen, Yan Li, Fei Xu, et al.. (2025). Targeting METTL3 mitigates venetoclax resistance via proteasome-mediated modulation of MCL1 in acute myeloid leukemia. Cell Death and Disease. 16(1). 233–233. 3 indexed citations
2.
Wang, Yaqin, Lixian Chang, Beibei Zhao, et al.. (2025). Venetoclax plus Modified-Intensity Idarubicin and Cytarabine Treatment as First-Line Treatment for Newly Diagnosed Pediatric Acute Myeloid Leukemia. Clinical Cancer Research. 31(13). 2608–2616.
3.
4.
Jian, Hong, Min Ruan, Zhangbiao Long, et al.. (2025). Low-dose ATG/PTCy for graft-versus-host disease prevention in haploidentical transplantation: a single-center experience. Frontiers in Oncology. 15. 1569149–1569149.
5.
Qi, Ben-Quan, Lixian Chang, Wenyu Yang, et al.. (2024). Early Detection of Molecular Residual Disease and Risk Stratification for Children with Acute Myeloid Leukemia via Circulating Tumor DNA. Clinical Cancer Research. 30(6). 1143–1151. 5 indexed citations
6.
Wang, Na, Ben-Quan Qi, Min Ruan, et al.. (2024). [Clinical features and long-term prognostic analysis of relapsed pediatric acute lymphoblastic leukemia].. PubMed. 62(11). 1090–1096. 1 indexed citations
7.
8.
Liu, Lipeng, Lixian Chang, Xiaojuan Chen, et al.. (2023). Pediatric acute myeloid leukemia and hyperleukocytosis with WBC count greater than 50 × 109/L. International Journal of Hematology. 118(6). 737–744. 1 indexed citations
9.
Hong, Jian, Leiming Xia, Xiaodong Yuan, et al.. (2022). TIM-3 Expression Level on AML Blasts Correlates With Presence of Core Binding Factor Translocations Rather Than Clinical Outcomes. Frontiers in Oncology. 12. 879471–879471. 3 indexed citations
10.
Liu, Lipeng, Meihui Yi, Luyang Zhang, et al.. (2022). Droplet digital PCR for genetic mutations monitoring predicts relapse risk in pediatric acute myeloid leukemia. International Journal of Hematology. 116(5). 669–677. 4 indexed citations
11.
Liu, Xiaoming, Yao Zou, Li Zhang, et al.. (2022). A Novel Risk Defining System for Pediatric T-Cell Acute Lymphoblastic Leukemia From CCCG-ALL-2015 Group. Frontiers in Oncology. 12. 841179–841179. 6 indexed citations
12.
Liu, Lipeng, Lixian Chang, Xiaojuan Chen, et al.. (2022). Pediatric non–Down’s syndrome acute megakaryoblastic leukemia patients in China: A single center's real-world analysis. Frontiers in Oncology. 12. 940725–940725. 4 indexed citations
13.
Chang, Lixian, Li Zhang, Yang Wan, et al.. (2022). Phenotypic and genotypic correlation evaluation of 148 pediatric patients with Fanconi anemia in a Chinese rare disease cohort. Clinica Chimica Acta. 539. 41–49. 2 indexed citations
14.
Yi, Meihui, Chao Liu, Bingrui Wang, et al.. (2021). Minimal residual disease monitoring via AML1-ETO breakpoint tracing in childhood acute myeloid leukemia. Translational Oncology. 14(8). 101119–101119. 5 indexed citations
15.
Chen, Xiaohong, Wenqi Wu, Lipeng Liu, et al.. (2021). Low absolute neutrophil count during induction therapy is an adverse prognostic factor in childhood acute lymphoblastic leukaemia. Annals of Hematology. 100(9). 2269–2277. 3 indexed citations
16.
Chen, Xiaojuan, Ying Wang, Min Ruan, et al.. (2019). Treatment of Testicular Relapse of B-cell Acute Lymphoblastic Leukemia With CD19-specific Chimeric Antigen Receptor T Cells. Clinical Lymphoma Myeloma & Leukemia. 20(6). 366–370. 15 indexed citations
17.
18.
Wan, Yang, Xiaojuan Chen, Min Ruan, et al.. (2016). Clinical features, mutations and treatment of 104 patients of Diamond-Blackfan anemia in China: a single-center retrospective study. International Journal of Hematology. 104(4). 430–439. 7 indexed citations
19.
Liu, Tianfeng, Yang Wan, Yumei Chen, Min Ruan, & Xiaofan Zhu. (2014). Clinical Analysis of Diamond-Blackfan Anemia. 37(5). 406–411. 1 indexed citations
20.
Jeong, Dae Chul, Nack‐Gyun Chung, Byung‐Sik Cho, et al.. (2013). Long-term outcome after immunosuppressive therapy with horse or rabbit antithymocyte globulin and cyclosporine for severe aplastic anemia in children. Haematologica. 99(4). 664–671. 60 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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