Qifa Liu

11.4k total citations · 2 hit papers
357 papers, 5.7k citations indexed

About

Qifa Liu is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Qifa Liu has authored 357 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Hematology, 79 papers in Genetics and 76 papers in Oncology. Recurrent topics in Qifa Liu's work include Hematopoietic Stem Cell Transplantation (147 papers), Acute Myeloid Leukemia Research (104 papers) and Acute Lymphoblastic Leukemia research (69 papers). Qifa Liu is often cited by papers focused on Hematopoietic Stem Cell Transplantation (147 papers), Acute Myeloid Leukemia Research (104 papers) and Acute Lymphoblastic Leukemia research (69 papers). Qifa Liu collaborates with scholars based in China, United States and United Kingdom. Qifa Liu's co-authors include Xiao‐Jun Huang, Zhiping Fan, Li Xuan, Lan‐Ping Xu, Fen Huang, Yu Wang, Ren Lin, Jing Sun, Depei Wu and Kai‐Yan Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Qifa Liu

313 papers receiving 5.6k citations

Hit Papers

Haploidentical vs identical-sibling transplant for AML in... 2015 2026 2018 2022 2015 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qifa Liu China 40 3.2k 1.3k 1.3k 1.3k 1.0k 357 5.7k
Jianxiang Wang China 42 2.8k 0.9× 2.1k 1.6× 3.8k 2.9× 1.1k 0.9× 1.1k 1.1× 415 7.7k
Gerard Lozanski United States 43 1.2k 0.4× 1.7k 1.3× 1.5k 1.1× 1.6k 1.3× 2.0k 1.9× 176 6.4k
Charles Craddock United Kingdom 53 6.3k 2.0× 2.4k 1.8× 2.2k 1.6× 2.9k 2.3× 1.6k 1.5× 271 10.7k
Jean Roy Canada 32 3.6k 1.1× 2.0k 1.5× 2.2k 1.6× 899 0.7× 488 0.5× 163 5.9k
Qing Cao United States 33 1.3k 0.4× 1.4k 1.0× 1.7k 1.3× 1.4k 1.1× 290 0.3× 161 4.6k
Pavan Reddy United States 54 6.1k 1.9× 1.6k 1.2× 2.3k 1.7× 5.8k 4.5× 909 0.9× 211 10.3k
Roland B. Walter United States 53 6.7k 2.1× 3.2k 2.4× 3.7k 2.8× 1.6k 1.2× 1.4k 1.4× 365 11.0k
Jayesh Mehta United States 46 4.9k 1.5× 2.8k 2.1× 2.7k 2.1× 1.1k 0.8× 1.0k 1.0× 226 8.3k
Yoichi Imai Japan 41 1.5k 0.5× 1.1k 0.8× 2.6k 2.0× 871 0.7× 421 0.4× 189 5.5k
Sacha Zeerleder Netherlands 36 1.6k 0.5× 315 0.2× 996 0.8× 1.8k 1.4× 936 0.9× 161 5.0k

Countries citing papers authored by Qifa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qifa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifa Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qifa Liu. A scholar is included among the top collaborators of Qifa 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 Qifa Liu. Qifa 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.
Yan, Fei, Qifa Liu, Q. Yue, et al.. (2025). From parents to offspring: a comprehensive review of antidepressant-linked reproductive risks. Biology of Reproduction. 113(3). 511–526.
2.
Chen, Jia, Jiali Gu, Jianxiang Wang, et al.. (2024). Hematologic health services and practical characteristics: report of a nationwide survey among Chinese hematologists. BMC Health Services Research. 24(1). 326–326.
3.
Chen, Junjie, Jia Li, Ting Zhang, et al.. (2024). Mutations of epigenetic modifier genes predict poor outcome in adult acute lymphoblastic leukemia. Annals of Hematology. 103(9). 3639–3648. 1 indexed citations
4.
Fan, Zhiping, Zhi Liu, Xu Ye, et al.. (2024). Vedolizumab plus basiliximab as second-line therapy for steroid-refractory lower gastrointestinal acute graft-versus-host disease. Frontiers in Immunology. 15. 1408211–1408211. 2 indexed citations
5.
Hu, Yingying, et al.. (2024). Demographic and Clinical Data in 118 Acquired Hemophilia a: Results from a Single Center Study. Blood. 144(Supplement 1). 3979–3979.
7.
Shi, Rongyi, Neng Zhou, Xuan Li, et al.. (2024). Trafficking circuit of CD8+ T cells between the intestine and bone marrow governs antitumour immunity. Nature Cell Biology. 26(8). 1346–1358. 4 indexed citations
8.
Chen, Fei, Zhida Chen, Zhengyi Wei, et al.. (2024). Mesenchymal Stem Cell-Derived Exosomes Attenuate Murine Cytomegalovirus-Infected Pneumonia via NF-κB/NLRP3 Signaling Pathway. Viruses. 16(4). 619–619. 10 indexed citations
10.
Zhang, Xin, Ke Zhao, Shiqi Liu, et al.. (2023). Mesenchymal stromal cells ameliorate chronic GVHD by boosting thymic regeneration in a CCR9-dependent manner in mice. Blood Advances. 7(18). 5359–5373. 11 indexed citations
11.
Yang, Dan, et al.. (2020). Pregnancy outcomes in women with congenitally corrected transposition of the great arteries. SHILAP Revista de lepidopterología. 47(2). 2 indexed citations
12.
Han, Lijie, Ke Zhao, Yuanyuan Li, et al.. (2019). A gut microbiota score predicting acute graft-versus-host disease following myeloablative allogeneic hematopoietic stem cell transplantation. American Journal of Transplantation. 20(4). 1014–1027. 32 indexed citations
13.
Jiang, Xuejie, Po Yee Mak, Hong Mu, et al.. (2018). Disruption of Wnt/β-Catenin Exerts Antileukemia Activity and Synergizes with FLT3 Inhibition in FLT3 -Mutant Acute Myeloid Leukemia. Clinical Cancer Research. 24(10). 2417–2429. 67 indexed citations
14.
Cao, Can, Menglei Wang, Jing Sun, et al.. (2017). Autologous peripheral blood haematopoietic stem cell transplantation for systemic lupus erythematosus: the observation of long-term outcomes in a Chinese centre.. PubMed. 35(3). 500–507. 17 indexed citations
16.
Jiang, Xuejie, Changxin Yin, Ling Jiang, et al.. (2017). Influence of FLT3-ITD Mutation and Length on the Prognosis in Acute Myeloid Leukemia. Blood. 130. 5089–5089. 1 indexed citations
17.
Marks, David I., Qifa Liu, & Monica A. Slavin. (2017). Voriconazole for prophylaxis of invasive fungal infections after allogeneic hematopoietic stem cell transplantation. Expert Review of Anti-infective Therapy. 15(5). 493–502. 13 indexed citations
18.
Wang, Yu, Qifa Liu, Lan‐Ping Xu, et al.. (2016). Haploidentical versus Matched-Sibling Transplant in Adults with Philadelphia-Negative High-Risk Acute Lymphoblastic Leukemia: A Biologically Phase III Randomized Study. Clinical Cancer Research. 22(14). 3467–3476. 115 indexed citations
19.
Liu, Kai‐Yan, Yu Wang, Mingzhe Han, et al.. (2010). Valganciclovir for pre-emptive therapy of cytomegalovirus viraemia after hematopoietic stem cell transplantation: a prospective multi-center trial.. PubMed. 123(16). 2199–205. 7 indexed citations
20.
Meng, Fan‐Yi, Bing Xu, Xiaoli Liu, et al.. (2003). [Modified FLAG regimen in the management of refractory acute myeloid leukemia].. PubMed. 23(10). 1054–5. 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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