Yihua Qiu

3.9k total citations
143 papers, 2.9k citations indexed

About

Yihua Qiu is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Yihua Qiu has authored 143 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 37 papers in Hematology and 37 papers in Immunology. Recurrent topics in Yihua Qiu's work include Acute Myeloid Leukemia Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (29 papers) and Immune Cell Function and Interaction (14 papers). Yihua Qiu is often cited by papers focused on Acute Myeloid Leukemia Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (29 papers) and Immune Cell Function and Interaction (14 papers). Yihua Qiu collaborates with scholars based in China, United States and Netherlands. Yihua Qiu's co-authors include Yu-Ping Peng, Yu-Ping Peng, Zhan Liu, Yan Huang, Beibei Cao, Jianhua Lu, Kaifu Ke, Steven M. Kornblau, Zhan Liu and Jun Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yihua Qiu

139 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yihua Qiu China 32 1.1k 848 565 453 367 143 2.9k
Fabián Docagne France 41 1.4k 1.3× 1.2k 1.4× 540 1.0× 1.2k 2.6× 564 1.5× 74 4.7k
Stefano Bartesaghi Sweden 19 1.4k 1.3× 775 0.9× 311 0.6× 796 1.8× 578 1.6× 33 3.1k
Eugene D. Ponomarev Hong Kong 31 1.6k 1.5× 1.4k 1.7× 1.6k 2.8× 636 1.4× 541 1.5× 53 4.8k
Javier Carrasco Spain 38 1.2k 1.1× 493 0.6× 884 1.6× 427 0.9× 525 1.4× 111 3.7k
Yoshifumi Sonobe Japan 30 1.1k 1.0× 1.3k 1.6× 1.1k 1.9× 520 1.1× 643 1.8× 44 3.4k
Mithilesh Kumar Jha South Korea 29 1.0k 1.0× 880 1.0× 554 1.0× 576 1.3× 616 1.7× 54 2.9k
Tim Magnus Germany 27 1.1k 1.0× 1.3k 1.5× 1.0k 1.8× 772 1.7× 623 1.7× 41 3.8k
Barry W. McColl United Kingdom 34 1.2k 1.1× 2.5k 2.9× 1.3k 2.3× 456 1.0× 494 1.3× 61 4.1k
Stella Elkabes United States 27 787 0.7× 834 1.0× 429 0.8× 882 1.9× 368 1.0× 61 2.5k
Shinya Dohgu Japan 31 1.0k 1.0× 1.9k 2.2× 310 0.5× 427 0.9× 755 2.1× 78 3.7k

Countries citing papers authored by Yihua Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Yihua Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihua Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Yihua Qiu. A scholar is included among the top collaborators of Yihua Qiu 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 Yihua Qiu. Yihua Qiu 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
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Mi, Yang, Yichen Wang, Philipp Mertins, et al.. (2024). Failure to Execute Caspase Activation Drives Therapy Resistance in TP53 Mutated AML. Blood. 144(Supplement 1). 53–53.
4.
Hoff, Fieke W., Yihua Qiu, David T. Teachey, et al.. (2024). The Proteomics of T-Cell and Early T-Cell Precursor (ETP) Acute Lymphocytic Leukemia: Prognostic Patterns in Adult and Pediatric-ETP ALL. Cancers. 16(24). 4241–4241.
5.
Hübner, Stefan, Fieke W. Hoff, Brandon D. Brown, et al.. (2023). DNA Damage Response−Related Proteins Are Prognostic for Outcome in Both Adult and Pediatric Acute Myelogenous Leukemia Patients: Samples from Adults and from Children Enrolled in a Children’s Oncology Group Study. International Journal of Molecular Sciences. 24(6). 5898–5898. 3 indexed citations
6.
Wei, Wei, Fu Chen, Yihua Qiu, et al.. (2023). Co-encapsulation of collagen peptide and astaxanthin in WG/OG/W double emulsions-filled alginate hydrogel beads: Fabrication, characterization and digestion behaviors. Journal of Colloid and Interface Science. 651. 159–171. 33 indexed citations
7.
Hoff, Fieke W., Yihua Qiu, James W. Lillard, et al.. (2022). Proteomic profiling based classification of CLL provides prognostication for modern therapy and identifies novel therapeutic targets. Blood Cancer Journal. 12(3). 43–43. 8 indexed citations
8.
Hoff, Fieke W., Yihua Qiu, Peter P. Ruvolo, et al.. (2020). Heat shock factor 1 (HSF1-pSer326) predicts response to bortezomib-containing chemotherapy in pediatric AML: a COG report. Blood. 137(8). 1050–1060. 12 indexed citations
9.
Hoff, Fieke W., Chenyue W. Hu, Yihua Qiu, et al.. (2018). Recurrent Patterns of Protein Expression Signatures in Pediatric Acute Lymphoblastic Leukemia: Recognition and Therapeutic Guidance. Molecular Cancer Research. 16(8). 1263–1274. 11 indexed citations
10.
Hoff, Fieke W., Chenyue W. Hu, Yihua Qiu, et al.. (2018). Recognition of Recurrent Protein Expression Patterns in Pediatric Acute Myeloid Leukemia Identified New Therapeutic Targets. Molecular Cancer Research. 16(8). 1275–1286. 14 indexed citations
11.
Carter, Bing Z., Po Yee Mak, Xiangmeng Wang, et al.. (2017). Focal Adhesion Kinase as a Potential Target in AML and MDS. Molecular Cancer Therapeutics. 16(6). 1133–1144. 31 indexed citations
12.
Khan, Maliha, Pariya Sukhumalchandra, Yihua Qiu, et al.. (2017). Cathepsin G Is Expressed By B Cell Acute Lymphoblastic Leukemia and Is an Effective Immunotherapeutic Target. Blood. 130. 1438–1438. 1 indexed citations
13.
Huang, Yan, Zhan Liu, Beibei Cao, Yihua Qiu, & Yu-Ping Peng. (2017). Treg Cells Protect Dopaminergic Neurons against MPP+ Neurotoxicity via CD47-SIRPA Interaction. Cellular Physiology and Biochemistry. 41(3). 1240–1254. 40 indexed citations
14.
Xiao, Chen, Zhan Liu, Beibei Cao, Yihua Qiu, & Yu-Ping Peng. (2017). TGF-β1 Neuroprotection via Inhibition of Microglial Activation in a Rat Model of Parkinson’s Disease. Journal of Neuroimmune Pharmacology. 12(3). 433–446. 59 indexed citations
15.
Liu, Zhan, Xiao-Xia Fang, Yuping Chen, Yihua Qiu, & Yu-Ping Peng. (2013). Interleukin-6 prevents NMDA-induced neuronal Ca2+overload via suppression of IP3 receptors. Brain Injury. 27(9). 1047–1055. 8 indexed citations
16.
Qiu, Yihua, Dechun Chen, Xiang He, et al.. (2013). Association between osteoprotegerin genetic variants and bone mineral density in Chinese women. International Immunopharmacology. 16(2). 275–278. 4 indexed citations
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18.
Tsao, Twee, Steven M. Kornblau, Stephen Safe, et al.. (2010). Role of Peroxisome Proliferator-Activated Receptor-γ and Its Coactivator DRIP205 in Cellular Responses to CDDO (RTA-401) in Acute Myelogenous Leukemia. Cancer Research. 70(12). 4949–4960. 39 indexed citations
19.
Qiu, Yihua, et al.. (2010). Effect of cerebellar fastigial nuclear lesions on differentiation and function of thymocytes. Journal of Neuroimmunology. 222(1-2). 40–47. 8 indexed citations
20.
Qiu, Yihua, et al.. (2006). Immunoregulatory role of endogenous catecholamines synthesized by immune cells.. PubMed. 58(4). 309–17. 21 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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