Yingchi Zhang

2.1k total citations
68 papers, 937 citations indexed

About

Yingchi Zhang is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yingchi Zhang has authored 68 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Hematology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yingchi Zhang's work include Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (16 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Yingchi Zhang is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (16 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Yingchi Zhang collaborates with scholars based in China, United States and United Kingdom. Yingchi Zhang's co-authors include Hua Wu, Yang Yong, Wenkai Li, Xiaofan Zhu, Hao Cheng, Wei Lu, Chaoxu Liu, Jia Liu, Tao Cheng and Junxian Liu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yingchi Zhang

66 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingchi Zhang China 16 417 184 174 124 121 68 937
Kara Scheibner United States 9 464 1.1× 286 1.6× 83 0.5× 125 1.0× 123 1.0× 11 934
Kirsten Canté-Barrett Netherlands 17 529 1.3× 346 1.9× 240 1.4× 92 0.7× 221 1.8× 33 1.1k
Jian Gu China 18 285 0.7× 503 2.7× 59 0.3× 139 1.1× 165 1.4× 45 1.0k
Sailaja Narravula United States 6 823 2.0× 215 1.2× 495 2.8× 363 2.9× 124 1.0× 8 1.4k
Christian W. Keller Switzerland 19 453 1.1× 515 2.8× 92 0.5× 36 0.3× 90 0.7× 42 1.2k
David A. Copland United Kingdom 21 451 1.1× 562 3.1× 58 0.3× 43 0.3× 81 0.7× 54 1.5k
Koji Shinozaki Japan 20 435 1.0× 490 2.7× 45 0.3× 66 0.5× 120 1.0× 54 1.4k
Xue Liu China 20 820 2.0× 331 1.8× 47 0.3× 268 2.2× 111 0.9× 38 1.2k
Shuhong Wang China 16 367 0.9× 171 0.9× 170 1.0× 167 1.3× 211 1.7× 66 899
Khoa Nguyen United States 17 399 1.0× 172 0.9× 25 0.1× 167 1.3× 216 1.8× 38 976

Countries citing papers authored by Yingchi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yingchi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchi Zhang. A scholar is included among the top collaborators of Yingchi Zhang 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 Yingchi Zhang. Yingchi Zhang 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.
Xiao, Jun, Zihan Meng, Yao Lu, et al.. (2025). Targeting microglia-Th17 feed-forward loop to suppress autoimmune neuroinflammation. Journal of Neuroinflammation. 22(1). 118–118. 2 indexed citations
2.
Zhang, Yingchi, Ting Wan, Xiaodan Shi, et al.. (2025). Abnormal glymphatic system in patients with autoimmune encephalitis: Relationship with cognitive performance. Brain Research Bulletin. 221. 111232–111232.
3.
4.
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
5.
Zhang, Jingliao, Tianfeng Liu, Lixian Chang, et al.. (2023). Single-cell analysis highlights a population of Th17-polarized CD4+ naïve T cells showing IL6/JAK3/STAT3 activation in pediatric severe aplastic anemia. Journal of Autoimmunity. 136. 103026–103026. 14 indexed citations
6.
7.
Wang, Xuan, Xueling Li, Lili Geng, et al.. (2023). CEA cell adhesion molecule 5 enriches functional human hematopoietic stem cells capable of long-term multi-lineage engraftment. iScience. 26(12). 108561–108561. 1 indexed citations
8.
Zhu, Haichuan, Yingchi Zhang, Mei Wang, et al.. (2022). Integrated genomic analyses identify high-risk factors and actionable targets in T-cell acute lymphoblastic leukemia. SHILAP Revista de lepidopterología. 4(1). 16–28. 7 indexed citations
9.
Yan, Weiqian, Zhiping Hu, Yingchi Zhang, Xiaomei Wu, & Hainan Zhang. (2022). Case Report: Metagenomic Next-Generation Sequencing for Diagnosis of Human Encephalitis and Endophthalmitis Caused by Pseudorabies Virus. Frontiers in Medicine. 8. 753988–753988. 20 indexed citations
10.
Feng, Jing, Wenyu Yang, Yao Zou, et al.. (2022). Childhood Acute B-Lineage Lymphoblastic Leukemia With CDKN2A/B Deletion Is a Distinct Entity With Adverse Genetic Features and Poor Clinical Outcomes. Frontiers in Oncology. 12. 878098–878098. 8 indexed citations
11.
Zhang, Jingliao, et al.. (2022). Developing PROteolysis TArgeting Chimeras (PROTACs) for hematologic malignancies. Cancer Letters. 544. 215808–215808. 3 indexed citations
12.
Zhang, Chen, Jie Yin, Jian Zheng, et al.. (2021). EZH2 identifies the precursors of human natural killer cells with trained immunity. Cancer Biology and Medicine. 18(4). 1021–1039. 7 indexed citations
13.
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
14.
Liu, Fang, Lixian Chang, Lipeng Liu, et al.. (2021). Combination of umbilical cord mesenchymal stem cells and standard immunosuppressive regimen for pediatric patients with severe aplastic anemia. BMC Pediatrics. 21(1). 102–102. 10 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.
Wang, Rong, Wenli Feng, Hao Wang, et al.. (2019). Blocking migration of regulatory T cells to leukemic hematopoietic microenvironment delays disease progression in mouse leukemia model. Cancer Letters. 469. 151–161. 62 indexed citations
17.
Zhou, Mi, Ling Cheng, Xing Chen, et al.. (2018). MBD2 Ablation Impairs Lymphopoiesis and Impedes Progression and Maintenance of T-ALL. Cancer Research. 78(7). 1632–1642. 15 indexed citations
18.
Hu, Tianyuan, Cong Li, Yingchi Zhang, et al.. (2015). Phosphoinositide-dependent kinase 1 regulates leukemia stem cell maintenance in MLL-AF9-induced murine acute myeloid leukemia. Biochemical and Biophysical Research Communications. 459(4). 692–698. 14 indexed citations
19.
Hua, Chunlan, Tianyuan Hu, Yingchi Zhang, Tao Cheng, & Weiping Yuan. (2014). Rictor is required for early B cell development in bone marrow. Experimental Hematology. 42(8). S39–S39. 2 indexed citations
20.
Zhang, Yingchi, Chunlan Hua, Hui Cheng, et al.. (2013). Distinct sensitivity of CD8+CD4− and CD8+CD4+ leukemic cell subpopulations to cyclophosphamide and rapamycin in Notch1-induced T-ALL mouse model. Leukemia Research. 37(11). 1592–1601. 8 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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