Yajing Chu

1.7k total citations
56 papers, 1.2k citations indexed

About

Yajing Chu is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Yajing Chu has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Hematology and 11 papers in Immunology. Recurrent topics in Yajing Chu's work include Acute Myeloid Leukemia Research (18 papers), Epigenetics and DNA Methylation (11 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Yajing Chu is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Epigenetics and DNA Methylation (11 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Yajing Chu collaborates with scholars based in China, United States and United Kingdom. Yajing Chu's co-authors include Xiaolu Yang, Gang Wang, Yanping Xu, Ying Liu, Zi Li, Di Zhao, Li Dong, Kun‐Liang Guan, Lei Lv and Yong Huang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yajing Chu

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajing Chu China 15 819 324 214 181 147 56 1.2k
Shuang Shang China 15 1.0k 1.3× 299 0.9× 194 0.9× 205 1.1× 48 0.3× 23 1.6k
Sharanya Sivanand United States 12 1.1k 1.4× 758 2.3× 111 0.5× 151 0.8× 39 0.3× 13 1.6k
Eva Dazert Switzerland 14 878 1.1× 355 1.1× 254 1.2× 267 1.5× 20 0.1× 19 1.5k
Wei Du United States 21 919 1.1× 199 0.6× 83 0.4× 238 1.3× 240 1.6× 78 1.3k
Meera Nanjundan United States 20 740 0.9× 213 0.7× 81 0.4× 252 1.4× 94 0.6× 35 1.2k
Stamatia Pouliliou Greece 17 470 0.6× 285 0.9× 205 1.0× 101 0.6× 25 0.2× 35 938
Vinay Bulusu United Kingdom 10 691 0.8× 434 1.3× 112 0.5× 207 1.1× 24 0.2× 14 1.1k
Thaddeus D. Allen China 20 978 1.2× 556 1.7× 133 0.6× 136 0.8× 84 0.6× 43 1.5k
Hong-Wu Chen United States 19 1.2k 1.5× 604 1.9× 135 0.6× 148 0.8× 48 0.3× 23 1.7k
Qinxi Li China 22 1.1k 1.3× 314 1.0× 289 1.4× 193 1.1× 30 0.2× 39 1.5k

Countries citing papers authored by Yajing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yajing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajing Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yajing Chu. A scholar is included among the top collaborators of Yajing Chu 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 Yajing Chu. Yajing Chu 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.
Qiu, Chen, Ruonan Li, Lin Tian, et al.. (2025). KLRG1 re-defines a leukemic clone of CD8 effector T cells sensitive to PI3K inhibitor in T cell large granular lymphocytic leukemia. Cell Reports Medicine. 6(4). 102036–102036.
2.
Liu, Yue, Yajing Chu, Wenting Liu, et al.. (2025). Gas Biopsy for Pan-Cancer Mice Early Screening by Untargeted Mass Spectrometry Analysis of Metabolic VOCs. Journal of Proteome Research. 24(8). 4215–4226.
3.
Chu, Yajing, et al.. (2024). Distinguish Esophageal Cancer Cells through VOCs Induced by Methionine Regulation. Journal of Proteome Research. 23(7). 2552–2560. 4 indexed citations
4.
Wang, Yuxia, Shuang Yang, Fei Zhao, et al.. (2024). Loss of RNA-binding protein CELF2 promotes acute leukemia development via FAT10-mTORC1. Oncogene. 43(19). 1476–1487. 4 indexed citations
5.
Liu, Yue, et al.. (2024). Developing Multiple Media Approach to Investigate Reproducible Characteristic VOCs of Lung Cancer Cells. Analytical Chemistry. 96(52). 20398–20405.
6.
Chu, Yajing, Yue Liu, Wenting Liu, et al.. (2024). Controlling glycolysis to generate characteristic volatile organic compounds of lung cancer cells. Scientific Reports. 14(1). 16561–16561. 1 indexed citations
7.
Pan, Hong, Zhen Gao, Lele Zhang, et al.. (2023). High-expression of the innate-immune related gene UNC93B1 predicts inferior outcomes in acute myeloid leukemia. Frontiers in Genetics. 14. 1063227–1063227. 3 indexed citations
8.
Wang, Wenjun, Qiaoli Li, Shuang Yang, et al.. (2023). High Expression of Microtubule-associated Protein TBCB Predicts Adverse Outcome and Immunosuppression in Acute Myeloid Leukemia. Journal of Cancer. 14(10). 1707–1724. 1 indexed citations
9.
Qiu, Chen, Xiaomin Wang, Jun Shi, et al.. (2021). SETD5 modulates homeostasis of hematopoietic stem cells by mediating RNA Polymerase II pausing in cooperation with HCF-1. Leukemia. 36(4). 1111–1122. 9 indexed citations
10.
Wang, Xiaomin, Shuang Yang, Fei Zhao, et al.. (2021). PHF6 and JAK3 mutations cooperate to drive T-cell acute lymphoblastic leukemia progression. Leukemia. 36(2). 370–382. 26 indexed citations
11.
Chen, Xin, Aiming Pang, Weiping Yuan, et al.. (2021). Colony-stimulating factor 3 receptor (CSF3R) M696T mutation does not impact on clinical outcomes of a Ph+ acute lymphoblastic leukemia patient. SHILAP Revista de lepidopterología. 3(3). 87–92. 1 indexed citations
12.
Liu, Kedi, Animesh Acharjee, Christine Hinz, et al.. (2020). Consequences of Lipid Remodeling of Adipocyte Membranes Being Functionally Distinct from Lipid Storage in Obesity. Journal of Proteome Research. 19(10). 3919–3935. 12 indexed citations
13.
Wang, Yuxia, Yajing Chu, Tianxiang Pang, et al.. (2020). Interleukin-1β inhibits normal hematopoietic expansion and promotes acute myeloid leukemia progression via the bone marrow niche. Cytotherapy. 22(3). 127–134. 11 indexed citations
14.
Chu, Yajing, Zhigang Zhao, David Sant, et al.. (2018). Tet2 Regulates Osteoclast Differentiation by Interacting with Runx1 and Maintaining Genomic 5-Hydroxymethylcytosine (5hmC). Genomics Proteomics & Bioinformatics. 16(3). 172–186. 18 indexed citations
15.
Wang, Xiaomin, Yanan Gao, Juan Gao, et al.. (2018). Rheb1 loss leads to increased hematopoietic stem cell proliferation and myeloid-biased differentiation in vivo. Haematologica. 104(2). 245–255. 15 indexed citations
16.
Gao, Yanan, Juan Gao, Minghao Li, et al.. (2016). Rheb1 promotes tumor progression through mTORC1 in MLL-AF9-initiated murine acute myeloid leukemia. Journal of Hematology & Oncology. 9(1). 36–36. 25 indexed citations
17.
Wang, Xiaomin, Yajing Chu, Weili Wang, & Weiping Yuan. (2016). mTORC signaling in hematopoiesis. International Journal of Hematology. 103(5). 510–518. 26 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.
Sun, Yang, Xiaoyan Zhu, Xufeng Chen, et al.. (2014). The mediator subunit Med23 contributes to controlling T-cell activation and prevents autoimmunity. Nature Communications. 5(1). 5225–5225. 16 indexed citations
20.
Lv, Lei, Li Dong, Di Zhao, et al.. (2011). Acetylation Targets the M2 Isoform of Pyruvate Kinase for Degradation through Chaperone-Mediated Autophagy and Promotes Tumor Growth. Molecular Cell. 42(6). 719–730. 483 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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