Zi‐Jie Long

1.4k total citations · 1 hit paper
29 papers, 1000 citations indexed

About

Zi‐Jie Long is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Zi‐Jie Long has authored 29 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Immunology. Recurrent topics in Zi‐Jie Long's work include Microtubule and mitosis dynamics (8 papers), Acute Myeloid Leukemia Research (6 papers) and Cancer-related Molecular Pathways (5 papers). Zi‐Jie Long is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Acute Myeloid Leukemia Research (6 papers) and Cancer-related Molecular Pathways (5 papers). Zi‐Jie Long collaborates with scholars based in China, United States and United Kingdom. Zi‐Jie Long's co-authors include Quentin Liu, Min Yan, Jie Xu, Bin He, Zhongyu Yuan, Bing Liu, Eric W.‐F. Lam, Keith W. Kelley, Zhengzhi Zou and Lingzhi Xu and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Zi‐Jie Long

27 papers receiving 991 citations

Hit Papers

STAT5 promotes PD-L1 expr... 2023 2026 2024 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zi‐Jie Long China 13 586 300 278 197 149 29 1000
Wenwen Chien United States 20 822 1.4× 250 0.8× 161 0.6× 212 1.1× 104 0.7× 29 1.1k
Daniel Triner United States 11 593 1.0× 352 1.2× 161 0.6× 367 1.9× 212 1.4× 22 1.1k
Dianhua Qiao United States 16 697 1.2× 257 0.9× 312 1.1× 175 0.9× 90 0.6× 25 1.0k
Wei-Lei Yang United States 11 1.1k 1.9× 403 1.3× 143 0.5× 360 1.8× 185 1.2× 11 1.5k
Venturina Stagni Italy 16 687 1.2× 289 1.0× 140 0.5× 127 0.6× 116 0.8× 26 863
Sorin Armeanu–Ebinger Germany 16 467 0.8× 241 0.8× 164 0.6× 203 1.0× 131 0.9× 45 895
Catherine D. Moser United States 17 701 1.2× 182 0.6× 275 1.0× 188 1.0× 88 0.6× 36 1.2k
Kelly A. Avery‐Kiejda Australia 21 882 1.5× 494 1.6× 170 0.6× 410 2.1× 112 0.8× 50 1.3k
Motoyoshi Tanaka Japan 22 919 1.6× 361 1.2× 208 0.7× 258 1.3× 159 1.1× 49 1.5k
Debottam Sinha Australia 14 426 0.7× 296 1.0× 128 0.5× 120 0.6× 137 0.9× 28 783

Countries citing papers authored by Zi‐Jie Long

Since Specialization
Citations

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

Fields of papers citing papers by Zi‐Jie Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi‐Jie Long. 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 Zi‐Jie Long. The network helps show where Zi‐Jie Long may publish in the future.

Co-authorship network of co-authors of Zi‐Jie Long

This figure shows the co-authorship network connecting the top 25 collaborators of Zi‐Jie Long. A scholar is included among the top collaborators of Zi‐Jie Long 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 Zi‐Jie Long. Zi‐Jie Long 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.
Wang, Jundan, Jin‐Xing Wang, Zhen Lin, et al.. (2025). GPX1 confers resistance to metabolic stress in BCR/ABL-T315I mutant chronic myeloid leukemia cells. Cell Death Discovery. 11(1). 229–229.
2.
Xia, Ying, Min Yan, Bin He, et al.. (2023). SOX1 acts as a tumor hypnotist rendering nasopharyngeal carcinoma cells refractory to chemotherapy. Cell Death Discovery. 9(1). 194–194. 4 indexed citations
3.
Wang, Jundan, et al.. (2023). Disruption of mitochondrial oxidative phosphorylation by chidamide eradicates leukemic cells in AML. Clinical & Translational Oncology. 25(6). 1805–1820. 4 indexed citations
4.
Long, Zi‐Jie, Jundan Wang, Sheng‐Xiang Qiu, et al.. (2023). Dietary γ-mangostin triggers immunogenic cell death and activates cGAS signaling in acute myeloid leukemia. Pharmacological Research. 197. 106973–106973. 4 indexed citations
5.
Wang, Jundan, Xuening Zhang, Lingling Liu, et al.. (2022). Mutant C/EBPα p30 alleviates immunosuppression of CD8+ T cells by inhibiting autophagy‐associated secretion of IL‐1β in AML. Cell Proliferation. 55(12). e13331–e13331. 4 indexed citations
6.
Long, Zi‐Jie, et al.. (2022). cGAS/STING cross-talks with cell cycle and potentiates cancer immunotherapy. Molecular Therapy. 30(3). 1006–1017. 43 indexed citations
7.
Li, Meijiao, Rui Zheng, Huijun Qiu, et al.. (2021). YAP Promotes Cell Proliferation and Epithelium-Derived Cytokine Expression via NF-κB Pathway in Nasal Polyps. Journal of Asthma and Allergy. Volume 14. 839–850. 7 indexed citations
8.
Liu, Yun, Jin‐Xing Wang, Qian Cai, et al.. (2020). SOX1 promotes differentiation of nasopharyngeal carcinoma cells by activating retinoid metabolic pathway. Cell Death and Disease. 11(5). 331–331. 6 indexed citations
9.
Sun, Yueqi, Meijiao Li, Yuan Tian, et al.. (2018). The hippo pathway effector Yes‐associated protein promotes epithelial proliferation and remodeling in chronic rhinosinusitis with nasal polyps. Allergy. 74(4). 731–742. 22 indexed citations
10.
Lin, Suxia, Bin He, Sijin Wu, et al.. (2018). Recurrent ECSIT mutation encoding V140A triggers hyperinflammation and promotes hemophagocytic syndrome in extranodal NK/T cell lymphoma. Nature Medicine. 24(2). 154–164. 49 indexed citations
11.
Zhou, Hongsheng, et al.. (2018). Prediction of Competing Endogenous RNA Coexpression Network as Prognostic Markers in AML. SSRN Electronic Journal. 1 indexed citations
12.
Li, Yapeng, Bing Liu, Laura Harmacek, et al.. (2017). The transcription factors GATA2 and microphthalmia-associated transcription factor regulate Hdc gene expression in mast cells and are required for IgE/mast cell–mediated anaphylaxis. Journal of Allergy and Clinical Immunology. 142(4). 1173–1184. 33 indexed citations
13.
Zheng, Fei-Meng, Caifeng Yue, Guohui Li, et al.. (2016). Nuclear AURKA acquires kinase-independent transactivating function to enhance breast cancer stem cell phenotype. Nature Communications. 7(1). 10180–10180. 146 indexed citations
14.
Yan, Min, Chunli Wang, Bin He, et al.. (2016). Aurora‐A Kinase: A Potent Oncogene and Target for Cancer Therapy. Medicinal Research Reviews. 36(6). 1036–1079. 214 indexed citations
15.
Xiao, Ruozhi, et al.. (2013). Diagnosis of Felty’s syndrome, distinguished from hematological neoplasm: A case report. Oncology Letters. 7(3). 713–716. 7 indexed citations
16.
Xiao, Ruozhi, et al.. (2013). Diagnosis and treatment of a patient with isolated spinal granulocytic sarcoma: A case report. Oncology Letters. 5(4). 1229–1232. 9 indexed citations
17.
Zou, Zhengzhi, Zhongyu Yuan, Zi‐Jie Long, et al.. (2012). Aurora kinase A inhibition-induced autophagy triggers drug resistance in breast cancer cells. Autophagy. 8(12). 1798–1810. 161 indexed citations
18.
Liu, Xiangfu, Ruifang Fan, Zi‐Jie Long, et al.. (2011). RUNX3 is involved in caspase-3-dependent apoptosis induced by a combination of 5-aza-CdR and TSA in leukaemia cell lines. Journal of Cancer Research and Clinical Oncology. 138(3). 439–449. 7 indexed citations
19.
Zhang, Yong, Zi‐Jie Long, Yu Shi, et al.. (2009). The second prolactin receptor in Nile tilapia (Oreochromis niloticus): molecular characterization, tissue distribution and gene expression. Fish Physiology and Biochemistry. 36(2). 283–295. 7 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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