Longzhen Cui

953 total citations
29 papers, 614 citations indexed

About

Longzhen Cui is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Longzhen Cui has authored 29 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Hematology and 10 papers in Cancer Research. Recurrent topics in Longzhen Cui's work include Acute Myeloid Leukemia Research (16 papers), Multiple Myeloma Research and Treatments (6 papers) and Epigenetics and DNA Methylation (6 papers). Longzhen Cui is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Multiple Myeloma Research and Treatments (6 papers) and Epigenetics and DNA Methylation (6 papers). Longzhen Cui collaborates with scholars based in China, Netherlands and United States. Longzhen Cui's co-authors include Lin Fu, Yan Liu, Zhiheng Cheng, Tingting Qian, Yifan Pang, Liang Quan, Jinlong Shi, Xiaoyan Ke, Yifeng Dai and Hongyou Zhao and has published in prestigious journals such as Scientific Reports, Clinica Chimica Acta and BMC Medicine.

In The Last Decade

Longzhen Cui

29 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longzhen Cui China 13 430 260 114 87 82 29 614
Maria Quiles del Rey United States 7 373 0.9× 341 1.3× 70 0.6× 40 0.5× 39 0.5× 8 625
Su Yan China 11 290 0.7× 121 0.5× 38 0.3× 131 1.5× 135 1.6× 19 608
Jingping Ge China 10 368 0.9× 193 0.7× 128 1.1× 54 0.6× 12 0.1× 38 588
Eva Martínez-García United States 9 979 2.3× 240 0.9× 251 2.2× 36 0.4× 22 0.3× 13 1.1k
Florence Polet Belgium 5 466 1.1× 456 1.8× 18 0.2× 55 0.6× 65 0.8× 6 662
Yuanyuan Ban China 11 518 1.2× 426 1.6× 16 0.1× 62 0.7× 36 0.4× 11 690
Xuejing Shao China 17 536 1.2× 192 0.7× 91 0.8× 180 2.1× 13 0.2× 36 831
Marina Domingo‐Vidal United States 11 417 1.0× 390 1.5× 22 0.2× 89 1.0× 16 0.2× 16 653
Manpreet Kalkat Canada 12 634 1.5× 213 0.8× 32 0.3× 49 0.6× 13 0.2× 13 827
Misty S. Martin-Sandoval United States 7 579 1.3× 417 1.6× 53 0.5× 101 1.2× 23 0.3× 8 870

Countries citing papers authored by Longzhen Cui

Since Specialization
Citations

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

Fields of papers citing papers by Longzhen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longzhen Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Longzhen Cui. A scholar is included among the top collaborators of Longzhen Cui 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 Longzhen Cui. Longzhen Cui 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.
Zeng, Tiansheng, Wenhui Huang, Longzhen Cui, et al.. (2022). The landscape of extrachromosomal circular DNA (eccDNA) in the normal hematopoiesis and leukemia evolution. Cell Death Discovery. 8(1). 400–400. 12 indexed citations
2.
Feng, Yuhui, et al.. (2022). Heavy Metal Ions Trigger a Fluorescent Quenching in DNA–Organic Semiconductor Hybrid Assemblies. Polymers. 14(17). 3591–3591. 1 indexed citations
3.
Huang, Wenhui, Tingting Qian, Yan Liu, et al.. (2021). Increased expression of IFI16 predicts adverse prognosis in multiple myeloma. The Pharmacogenomics Journal. 21(4). 520–532. 4 indexed citations
4.
Cui, Longzhen, et al.. (2021). High expression of miR-195 is related to favorable prognosis in cytogenetically normal acute myeloid leukemia. International Journal of Clinical Oncology. 26(10). 1986–1993. 3 indexed citations
5.
6.
Zeng, Tiansheng, Longzhen Cui, Wenhui Huang, et al.. (2021). The establishment of a prognostic scoring model based on the new tumor immune microenvironment classification in acute myeloid leukemia. BMC Medicine. 19(1). 176–176. 18 indexed citations
7.
Cheng, Zhiheng, Yifeng Dai, Wenhui Huang, et al.. (2021). Prognostic Value of MicroRNA-20b in Acute Myeloid Leukemia. Frontiers in Oncology. 10. 553344–553344. 6 indexed citations
8.
Huang, Wenhui, Tingting Qian, Zhiheng Cheng, et al.. (2020). Prognostic significance of Spinster homolog gene family in acute myeloid leukemia. Journal of Cancer. 11(15). 4581–4588. 10 indexed citations
9.
Qian, Tingting, Longzhen Cui, Yan Liu, et al.. (2020). High expression of chaperonin-containing TCP1 subunit 3 may induce dismal prognosis in multiple myeloma. The Pharmacogenomics Journal. 20(4). 563–573. 14 indexed citations
10.
Quan, Liang, Tingting Qian, Longzhen Cui, et al.. (2020). Prognostic role of minichromosome maintenance family in multiple myeloma. Cancer Gene Therapy. 27(10-11). 819–829. 8 indexed citations
11.
Cheng, Zhiheng, Yifeng Dai, Tiansheng Zeng, et al.. (2020). Upregulation of Glutamic-Oxaloacetic Transaminase 1 Predicts Poor Prognosis in Acute Myeloid Leukemia. Frontiers in Oncology. 10. 379–379. 12 indexed citations
12.
Fu, Lin, Zhiheng Cheng, Fen Dong, et al.. (2019). Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma. Journal of Cancer. 11(5). 1182–1194. 27 indexed citations
13.
Liu, Yan, Rongjian Lu, Wei Cui, et al.. (2019). High IFITM3 expression predicts adverse prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 38–44. 27 indexed citations
14.
Dai, Yifeng, Zhiheng Cheng, Yifan Pang, et al.. (2019). Prognostic value of the FUT family in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 70–80. 19 indexed citations
15.
Liu, Yan, Zhiheng Cheng, Qihui Li, et al.. (2019). Prognostic significance of the PANK family expression in acute myeloid leukemia. Annals of Translational Medicine. 7(12). 261–261. 14 indexed citations
16.
Cui, Longzhen, Yan Liu, Yifan Pang, et al.. (2019). Emerging agents and regimens for treatment of relapsed and refractory acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 1–14. 20 indexed citations
17.
Liu, Yan, Zhiheng Cheng, Yifan Pang, et al.. (2019). Role of microRNAs, circRNAs and long noncoding RNAs in acute myeloid leukemia. Journal of Hematology & Oncology. 12(1). 51–51. 161 indexed citations
18.
Cui, Longzhen, Zhiheng Cheng, Yan Liu, et al.. (2018). Overexpression of PDK2 and PDK3 reflects poor prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 15–21. 41 indexed citations
19.
Li, Zhang, Ran Li, Kai Hu, et al.. (2018). Prognostic role of DOK family adapters in acute myeloid leukemia. Cancer Gene Therapy. 26(9-10). 305–312. 20 indexed citations
20.
Zhang, Hailong, Longzhen Cui, Wen Liu, et al.. (2018). 1H NMR metabolic profiling of gastric cancer patients with lymph node metastasis. Metabolomics. 14(4). 47–47. 19 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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