Longzhen Cui

966 citations
30 papers · 631 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Sulfur Compounds in Biology

Papers in

    • Epigenetics and DNA Methylation 5
    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 2
    • Acute Myeloid Leukemia Research 15
    • Multiple Myeloma Research and Treatments 5

Longzhen Cui

30 papers receiving 628 citations

Peers

Longzhen Cui
Comparison fields: 5 of 71
  • Cancer Research 209
  • Biochemistry 81
  • Hematology 98
  • Molecular Biology 376
  • Immunology 81
Replace Hideyuki Abe with:
Hideyuki Abe Japan
Maria Quiles del Rey United States
Misty S. Martin-Sandoval United States
Eva Martínez-García United States
Gaurav Pathria United States
Heidelinde Jäkel Austria
Serena Lucotti United States
Elena G. Chiorean United States
Jingping Ge China
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Citations per field
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Hideyuki Abe · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Longzhen Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Longzhen Cui Line = papers co-authored together Longzhen Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 2017108
3 201841
4 201929
5 201929
6 201924
7 201821
8 201920
9 202119
10 201919
11 201819
12 202015
13 201914
14 201713
15 202212
16
Prognostic value of the PDLIM family in acute myeloid leukemia.
201912
17 202012
18 202010
19 20198
20 20208

About Longzhen Cui

Longzhen Cui is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Immunology, having authored 30 papers that have together received 631 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Epigenetics and DNA Methylation (5 papers), Multiple Myeloma Research and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer Genomics and Diagnostics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (209 citations), Biochemistry (81 citations), Hematology (98 citations), Molecular Biology (376 citations) and Immunology (81 citations). Longzhen Cui has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Lin Fu, Yan Liu, Zhiheng Cheng, Tingting Qian, Yifan Pang, Liang Quan, Jinlong Shi, Xiaoyan Ke, Yifeng Dai and Hongyou Zhao. Their work appears in journals such as Cancer Gene Therapy, The Pharmacogenomics Journal, Journal of Cancer, Frontiers in Oncology and Journal of Cellular and Molecular Medicine.

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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