Guangying Cui

5.5k total citations · 2 hit papers
82 papers, 3.4k citations indexed

About

Guangying Cui is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Guangying Cui has authored 82 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 20 papers in Cancer Research and 17 papers in Epidemiology. Recurrent topics in Guangying Cui's work include RNA modifications and cancer (18 papers), Gut microbiota and health (16 papers) and Cancer-related gene regulation (10 papers). Guangying Cui is often cited by papers focused on RNA modifications and cancer (18 papers), Gut microbiota and health (16 papers) and Cancer-related gene regulation (10 papers). Guangying Cui collaborates with scholars based in China, United States and Japan. Guangying Cui's co-authors include Zhigang Ren, Ranran Sun, Zujiang Yu, Ang Li, Xiaolong Chen, Benchen Rao, Lanjuan Li, Hongyan Diao, Jianhao Li and Yan Yu and has published in prestigious journals such as Advanced Materials, PLoS ONE and Gut.

In The Last Decade

Guangying Cui

81 papers receiving 3.4k citations

Hit Papers

Gut microbiome analysis as a tool towards targeted non-in... 2018 2026 2020 2023 2018 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangying Cui China 33 2.1k 729 588 576 381 82 3.4k
Zujiang Yu China 26 1.7k 0.8× 628 0.9× 420 0.7× 573 1.0× 408 1.1× 101 3.0k
Suradej Hongeng Thailand 35 1.6k 0.8× 350 0.5× 810 1.4× 352 0.6× 224 0.6× 318 4.7k
Fangfang Guo China 25 1.6k 0.8× 373 0.5× 623 1.1× 386 0.7× 634 1.7× 58 3.2k
Yufeng Wang China 35 1.9k 0.9× 814 1.1× 889 1.5× 598 1.0× 157 0.4× 223 4.3k
Mengxia Li China 31 1.7k 0.8× 449 0.6× 516 0.9× 374 0.6× 198 0.5× 191 3.4k
Feng Xu China 30 1.1k 0.5× 401 0.6× 313 0.5× 464 0.8× 488 1.3× 130 3.6k
Han Zhang China 32 1.3k 0.6× 377 0.5× 1.2k 2.0× 485 0.8× 306 0.8× 235 3.7k
Yang Xia China 38 2.1k 1.0× 952 1.3× 841 1.4× 455 0.8× 270 0.7× 195 4.5k
Guanmin Jiang China 28 2.4k 1.2× 1.3k 1.7× 717 1.2× 693 1.2× 294 0.8× 54 4.7k
Roni Nowarski Israel 14 2.1k 1.0× 405 0.6× 899 1.5× 386 0.7× 383 1.0× 17 3.7k

Countries citing papers authored by Guangying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Guangying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangying Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Guangying Cui. A scholar is included among the top collaborators of Guangying 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 Guangying Cui. Guangying 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
2.
Dong, Zihui, et al.. (2023). Ubiquitin-proteasome system-based signature to predict the prognosis and drug sensitivity of hepatocellular carcinoma. Frontiers in Pharmacology. 14. 1172908–1172908. 7 indexed citations
3.
Zhang, Guizhen, Liwen Liu, Jianhao Li, et al.. (2023). NSUN2 stimulates tumor progression via enhancing TIAM2 mRNA stability in pancreatic cancer. Cell Death Discovery. 9(1). 219–219. 37 indexed citations
4.
Wang, Huifen, et al.. (2022). Metagenomic next-generation sequencing assists in the diagnosis of Cryptococcus pneumonia: Case series and literature review. Frontiers in Public Health. 10. 971511–971511. 4 indexed citations
5.
Yu, Bo, Benchen Rao, Ying Sun, et al.. (2022). The effect of the intratumoral microbiome on tumor occurrence, progression, prognosis and treatment. Frontiers in Immunology. 13. 1051987–1051987. 33 indexed citations
6.
Cui, Guangying, Benchen Rao, Zhaohai Zeng, et al.. (2022). Characterization of oral and gut microbiome and plasma metabolomics in COVID-19 patients after 1-year follow-up. Military Medical Research. 9(1). 32–32. 32 indexed citations
7.
Gao, Ming, Haiyu Wang, Hong Luo, et al.. (2021). Characterization of the Human Oropharyngeal Microbiomes in SARS‐CoV‐2 Infection and Recovery Patients. Advanced Science. 8(20). e2102785–e2102785. 36 indexed citations
8.
Rao, Benchen, Jiamin Lou, Weijie Wang, et al.. (2020). Human microbiome is a diagnostic biomarker in hepatocellular carcinoma. Hepatobiliary & pancreatic diseases international. 19(2). 109–115. 26 indexed citations
9.
Wang, Haiyu, Benchen Rao, Jiamin Lou, et al.. (2020). The Function of the HGF/c-Met Axis in Hepatocellular Carcinoma. Frontiers in Cell and Developmental Biology. 8. 55–55. 124 indexed citations
10.
Cui, Xichun, Zhifang Wang, Liwen Liu, et al.. (2019). The Long Non-coding RNA ZFAS1 Sponges miR-193a-3p to Modulate Hepatoblastoma Growth by Targeting RALY via HGF/c-Met Pathway. Frontiers in Cell and Developmental Biology. 7. 271–271. 24 indexed citations
11.
Ren, Zhigang, Xinmei Chen, Liangjie Hong, et al.. (2019). Nanoparticle Conjugation of Ginsenoside Rg3 Inhibits Hepatocellular Carcinoma Development and Metastasis. Small. 16(2). e1905233–e1905233. 100 indexed citations
12.
He, Yuting, Chen Xue, Yan Yu, et al.. (2018). CD44 is overexpressed and correlated with tumor progression in gallbladder cancer. Cancer Management and Research. Volume 10. 3857–3865. 45 indexed citations
13.
Ren, Zhigang, Ang Li, Jianwen Jiang, et al.. (2018). Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma. Gut. 68(6). 1014–1023. 543 indexed citations breakdown →
14.
Bao, Jie, Yan Yu, Jianan Chen, et al.. (2018). MiR-126 negatively regulates PLK-4 to impact the development of hepatocellular carcinoma via ATR/CHEK1 pathway. Cell Death and Disease. 9(10). 1045–1045. 72 indexed citations
15.
Zhu, Weiwei, Hongqiang Li, Yu Yan, et al.. (2018). Enolase-1 serves as a biomarker of diagnosis and prognosis in hepatocellular carcinoma patients. Cancer Management and Research. Volume 10. 5735–5745. 36 indexed citations
16.
Hou, Xianliang, Chong Lu, Sisi Chen, et al.. (2016). High Throughput Sequencing of T Cell Antigen Receptors Reveals a Conserved TCR Repertoire. Medicine. 95(10). e2839–e2839. 21 indexed citations
17.
Hou, Xianliang, Mingbang Wang, Chong Lu, et al.. (2016). Analysis of the Repertoire Features of TCR Beta Chain CDR3 in Human by High-Throughput Sequencing. Cellular Physiology and Biochemistry. 39(2). 651–667. 33 indexed citations
18.
Zhu, Yunan, Hongyu Jia, Jianing Chen, et al.. (2015). Decreased Osteopontin Expression as a Reliable Prognostic Indicator of Improvement in Pulmonary Tuberculosis: Impact of the Level of Interferon-γ-Inducible Protein 10. Cellular Physiology and Biochemistry. 37(5). 1983–1996. 13 indexed citations
19.
Diao, Hongyan, Guangying Cui, Jianing Chen, et al.. (2015). Osteopontin promotes dendritic cell maturation and function in response to HBV antigens. Drug Design Development and Therapy. 9. 3003–3003. 20 indexed citations
20.
Diao, Hongyan, Jianqin He, Jianing Chen, et al.. (2014). A possible role for NKT-like cells in patients with chronic hepatitis B during telbivudine treatment. Immunology Letters. 160(1). 65–71. 16 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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