Chunyan Gu

3.7k total citations · 2 hit papers
93 papers, 2.3k citations indexed

About

Chunyan Gu is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Chunyan Gu has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 25 papers in Hematology and 19 papers in Cancer Research. Recurrent topics in Chunyan Gu's work include Multiple Myeloma Research and Treatments (23 papers), Circular RNAs in diseases (10 papers) and Ubiquitin and proteasome pathways (8 papers). Chunyan Gu is often cited by papers focused on Multiple Myeloma Research and Treatments (23 papers), Circular RNAs in diseases (10 papers) and Ubiquitin and proteasome pathways (8 papers). Chunyan Gu collaborates with scholars based in China, United States and Poland. Chunyan Gu's co-authors include Ye Yang, Jinjun Qian, Mengjie Guo, Yuanjiao Zhang, Xiaozhu Tang, Hongyan Ren, Zhimin Fan, Ying Chen, Rongfang Wei and Hongbo Wang and has published in prestigious journals such as Blood, Cell Metabolism and Oncogene.

In The Last Decade

Chunyan Gu

92 papers receiving 2.3k citations

Hit Papers

Alternative splicing and cancer: a systematic review 2021 2026 2022 2024 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyan Gu China 24 1.5k 678 368 295 276 93 2.3k
Aijuan Qu China 32 1.3k 0.9× 596 0.9× 300 0.8× 252 0.9× 180 0.7× 66 2.9k
Marcus D. Goncalves United States 21 1.5k 1.0× 545 0.8× 192 0.5× 423 1.4× 265 1.0× 64 2.5k
Hans-Juergen Schulten Saudi Arabia 28 764 0.5× 337 0.5× 354 1.0× 354 1.2× 457 1.7× 91 1.9k
Beate K. Straub Germany 32 1.3k 0.9× 380 0.6× 427 1.2× 355 1.2× 233 0.8× 121 3.1k
Torben Ørntoft Denmark 25 1.6k 1.1× 748 1.1× 834 2.3× 405 1.4× 264 1.0× 49 2.9k
Yongde Luo United States 29 1.9k 1.3× 403 0.6× 208 0.6× 203 0.7× 197 0.7× 62 2.5k
Yan Xie China 25 1.3k 0.9× 556 0.8× 249 0.7× 301 1.0× 434 1.6× 93 2.5k
Sinéad Toomey Ireland 19 714 0.5× 243 0.4× 234 0.6× 494 1.7× 253 0.9× 66 2.0k
Amy Simon United States 19 1.5k 1.0× 466 0.7× 744 2.0× 483 1.6× 324 1.2× 42 3.1k

Countries citing papers authored by Chunyan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chunyan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Gu. A scholar is included among the top collaborators of Chunyan Gu 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 Chunyan Gu. Chunyan Gu 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.
Wang, Ling, Jie Min, Jinjun Qian, et al.. (2025). SAE1 promotes tumor cell malignancy via SUMOylation and liquid–liquid phase separation facilitated nuclear export of p27. Acta Pharmaceutica Sinica B. 15(4). 1991–2007. 1 indexed citations
4.
Tang, Xiaozhu, et al.. (2024). Examining the evidence for mutual modulation between m6A modification and circular RNAs: current knowledge and future prospects. Journal of Experimental & Clinical Cancer Research. 43(1). 216–216. 3 indexed citations
5.
Lü, Fan, Ying Zhang, Silu Chen, et al.. (2024). The Effect of Platelet Fibrin Plasma (PFP) on Postoperative Refractory Wounds: Physiologically Concentrated Platelet Plasma in Wound Repair. Tissue Engineering and Regenerative Medicine. 21(8). 1255–1267. 4 indexed citations
6.
Wang, Dan, Xinyi Liu, Kun Chen, et al.. (2024). Risks and protection: a qualitative study on the factors for internet addiction among elderly residents in Southwest China communities. BMC Public Health. 24(1). 531–531. 7 indexed citations
7.
Zhang, Yiwen, Lu Lu, Feifeng Song, et al.. (2023). Research progress on non-protein-targeted drugs for cancer therapy. Journal of Experimental & Clinical Cancer Research. 42(1). 62–62. 14 indexed citations
8.
Zhou, Jilin, et al.. (2023). Conbercept combined with laser photocoagulation in the treatment of diabetic macular edema and its influence on intraocular cytokines. World Journal of Diabetes. 14(8). 1271–1279. 2 indexed citations
9.
Wei, Rongfang, Yan Zhu, Yuanjiao Zhang, et al.. (2022). AIMP1 promotes multiple myeloma malignancy through interacting with ANP32A to mediate histone H3 acetylation. Cancer Communications. 42(11). 1185–1206. 12 indexed citations
10.
Wang, Juan, Yuan Zhou, Chunyan Gu, Ming Fang, & Ying Zhang. (2022). LncRNA SAMD12-AS1 Suppresses Proliferation and Migration of Hepatocellular Carcinoma via p53 Signaling Pathway. Journal of Oncology. 2022. 1–9. 3 indexed citations
11.
Gu, Chunyan, Lin Chen, Li Hu, et al.. (2022). The IFN-γ-related long non-coding RNA signature predicts prognosis and indicates immune microenvironment infiltration in uterine corpus endometrial carcinoma. Frontiers in Oncology. 12. 955979–955979. 11 indexed citations
12.
Yan, Lijun, Xi Chen, Zhaolian Bian, et al.. (2022). A ferroptosis associated gene signature for predicting prognosis and immune responses in patients with colorectal carcinoma. Frontiers in Genetics. 13. 971364–971364. 8 indexed citations
13.
Qian, Jinjun, Wei Wu, Yanxin Zhang, et al.. (2021). Suppression of steroid 5α-reductase type I promotes cellular apoptosis and autophagy via PI3K/Akt/mTOR pathway in multiple myeloma. Cell Death and Disease. 12(2). 206–206. 18 indexed citations
14.
Tang, Xiaozhu, Mengjie Guo, Zhendong Deng, et al.. (2021). BUB1B and circBUB1B_544aa aggravate multiple myeloma malignancy through evoking chromosomal instability. Signal Transduction and Targeted Therapy. 6(1). 361–361. 39 indexed citations
15.
Guo, Mengjie, Zhen Zhu, Yanyan Zhou, et al.. (2021). Targeting RFWD2 as an Effective Strategy to Inhibit Cellular Proliferation and Overcome Drug Resistance to Proteasome Inhibitor in Multiple Myeloma. Frontiers in Cell and Developmental Biology. 9. 675939–675939. 5 indexed citations
16.
Gu, Chunyan, et al.. (2020). Activation of BDNF-AS/ADAR/p53 Positive Feedback Loop Inhibits Glioblastoma Cell Proliferation. Neurochemical Research. 45(2). 508–518. 11 indexed citations
17.
Qian, Jinjun, Zhenlin Li, Qiao Li, et al.. (2020). <p>Bioactive Compounds from <em>Abelmoschus manihot L</em>. Alleviate the Progression of Multiple Myeloma in Mouse Model and Improve Bone Marrow Microenvironment</p>. OncoTargets and Therapy. Volume 13. 959–973. 18 indexed citations
18.
Chen, Ying, Rui Li, Yuqi Zhu, et al.. (2020). Dihydroartemisinin Induces Growth Arrest and Overcomes Dexamethasone Resistance in Multiple Myeloma. Frontiers in Oncology. 10. 767–767. 17 indexed citations
19.
Guo, Mengjie, Dongdong Sun, Zhimin Fan, et al.. (2019). Targeting MK2 Is a Novel Approach to Interfere in Multiple Myeloma. Frontiers in Oncology. 9. 722–722. 15 indexed citations
20.
Ghosal, Anima, Yuan Yuan, Wei Tong, et al.. (2010). Characterization of Human Liver Enzymes Involved in the Biotransformation of Boceprevir, a Hepatitis C Virus Protease Inhibitor. Drug Metabolism and Disposition. 39(3). 510–521. 53 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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