Guandi Wu

867 total citations
13 papers, 354 citations indexed

About

Guandi Wu is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Guandi Wu has authored 13 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Guandi Wu's work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related gene regulation (3 papers). Guandi Wu is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related gene regulation (3 papers). Guandi Wu collaborates with scholars based in China, United States and Germany. Guandi Wu's co-authors include Jian Zheng, Jiachun Su, Shaoping Zhang, Mei Li, Xudong Huang, Lisha Zhuang, Ruihong Bai, Dongxin Lin, Junge Deng and Yanfen Zheng and has published in prestigious journals such as Cancer Research, Oncogene and Cell Death and Differentiation.

In The Last Decade

Guandi Wu

13 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guandi Wu China 7 301 186 35 24 22 13 354
Honglei Jin China 9 235 0.8× 151 0.8× 47 1.3× 20 0.8× 19 0.9× 11 282
En‐Wei Tao China 7 266 0.9× 172 0.9× 31 0.9× 19 0.8× 14 0.6× 9 329
Yue Han China 8 355 1.2× 327 1.8× 50 1.4× 30 1.3× 11 0.5× 16 454
Xuetao Shi China 9 174 0.6× 147 0.8× 45 1.3× 32 1.3× 17 0.8× 13 292
Amr Mohamed Yehia Egypt 10 222 0.7× 225 1.2× 47 1.3× 20 0.8× 36 1.6× 11 338
Fumika Inazuka Japan 3 272 0.9× 266 1.4× 39 1.1× 30 1.3× 25 1.1× 5 363
Qingzhi Kong China 5 253 0.8× 202 1.1× 41 1.2× 39 1.6× 22 1.0× 9 306
Peter J. Mullen Canada 3 228 0.8× 88 0.5× 37 1.1× 20 0.8× 12 0.5× 4 290
Jianjun Xu China 13 284 0.9× 159 0.9× 55 1.6× 40 1.7× 17 0.8× 17 345

Countries citing papers authored by Guandi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guandi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guandi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guandi Wu. A scholar is included among the top collaborators of Guandi Wu 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 Guandi Wu. Guandi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Wu, Guandi, Jiachun Su, Lingxing Zeng, et al.. (2023). LncRNA BCAN-AS1 stabilizes c-Myc via N6-methyladenosine-mediated binding with SNIP1 to promote pancreatic cancer. Cell Death and Differentiation. 30(10). 2213–2230. 13 indexed citations
3.
Huang, Rong, et al.. (2023). Selection for Both Growth and Wood Properties in Chinese Fir Breeding Parents Based on a 6-Year Grafted Clone Test. Forests. 14(9). 1774–1774. 1 indexed citations
4.
5.
Huang, Rong, et al.. (2022). Further Mining and Characterization of miRNA Resource in Chinese Fir (Cunninghamia lanceolata). Genes. 13(11). 2137–2137. 4 indexed citations
6.
Li, Rui, Lingxing Zeng, Junge Deng, et al.. (2022). ATXN2-mediated translation of TNFR1 promotes esophageal squamous cell carcinoma via m6A-dependent manner. Molecular Therapy. 30(3). 1089–1103. 21 indexed citations
7.
Deng, Junge, Jialiang Zhang, Kaijing Liu, et al.. (2021). N6 -methyladenosine–Mediated Upregulation of WTAPP1 Promotes WTAP Translation and Wnt Signaling to Facilitate Pancreatic Cancer Progression. Cancer Research. 81(20). 5268–5283. 69 indexed citations
8.
Yu, Kai, Guandi Wu, Jian Zheng, et al.. (2021). pCysMod: Prediction of Multiple Cysteine Modifications Based on Deep Learning Framework. Frontiers in Cell and Developmental Biology. 9. 617366–617366. 38 indexed citations
9.
Su, Jiachun, Guandi Wu, Ying Ye, et al.. (2021). NSUN2-mediated RNA 5-methylcytosine promotes esophageal squamous cell carcinoma progression via LIN28B-dependent GRB2 mRNA stabilization. Oncogene. 40(39). 5814–5828. 124 indexed citations
10.
11.
Wu, Guandi, Xi Yang, Jiaying Li, et al.. (2018). Association between homocysteine levels and calcific aortic valve disease: a systematic review and meta-analysis. Oncotarget. 9(9). 8665–8674. 6 indexed citations
12.
Hu, Minmin, et al.. (2017). Long non-coding RNA MEG3 induces cell apoptosis in esophageal cancer through endoplasmic reticulum stress. Oncology Reports. 37(5). 3093–3099. 48 indexed citations
13.
Wang, Gongming, Wenjing Li, Junfei Qiao, & Guandi Wu. (2017). Nonlinear system identification using deep belief network based on PLSR. 313. 10807–10812. 4 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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