Guohui Wan

4.3k total citations · 2 hit papers
66 papers, 3.2k citations indexed

About

Guohui Wan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Guohui Wan has authored 66 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Guohui Wan's work include RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (13 papers) and MicroRNA in disease regulation (9 papers). Guohui Wan is often cited by papers focused on RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (13 papers) and MicroRNA in disease regulation (9 papers). Guohui Wan collaborates with scholars based in China, United States and Australia. Guohui Wan's co-authors include Xiongbin Lu, Xinna Zhang, Arabella Wan, Ziyou Lin, Yi Niu, Lei Sun, Heng Liang, Xiaoxiao Hu, Yunhua Liu and Rohit Mathur and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guohui Wan

63 papers receiving 3.2k citations

Hit Papers

RNA N6-methyladenosine demethylase FTO promotes breast tu... 2019 2026 2021 2023 2019 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Wan China 27 2.6k 1.6k 482 214 193 66 3.2k
Chunming Cheng United States 17 1.9k 0.8× 1.5k 1.0× 261 0.5× 235 1.1× 313 1.6× 35 2.8k
Xiangling Yang China 31 2.0k 0.8× 1.5k 0.9× 433 0.9× 201 0.9× 166 0.9× 71 2.9k
Zhi‐Qiang Ling China 30 1.6k 0.6× 894 0.6× 465 1.0× 180 0.8× 393 2.0× 117 2.6k
Minfeng Chen China 25 1.3k 0.5× 607 0.4× 465 1.0× 280 1.3× 439 2.3× 85 2.2k
Chunxiao Zhou United States 31 1.7k 0.6× 860 0.5× 625 1.3× 162 0.8× 224 1.2× 134 2.8k
Changliang Shan China 28 1.4k 0.5× 887 0.6× 262 0.5× 216 1.0× 130 0.7× 70 2.1k
Yuhan Yang China 23 1.3k 0.5× 562 0.4× 315 0.7× 295 1.4× 179 0.9× 77 2.1k
Dae‐Ghon Kim South Korea 28 1.3k 0.5× 577 0.4× 365 0.8× 156 0.7× 142 0.7× 49 2.1k
Hongjie Shen China 20 2.0k 0.8× 742 0.5× 217 0.5× 119 0.6× 93 0.5× 109 2.6k

Countries citing papers authored by Guohui Wan

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Wan. A scholar is included among the top collaborators of Guohui Wan 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 Guohui Wan. Guohui Wan 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.
Liang, Heng, Chuwei Liu, Arabella Wan, et al.. (2025). Machine learning-assisted tacrolimus dose optimization in childhood- onset systemic lupus erythematosus through population pharmacokinetic modeling. Computers in Biology and Medicine. 196(Pt B). 110782–110782. 1 indexed citations
2.
Liu, Chuwei, Peipei Wang, Yuyan Zheng, et al.. (2025). HNRNPA2B1 Orchestrates Immune Evasion in Colorectal Cancer by Rewiring Tumor–Immune Cell Interactions and Suppressing CD8+ T-cell Infiltration. Cancer Immunology Research. 14(1). 60–76.
3.
Zeng, Tao, Fei Xia, Dejun Jiang, et al.. (2025). TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery. Journal of Medicinal Chemistry. 68(2). 1793–1809.
4.
Liu, Chuwei, Heng Liang, Arabella Wan, et al.. (2025). Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach. Nature Communications. 16(1). 798–798. 9 indexed citations
5.
Zhao, Tingting, Guoping Zhong, Ying Wang, et al.. (2024). Pregnane X Receptor Activation in Liver Macrophages Protects against Endotoxin‐Induced Liver Injury. Advanced Science. 11(19). e2308771–e2308771. 17 indexed citations
6.
Li, Shuxin, Qiao-Li Wang, Guohui Wan, et al.. (2024). Formyl peptide enhances cancer immunotherapy by activating antitumoral neutrophils, and T cells. Biomedicine & Pharmacotherapy. 175. 116670–116670. 2 indexed citations
7.
Lin, Ziyou, Jian Zhang, Weineng Feng, et al.. (2023). Metabolic Reprogramming Driven by IGF2BP3 Promotes Acquired Resistance to EGFR Inhibitors in Non–Small Cell Lung Cancer. Cancer Research. 83(13). 2187–2207. 75 indexed citations
8.
Zhou, Zhuolong, Kevin Van der Jeught, Yujing Li, et al.. (2023). A T Cell‐Engaging Tumor Organoid Platform for Pancreatic Cancer Immunotherapy. Advanced Science. 10(23). e2300548–e2300548. 35 indexed citations
10.
Lin, Ziyou, Arabella Wan, Lei Sun, et al.. (2022). N6-methyladenosine demethylase FTO enhances chemo-resistance in colorectal cancer through SIVA1-mediated apoptosis. Molecular Therapy. 31(2). 517–534. 56 indexed citations
11.
Li, Qinghai, Weiling He, & Guohui Wan. (2021). Methyladenosine Modification in RNAs: Classification and Roles in Gastrointestinal Cancers. Frontiers in Oncology. 10. 586789–586789. 15 indexed citations
12.
Niu, Yi, Ziyou Lin, Arabella Wan, et al.. (2021). Loss‐of‐Function Genetic Screening Identifies Aldolase A as an Essential Driver for Liver Cancer Cell Growth Under Hypoxia. Hepatology. 74(3). 1461–1479. 91 indexed citations
13.
Yang, Xue, Jian‐You Guo, Meng-Meng Liu, et al.. (2021). Valeriana jatamansi Jones ex Roxb. Against Post-Traumatic Stress Disorder, Network Pharmacological Analysis, and In Vivo Evaluation. Frontiers in Pharmacology. 12. 764548–764548. 3 indexed citations
14.
Liu, Jian‐Guo, et al.. (2020). Long noncoding RNA ZFPM2-AS1 promotes the tumorigenesis of renal cell cancer via targeting miR-137. SHILAP Revista de lepidopterología. 9 indexed citations
15.
Niu, Yi, Arabella Wan, Ziyou Lin, Xiongbin Lu, & Guohui Wan. (2018). N6-Methyladenosine modification: a novel pharmacological target for anti-cancer drug development. Acta Pharmaceutica Sinica B. 8(6). 833–843. 68 indexed citations
16.
Han, Cecil, Yunhua Liu, Guohui Wan, et al.. (2014). The RNA-Binding Protein DDX1 Promotes Primary MicroRNA Maturation and Inhibits Ovarian Tumor Progression. Cell Reports. 8(5). 1447–1460. 84 indexed citations
17.
Wan, Guohui, Yunhua Liu, Cecil Han, Xinna Zhang, & Xiongbin Lu. (2013). Noncoding RNAs in DNA Repair and Genome Integrity. Antioxidants and Redox Signaling. 20(4). 655–677. 36 indexed citations
18.
Zhou, Yunfei, Guohui Wan, Riccardo Spizzo, et al.. (2013). miR‐203 induces oxaliplatin resistance in colorectal cancer cells by negatively regulating ATM kinase. Molecular Oncology. 8(1). 83–92. 151 indexed citations
19.
Wan, Guohui, Xinna Zhang, Robert R. Langley, et al.. (2013). DNA-Damage-Induced Nuclear Export of Precursor MicroRNAs Is Regulated by the ATM-AKT Pathway. Cell Reports. 3(6). 2100–2112. 52 indexed citations
20.
Zhang, Xinna, Guohui Wan, Sizolwenkosi Mlotshwa, et al.. (2010). Oncogenic Wip1 Phosphatase Is Inhibited by miR-16 in the DNA Damage Signaling Pathway. Cancer Research. 70(18). 7176–7186. 131 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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