Arabella Wan

1.6k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Arabella Wan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Arabella Wan has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Arabella Wan's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (5 papers) and HVDC Systems and Fault Protection (2 papers). Arabella Wan is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (5 papers) and HVDC Systems and Fault Protection (2 papers). Arabella Wan collaborates with scholars based in China, United States and Australia. Arabella Wan's co-authors include Guohui Wan, Yi Niu, Ziyou Lin, Lei Sun, Heng Liang, Xianzhang Bu, Weiling He, Dongshi Chen, Honglei Chen and Xiaobin Wu and has published in prestigious journals such as Nature Communications, The EMBO Journal and Gastroenterology.

In The Last Decade

Arabella Wan

17 papers receiving 1.2k 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
Arabella Wan China 10 1.1k 632 133 126 84 18 1.2k
Chuanhui Peng China 17 1.3k 1.2× 908 1.4× 166 1.2× 96 0.8× 139 1.7× 28 1.5k
Jianning Zhai Hong Kong 10 818 0.8× 435 0.7× 211 1.6× 87 0.7× 71 0.8× 15 1.0k
Haiyun Xie China 20 953 0.9× 575 0.9× 97 0.7× 96 0.8× 101 1.2× 31 1.1k
Longfei Dai China 10 611 0.6× 349 0.6× 109 0.8× 90 0.7× 95 1.1× 28 748
Ruiyan Wu China 10 817 0.8× 437 0.7× 210 1.6× 86 0.7× 121 1.4× 24 1.0k
Xing Feng China 13 823 0.8× 337 0.5× 129 1.0× 92 0.7× 69 0.8× 29 1.0k
Xiaoting Lin China 13 639 0.6× 335 0.5× 217 1.6× 35 0.3× 117 1.4× 39 886
Junhu Wan China 21 1.1k 1.0× 740 1.2× 167 1.3× 24 0.2× 159 1.9× 46 1.3k
Yuejie Lu China 9 545 0.5× 428 0.7× 71 0.5× 26 0.2× 104 1.2× 15 678

Countries citing papers authored by Arabella Wan

Since Specialization
Citations

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

Fields of papers citing papers by Arabella Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arabella Wan

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

All Works

18 of 18 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.
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
4.
Wan, Arabella & Dongshi Chen. (2024). The Multifaceted Roles of Neutrophil Death in COPD and Lung Cancer. PubMed. 1(4). 10022–10022. 2 indexed citations
5.
Wang, Bei, et al.. (2024). Integrating genome-wide CRISPR screens and in silico drug profiling for targeted antidote development. Nature Protocols. 19(9). 2739–2770. 4 indexed citations
6.
Liu, Chuwei, Arabella Wan, Lei Sun, et al.. (2023). Biological informed graph neural network for tumor mutation burden prediction and immunotherapy-related pathway analysis in gastric cancer. Computational and Structural Biotechnology Journal. 21. 4540–4551. 5 indexed citations
7.
Sun, Lei, Zhengyu Liu, Arabella Wan, et al.. (2023). Galectin-7 Induction by EHMT2 Inhibition Enhances Immunity in Microsatellite Stability Colorectal Cancer. Gastroenterology. 166(3). 466–482. 16 indexed citations
8.
Wang, Bei, Arabella Wan, Xinyuan Zhao, et al.. (2023). Identification of indocyanine green as a STT3B inhibitor against mushroom α-amanitin cytotoxicity. Nature Communications. 14(1). 2241–2241. 18 indexed citations
9.
Sun, Lei, Arabella Wan, Shijia Yan, et al.. (2023). A multidimensional platform of patient-derived tumors identifies drug susceptibilities for clinical lenvatinib resistance. Acta Pharmaceutica Sinica B. 14(1). 223–240. 15 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.
Deng, Yuan, Arabella Wan, Jiarui Li, et al.. (2022). RNA and RNA Derivatives: Light and Dark Sides in Cancer Immunotherapy. Antioxidants and Redox Signaling. 37(16-18). 1266–1290. 1 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.
Deng, Yuan, Lei Sun, Heng Liang, et al.. (2021). Measurement of Circulating Tumor Cells to Track Hepatocellular Carcinoma Progression After Liver Transplantation-Case Report. Frontiers in Oncology. 11. 760765–760765. 3 indexed citations
14.
Sun, Lei, Arabella Wan, Zhuolong Zhou, et al.. (2020). RNA-binding protein RALY reprogrammes mitochondrial metabolism via mediating miRNA processing in colorectal cancer. Gut. 70(9). 1698–1712. 86 indexed citations
15.
Lin, Ziyou, Yi Niu, Arabella Wan, et al.. (2020). RNA m 6 A methylation regulates sorafenib resistance in liver cancer through FOXO 3‐mediated autophagy. The EMBO Journal. 39(12). e103181–e103181. 359 indexed citations breakdown →
16.
Chen, Daoyuan, Weijian Wu, Huiying Xu, et al.. (2020). Design and Discovery of Natural Cyclopeptide Skeleton Based Programmed Death Ligand 1 Inhibitor as Immune Modulator for Cancer Therapy. Journal of Medicinal Chemistry. 63(19). 11286–11301. 13 indexed citations
17.
Niu, Yi, Ziyou Lin, Arabella Wan, et al.. (2019). RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3. Molecular Cancer. 18(1). 46–46. 455 indexed citations breakdown →
18.
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

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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