Liling Wan

2.5k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Liling Wan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Liling Wan has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Liling Wan's work include Peptidase Inhibition and Analysis (8 papers), Cancer Mechanisms and Therapy (7 papers) and Protein Degradation and Inhibitors (5 papers). Liling Wan is often cited by papers focused on Peptidase Inhibition and Analysis (8 papers), Cancer Mechanisms and Therapy (7 papers) and Protein Degradation and Inhibitors (5 papers). Liling Wan collaborates with scholars based in United States, China and Hong Kong. Liling Wan's co-authors include Yibin Kang, Klaus Pantel, Haitao Li, Xiaobing Shi, C. David Allis, Hong Wen, Yuanyuan Li, Yong Wei, Robert G. Roeder and Haipeng Guan and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Liling Wan

19 papers receiving 1.6k citations

Hit Papers

Tumor metastasis: moving new biological insights into the... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liling Wan United States 13 1.1k 533 323 272 141 19 1.6k
Zhaoqing Tang China 18 1.1k 1.0× 396 0.7× 529 1.6× 122 0.4× 253 1.8× 45 1.5k
Stacey M. Bagby United States 21 568 0.5× 516 1.0× 242 0.7× 94 0.3× 194 1.4× 62 1.1k
Berkley E. Gryder United States 21 1.2k 1.1× 545 1.0× 253 0.8× 66 0.2× 132 0.9× 48 1.8k
Miriam Redrado Spain 20 544 0.5× 518 1.0× 270 0.8× 80 0.3× 233 1.7× 39 1.1k
Caroline B. Ho United States 10 1.6k 1.4× 405 0.8× 147 0.5× 114 0.4× 87 0.6× 15 1.9k
Nicolle Besselink Netherlands 17 672 0.6× 350 0.7× 440 1.4× 147 0.5× 59 0.4× 28 1.2k
Murugan Kalimutho Australia 23 1.2k 1.1× 727 1.4× 589 1.8× 185 0.7× 288 2.0× 39 2.0k
Rudi Bao United States 13 1.0k 0.9× 449 0.8× 139 0.4× 117 0.4× 122 0.9× 19 1.5k
Hirokazu Ohata Japan 19 893 0.8× 622 1.2× 393 1.2× 79 0.3× 125 0.9× 27 1.5k
Weili Ma Taiwan 16 1.3k 1.3× 986 1.8× 348 1.1× 125 0.5× 186 1.3× 59 2.0k

Countries citing papers authored by Liling Wan

Since Specialization
Citations

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

Fields of papers citing papers by Liling Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liling Wan

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

All Works

19 of 19 papers shown
1.
Michino, Mayako, Michael W. Miller, Yoshiyuki Fukase, et al.. (2024). Lead Optimization of Small Molecule ENL YEATS Inhibitors to Enable In Vivo Studies: Discovery of TDI-11055. ACS Medicinal Chemistry Letters. 15(4). 524–532. 2 indexed citations
2.
Li, Qinglan, Lingbo Xia, Qi Qiu, et al.. (2024). Single-cell multiomics reveals ENL mutation perturbs kidney developmental trajectory by rewiring gene regulatory landscape. Nature Communications. 15(1). 5937–5937. 3 indexed citations
3.
Liu, Yiman, Qinglan Li, Ashley Vanderbeck, et al.. (2024). Condensate-Promoting ENL Mutation Drives Tumorigenesis In Vivo Through Dynamic Regulation of Histone Modifications and Gene Expression. Cancer Discovery. 14(8). 1522–1546. 8 indexed citations
4.
Liu, Yiman, et al.. (2024). Dysregulation of transcriptional condensates in human disease: mechanisms, biological functions, and open questions. Current Opinion in Genetics & Development. 86. 102203–102203. 5 indexed citations
5.
Li, Qinglan, Michelle Cicchini, Katherine R. Doerig, et al.. (2023). p53 restoration in small cell lung cancer identifies a latent cyclophilin-dependent necrosis mechanism. Nature Communications. 14(1). 4403–4403. 8 indexed citations
6.
Kim, Bang‐Jin, Diqiu Ren, Zhendong Cao, et al.. (2023). DLBCL-associated NOTCH2 mutations escape ubiquitin-dependent degradation and promote chemoresistance. Blood. 142(11). 973–988. 14 indexed citations
7.
Peng, Bo, Yiman Liu, Guochao Chen, et al.. (2022). Hotspot mutations in the structured ENL YEATS domain link aberrant transcriptional condensates and cancer. Molecular Cell. 82(21). 4080–4098.e12. 46 indexed citations
8.
Shen, Minhong, Heath A. Smith, Yong Wei, et al.. (2021). Pharmacological disruption of the MTDH–SND1 complex enhances tumor antigen presentation and synergizes with anti-PD-1 therapy in metastatic breast cancer. Nature Cancer. 3(1). 60–74. 45 indexed citations
9.
Shen, Minhong, Shanshan Xie, Michelle Rowicki, et al.. (2020). Therapeutic Targeting of Metadherin Suppresses Colorectal and Lung Cancer Progression and Metastasis. Cancer Research. 81(4). 1014–1025. 37 indexed citations
10.
Li, Xin, Xiaomeng Li, Yixiang Jiang, et al.. (2018). Structure-guided development of YEATS domain inhibitors by targeting π-π-π stacking. Nature Chemical Biology. 14(12). 1140–1149. 83 indexed citations
11.
Wan, Liling, Hong Wen, Yuanyuan Li, et al.. (2017). ENL links histone acetylation to oncogenic gene expression in acute myeloid leukaemia. Nature. 543(7644). 265–269. 187 indexed citations
13.
Li, Yuanyuan, Benjamin R. Sabari, Tatyana Panchenko, et al.. (2016). Molecular Coupling of Histone Crotonylation and Active Transcription by AF9 YEATS Domain. Molecular Cell. 62(2). 181–193. 275 indexed citations
14.
Wan, Liling, Guohong Hu, Yong Wei, et al.. (2014). Genetic Ablation of Metadherin Inhibits Autochthonous Prostate Cancer Progression and Metastasis. Cancer Research. 74(18). 5336–5347. 35 indexed citations
15.
Wan, Liling, Xin Lü, Salina Yuan, et al.. (2014). MTDH-SND1 Interaction Is Crucial for Expansion and Activity of Tumor-Initiating Cells in Diverse Oncogene- and Carcinogen-Induced Mammary Tumors. Cancer Cell. 26(1). 92–105. 109 indexed citations
16.
Guo, Feng, Liling Wan, Aiping Zheng, et al.. (2014). Structural Insights into the Tumor-Promoting Function of the MTDH-SND1 Complex. Cell Reports. 8(6). 1704–1713. 41 indexed citations
17.
Wan, Liling & Yibin Kang. (2013). Pleiotropic Roles of AEG-1/MTDH/LYRIC in Breast Cancer. Advances in cancer research. 120. 113–134. 31 indexed citations
18.
Wan, Liling, Klaus Pantel, & Yibin Kang. (2013). Tumor metastasis: moving new biological insights into the clinic. Nature Medicine. 19(11). 1450–1464. 620 indexed citations breakdown →
19.
Alexia, Catherine, Gabrielle Carvalho, Naïma Zemirli, et al.. (2013). The Endoplasmic Reticulum Acts as a Platform for Ubiquitylated Components of Nuclear Factor κB Signaling. Science Signaling. 6(291). ra79–ra79. 34 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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