Ledong Wan

1.5k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Ledong Wan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ledong Wan has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ledong Wan's work include RNA modifications and cancer (9 papers), RNA Research and Splicing (6 papers) and Cancer-related molecular mechanisms research (4 papers). Ledong Wan is often cited by papers focused on RNA modifications and cancer (9 papers), RNA Research and Splicing (6 papers) and Cancer-related molecular mechanisms research (4 papers). Ledong Wan collaborates with scholars based in China, United States and France. Ledong Wan's co-authors include Maode Lai, Enping Xu, Hui Cao, Hong Liu, Honghe Zhang, Jianlu Kong, Yihua Wu, Wenjie Sun, Chen Li and Shuo Wang and has published in prestigious journals such as Nature Genetics, Cancer Cell and Cancer Research.

In The Last Decade

Ledong Wan

17 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chronic stress increases metastasis via neutrophil-mediated changes to the microenvironment

2024 121 citations Xue‐Yan He, David Ng et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ledong Wan China	13	680	438	263	147	119	17	1.1k
Jiaqiang Dong China	17	780 1.1×	427 1.0×	257 1.0×	97 0.7×	97 0.8×	30	1.2k
Joan Lewis-Wambi United States	20	631 0.9×	323 0.7×	424 1.6×	141 1.0×	129 1.1×	31	1.3k
Sanchita Rauth United States	18	558 0.8×	204 0.5×	378 1.4×	171 1.2×	118 1.0×	36	962
Katherine Drews‐Elger United States	13	514 0.8×	235 0.5×	359 1.4×	159 1.1×	71 0.6×	20	1.0k
Laurent Lessard Canada	17	811 1.2×	528 1.2×	359 1.4×	225 1.5×	259 2.2×	25	1.3k
Zhilin Zou China	10	560 0.8×	222 0.5×	227 0.9×	77 0.5×	133 1.1×	24	901
Qiao‐Li Lv China	21	767 1.1×	552 1.3×	124 0.5×	93 0.6×	95 0.8×	64	1.1k
Akira Morimiya United States	11	628 0.9×	343 0.8×	504 1.9×	97 0.7×	159 1.3×	16	1.1k
Xiaohui Pan China	16	517 0.8×	306 0.7×	217 0.8×	188 1.3×	109 0.9×	27	853
Junjie Piao China	20	676 1.0×	265 0.6×	208 0.8×	60 0.4×	153 1.3×	40	956

Countries citing papers authored by Ledong Wan

Since Specialization

Citations

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

Fields of papers citing papers by Ledong Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ledong Wan

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Maia-Silva, Diogo, Damianos Skopelitis, Yuan Gao, et al.. (2024). Interaction between MED12 and ΔNp63 activates basal identity in pancreatic ductal adenocarcinoma. Nature Genetics. 56(7). 1377–1385. 6 indexed citations

Wan, Ledong, et al.. (2024). Screening Splice-Switching Antisense Oligonucleotides in Pancreas-Cancer Organoids. Nucleic Acid Therapeutics. 34(4). 188–198. 7 indexed citations

He, Xue‐Yan, David Ng, Evdokia Michalopoulou, et al.. (2024). Chronic stress increases metastasis via neutrophil-mediated changes to the microenvironment. Cancer Cell. 42(3). 474–486.e12. 121 indexed citations breakdown →

Wan, Ledong, Kuan‐Ting Lin, Mohammad Alinoor Rahman, et al.. (2023). Splicing Factor SRSF1 Promotes Pancreatitis and KRASG12D-Mediated Pancreatic Cancer. Cancer Discovery. 13(7). 1678–1695. 37 indexed citations

He, Xue‐Yan, David Ng, Yuan Gao, et al.. (2023). Abstract 62: Untangling the connection between stress and metastatic breast cancer. Cancer Research. 83(7_Supplement). 62–62. 1 indexed citations

Wan, Ledong, et al.. (2022). SR Splicing Factors Promote Cancer via Multiple Regulatory Mechanisms. Genes. 13(9). 1659–1659. 7 indexed citations

Zhu, Yimin, Hanlin Lu, Dandan Zhang, et al.. (2018). Integrated analyses of multi-omics reveal global patterns of methylation and hydroxymethylation and screen the tumor suppressive roles of HADHB in colorectal cancer. Clinical Epigenetics. 10(1). 30–30. 33 indexed citations

Wan, Ledong, Wenying Yu, Enhui Shen, et al.. (2017). SRSF6-regulated alternative splicing that promotes tumour progression offers a therapy target for colorectal cancer. Gut. 68(1). 118–129. 134 indexed citations

Kong, Jianlu, Wenjie Sun, Chen Li, et al.. (2016). Long non-coding RNA LINC01133 inhibits epithelial–mesenchymal transition and metastasis in colorectal cancer by interacting with SRSF6. Cancer Letters. 380(2). 476–484. 155 indexed citations

10.

Wan, Ledong, Jianlu Kong, Jinlong Tang, et al.. (2016). HOTAIRM1 as a potential biomarker for diagnosis of colorectal cancer functions the role in the tumour suppressor. Journal of Cellular and Molecular Medicine. 20(11). 2036–2044. 69 indexed citations

11.

Cao, Hui, Jing Zhang, Hong Liu, et al.. (2016). IL-13/STAT6 signaling plays a critical role in the epithelial-mesenchymal transition of colorectal cancer cells. Oncotarget. 7(38). 61183–61198. 76 indexed citations

12.

Cao, Hui, Enping Xu, Hong Liu, Ledong Wan, & Maode Lai. (2015). Epithelial–mesenchymal transition in colorectal cancer metastasis: A system review. Pathology - Research and Practice. 211(8). 557–569. 295 indexed citations

13.

Yu, Dan, Zhenli Li, Meifu Gan, et al.. (2015). Decreased expression of dual specificity phosphatase 22 in colorectal cancer and its potential prognostic relevance for stage IV CRC patients. Tumor Biology. 36(11). 8531–8535. 18 indexed citations

14.

Zhou, Dan, Zhenli Li, Dan Yu, et al.. (2015). Polymorphisms involving gain or loss of CpG sites are significantly enriched in trait-associated SNPs. Oncotarget. 6(37). 39995–40004. 27 indexed citations

15.

Han, Chun, Ledong Wan, Hongbin Ji, et al.. (2014). Synthesis and evaluation of 2-anilinopyrimidines bearing 3-aminopropamides as potential epidermal growth factor receptor inhibitors. European Journal of Medicinal Chemistry. 77. 75–83. 16 indexed citations

16.

Han, Chun, Zhangjian Huang, Chao Zheng, et al.. (2013). Nitric oxide donating anilinopyrimidines: Synthesis and biological evaluation as EGFR inhibitors. European Journal of Medicinal Chemistry. 66. 82–90. 16 indexed citations

17.

Han, Chun, Zhangjian Huang, Chao Zheng, et al.. (2013). Novel Hybrids of (Phenylsulfonyl)furoxan and Anilinopyrimidine as Potent and Selective Epidermal Growth Factor Receptor Inhibitors for Intervention of Non-Small-Cell Lung Cancer. Journal of Medicinal Chemistry. 56(11). 4738–4748. 69 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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