Wanlu Song

1.7k total citations
20 papers, 1.1k citations indexed

About

Wanlu Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Wanlu Song has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Wanlu Song's work include Cancer Cells and Metastasis (7 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (4 papers). Wanlu Song is often cited by papers focused on Cancer Cells and Metastasis (7 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (4 papers). Wanlu Song collaborates with scholars based in China, United States and Germany. Wanlu Song's co-authors include Xuerui Yang, Yingkao Hu, Yan Zhu, Ningning Wu, Guangjun Yin, Ye‐Guang Chen, Yajuan Qin, Yueming Yan, Yalong Wang and Zhen Qi and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Cancer Research.

In The Last Decade

Wanlu Song

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanlu Song China 11 820 269 267 94 76 20 1.1k
Yuqin Zhang China 14 638 0.8× 281 1.0× 137 0.5× 51 0.5× 54 0.7× 35 810
Weipeng Wang China 19 648 0.8× 260 1.0× 150 0.6× 181 1.9× 116 1.5× 60 1.0k
Gavriel Mullokandov United States 5 619 0.8× 427 1.6× 78 0.3× 57 0.6× 27 0.4× 7 835
Rune Standal Norway 5 732 0.9× 156 0.6× 148 0.6× 84 0.9× 106 1.4× 8 1.0k
Thomas Brefort Germany 15 767 0.9× 268 1.0× 522 2.0× 45 0.5× 36 0.5× 16 1.2k
Jin‐Qiu Zhou China 23 1.7k 2.1× 91 0.3× 333 1.2× 110 1.2× 195 2.6× 54 1.9k
Hong Sun Kim South Korea 13 240 0.3× 79 0.3× 65 0.2× 142 1.5× 35 0.5× 26 563
Amy J. Malhowski United States 9 800 1.0× 112 0.4× 80 0.3× 216 2.3× 215 2.8× 9 1.1k
Abdullah Shah China 13 540 0.7× 383 1.4× 56 0.2× 34 0.4× 28 0.4× 26 784

Countries citing papers authored by Wanlu Song

Since Specialization
Citations

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

Fields of papers citing papers by Wanlu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanlu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wanlu Song. A scholar is included among the top collaborators of Wanlu Song 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 Wanlu Song. Wanlu Song 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.
Liu, Jixiang, et al.. (2025). Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies. Microbiological Research. 299. 128245–128245. 3 indexed citations
2.
Zhang, Haobing, Xiaohong Lu, Zhiyong Guo, et al.. (2025). Development of a clinically relevant rat model of chronic thromboembolic pulmonary hypertension by combining splenectomy with pulmonary thromboembolism. Thrombosis Research. 249. 109310–109310. 1 indexed citations
3.
Li, Yehua, Xu Wang, Chunlin Li, et al.. (2024). BMP suppresses Wnt signaling via the Bcl11b-regulated NuRD complex to maintain intestinal stem cells. The EMBO Journal. 43(23). 6032–6051. 4 indexed citations
4.
Song, Wanlu, et al.. (2024). Identification of feature genes in intestinal epithelial cell types. Cell Regeneration. 13(1). 24–24. 3 indexed citations
5.
Díaz-Carballo, David, Amin T. Turki, Wanlu Song, et al.. (2024). The neuroepithelial origin of ovarian carcinomas explained through an epithelial-mesenchymal-ectodermal transition enhanced by cisplatin. Scientific Reports. 14(1). 29286–29286. 1 indexed citations
6.
Song, Wanlu, Jiaye Liu, Shicheng Yu, et al.. (2023). The cyclooxygenase-expressing mesenchyme resists intestinal epithelial injury by paracrine signaling. Cell Regeneration. 12(1). 30–30. 2 indexed citations
7.
Song, Wanlu, et al.. (2022). Mesenchymal-epithelial interaction regulates gastrointestinal tract development in mouse embryos. Cell Reports. 40(2). 111053–111053. 22 indexed citations
8.
Wang, Yalong, Wanlu Song, Shicheng Yu, Yuan Liu, & Ye‐Guang Chen. (2022). Intestinal cellular heterogeneity and disease development revealed by single-cell technology. Cell Regeneration. 11(1). 26–26. 12 indexed citations
9.
Song, Wanlu, Hui Xu, Zhengtao Xiao, et al.. (2021). Mutual dependency between lncRNA LETN and protein NPM1 in controlling the nucleolar structure and functions sustaining cell proliferation. Cell Research. 31(6). 664–683. 30 indexed citations
10.
Liu, Yu, Yang Liu, Rongyao Huang, et al.. (2019). Dependency of the Cancer-Specific Transcriptional Regulation Circuitry on the Promoter DNA Methylome. Cell Reports. 26(12). 3461–3474.e5. 20 indexed citations
11.
Wang, Yalong, Wanlu Song, Jilian Wang, et al.. (2019). Single-cell transcriptome analysis reveals differential nutrient absorption functions in human intestine. The Journal of Experimental Medicine. 217(2). 233 indexed citations
12.
Li, Xin, Wanlu Song, Hui Xu, et al.. (2018). Oncogenic Properties of NEAT1 in Prostate Cancer Cells Depend on the CDC5L–AGRN Transcriptional Regulation Circuit. Cancer Research. 78(15). 4138–4149. 79 indexed citations
13.
Liu, Yang, Rongyao Huang, Yu Liu, et al.. (2018). Insights from multidimensional analyses of the pan‐cancer DNA methylome heterogeneity and the uncanonical CpG–gene associations. International Journal of Cancer. 143(11). 2814–2827. 10 indexed citations
14.
Lin, Zhen, Phillip J. Hsu, Xudong Xing, et al.. (2017). Mettl3-/Mettl14-mediated mRNA N6-methyladenosine modulates murine spermatogenesis. Cell Research. 27(10). 1216–1230. 349 indexed citations
15.
Wang, Lihui, Ningning Wu, Yan Zhu, et al.. (2015). The divergence and positive selection of the plant‐specific BURP‐containing protein family. Ecology and Evolution. 5(22). 5394–5412. 21 indexed citations
16.
Song, Wanlu, Yajuan Qin, Yan Zhu, et al.. (2014). Delineation of plant caleosin residues critical for functional divergence, positive selection and coevolution. BMC Evolutionary Biology. 14(1). 124–124. 36 indexed citations
17.
Zhu, Yan, Ningning Wu, Wanlu Song, et al.. (2014). Soybean (Glycine max) expansin gene superfamily origins: segmental and tandem duplication events followed by divergent selection among subfamilies. BMC Plant Biology. 14(1). 93–93. 220 indexed citations
18.
19.
Wu, Ningning, Yan Zhu, Wanlu Song, et al.. (2014). Unusual tandem expansion and positive selection in subgroups of the plant GRAS transcription factor superfamily. BMC Plant Biology. 14(1). 373–373. 21 indexed citations
20.
Song, Wanlu. (2011). Learning vocabulary without tears : a comparative study of the jigsaw and information gap tasks in vocabulary acquisition at school. Högskolan Kristianstad Publikationer.

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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