Wanling Song

2.3k total citations
57 papers, 1.4k citations indexed

About

Wanling Song is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Wanling Song has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Electronic, Optical and Magnetic Materials and 12 papers in Condensed Matter Physics. Recurrent topics in Wanling Song's work include Magnetic and transport properties of perovskites and related materials (11 papers), Advanced Condensed Matter Physics (10 papers) and Receptor Mechanisms and Signaling (8 papers). Wanling Song is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (11 papers), Advanced Condensed Matter Physics (10 papers) and Receptor Mechanisms and Signaling (8 papers). Wanling Song collaborates with scholars based in China, United Kingdom and Taiwan. Wanling Song's co-authors include Mark S.P. Sansom, Anna L. Duncan, Carol V. Robinson, Hsin‐Yung Yen, T. Bertie Ansell, Michael R. Horrell, Phillip J. Stansfeld, Robin A. Corey, Yechun Xu and Jie Yang and has published in prestigious journals such as Nature, Nature Communications and Applied Physics Letters.

In The Last Decade

Wanling Song

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanling Song China 21 878 274 226 194 157 57 1.4k
Jia Zhang China 20 355 0.4× 134 0.5× 217 1.0× 37 0.2× 63 0.4× 40 854
Takuji Oyama Japan 28 1.8k 2.1× 58 0.2× 445 2.0× 79 0.4× 34 0.2× 86 2.7k
Juyang Huang United States 27 2.2k 2.5× 49 0.2× 119 0.5× 194 1.0× 10 0.1× 62 2.9k
Armağan Koçer Netherlands 19 924 1.1× 22 0.1× 326 1.4× 269 1.4× 16 0.1× 32 1.5k
Masamune Morita Japan 19 573 0.7× 25 0.1× 74 0.3× 47 0.2× 25 0.2× 36 882
Marcus D. Tuttle United States 6 554 0.6× 35 0.1× 128 0.6× 102 0.5× 4 0.0× 9 1.3k
Ryszard Andruszkiewicz Poland 17 509 0.6× 26 0.1× 89 0.4× 123 0.6× 17 0.1× 112 1.1k
Shuai Gao China 28 1.8k 2.0× 28 0.1× 143 0.6× 240 1.2× 5 0.0× 94 2.4k
Mark R.H. Krebs United Kingdom 17 1.8k 2.0× 28 0.1× 469 2.1× 81 0.4× 3 0.0× 18 2.9k
I. V. Uporov Russia 18 469 0.5× 10 0.0× 132 0.6× 73 0.4× 12 0.1× 58 754

Countries citing papers authored by Wanling Song

Since Specialization
Citations

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

Fields of papers citing papers by Wanling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanling Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wanling Song. A scholar is included among the top collaborators of Wanling 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 Wanling Song. Wanling 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.
2.
Yang, Runjun, Xiu Zhao, Guisheng Xiang, et al.. (2025). Identification and catalytic mechanisms of key enzymes in the biosynthesis of asperosaponin VI from Dipsacus asperoides. Plant Physiology and Biochemistry. 227. 110166–110166.
3.
Peng, Yuqing, Guisheng Xiang, Wanling Song, et al.. (2024). Functional characterization of genes related to triterpene and flavonoid biosynthesis in Cyclocarya paliurus. Planta. 259(2). 50–50. 4 indexed citations
4.
Ansell, T. Bertie, Wanling Song, Loïc Carrique, et al.. (2023). LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins. Nature Communications. 14(1). 7774–7774. 16 indexed citations
5.
Yang, Zijiang, Ling Yang, Wanling Song, et al.. (2023). Comparative genomics reveals the diversification of triterpenoid biosynthesis and origin of ocotillol-type triterpenes in Panax. Plant Communications. 4(4). 100591–100591. 20 indexed citations
6.
Zhao, Yan, Guanghui Zhang, Qingyan Tang, et al.. (2022). EbMYBP1, a R2R3-MYB transcription factor, promotes flavonoid biosynthesis in Erigeron breviscapus. Frontiers in Plant Science. 13. 946827–946827. 29 indexed citations
7.
McGlone, Emma Rose, T. Bertie Ansell, Wanling Song, et al.. (2022). Hepatocyte cholesterol content modulates glucagon receptor signalling. Molecular Metabolism. 63. 101530–101530. 11 indexed citations
8.
Gao, Qingqing, Wanling Song, Xia Li, et al.. (2022). Genome-wide identification of bHLH transcription factors: Discovery of a candidate regulator related to flavonoid biosynthesis in Erigeron breviscapus. Frontiers in Plant Science. 13. 977649–977649. 21 indexed citations
9.
Corey, Robin A., Wanling Song, Anna L. Duncan, et al.. (2021). Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins. Science Advances. 7(34). 52 indexed citations
10.
Song, Wanling, Robin A. Corey, Anna L. Duncan, et al.. (2021). Pylipid: A Python Toolkit for Analysis of Lipid-Protein Interactions from MD Simulations. Biophysical Journal. 120(3). 48a–48a. 8 indexed citations
11.
Song, Wanling, Anna L. Duncan, & Mark S.P. Sansom. (2021). Modulation of adenosine A2a receptor oligomerization by receptor activation and PIP2 interactions. Structure. 29(11). 1312–1325.e3. 13 indexed citations
12.
Tang, Junrong, Geng Chen, Yingchun Lu, et al.. (2021). Identification of two UDP-glycosyltransferases involved in the main oleanane-type ginsenosides in Panax japonicus var. major. Planta. 253(5). 91–91. 18 indexed citations
13.
Ansell, T. Bertie, Wanling Song, & Mark S.P. Sansom. (2020). The Glycosphingolipid GM3 Modulates Conformational Dynamics of the Glucagon Receptor. Biophysical Journal. 119(2). 300–313. 27 indexed citations
14.
Yen, Hsin‐Yung, Kin Kuan Hoi, Idlir Liko, et al.. (2018). PtdIns(4,5)P2 stabilizes active states of GPCRs and enhances selectivity of G-protein coupling. Nature. 559(7714). 423–427. 214 indexed citations
15.
Song, Wanling, Hsin‐Yung Yen, Carol V. Robinson, & Mark S.P. Sansom. (2018). State-dependent Lipid Interactions with the A2a Receptor Revealed by MD Simulations Using In Vivo-Mimetic Membranes. Structure. 27(2). 392–403.e3. 85 indexed citations
16.
Song, Wanling, et al.. (2017). Gorge Motions of Acetylcholinesterase Revealed by Microsecond Molecular Dynamics Simulations. Scientific Reports. 7(1). 3219–3219. 33 indexed citations
17.
Song, Wanling, Yuanyuan Wang, Jacques‐Philippe Colletier, Huaiyu Yang, & Yechun Xu. (2015). Varied Probability of Staying Collapsed/Extended at the Conformational Equilibrium of Monomeric Aβ40 and Aβ42. Scientific Reports. 5(1). 11024–11024. 17 indexed citations
18.
Song, Wanling, Harsha Bajaj, Hualiang Jiang, et al.. (2015). Understanding Voltage Gating of Providencia stuartii Porins at Atomic Level. PLoS Computational Biology. 11(5). e1004255–e1004255. 8 indexed citations
19.
Tan, Shijing, Ding‐Fu Shao, W. J. Lu, et al.. (2014). Novel quasi-2D metal in CuSe-based layered compound: Bi$_{2}$YO$_{4}$Cu$_{2}$Se$_{2}$. arXiv (Cornell University). 1 indexed citations
20.
Hsiao, Yi‐Min, et al.. (2011). XCC2731, a GGDEF domain protein in Xanthomonas campestris, is involved in bacterial attachment and is positively regulated by Clp. Microbiological Research. 166(7). 548–565. 28 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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