Lingzhen Song

46 total papers · 429 total citations
27 papers, 312 citations indexed

About

Lingzhen Song is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Lingzhen Song has authored 27 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Lingzhen Song's work include Pain Mechanisms and Treatments (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Lingzhen Song is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Lingzhen Song collaborates with scholars based in China, Germany and United Arab Emirates. Lingzhen Song's co-authors include Shanting Zhao, Ileana L. Hanganu‐Opatz, Xiaxia Xu, Sebastian H. Bitzenhofer, Joachim Ahlbeck, Shulin Chen, Mattia Chini, Kaikai Li, Michael Frotscher and Lei An and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Development.

In The Last Decade

Lingzhen Song

27 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lingzhen Song 120 98 61 54 48 27 312
Hasan Mohammad 82 0.7× 125 1.3× 32 0.5× 48 0.9× 54 1.1× 13 333
Maria J. Pinto 125 1.0× 141 1.4× 50 0.8× 26 0.5× 47 1.0× 15 340
Nagayasu OTSUKA 167 1.4× 109 1.1× 41 0.7× 47 0.9× 53 1.1× 36 344
Satomi Iwata 113 0.9× 93 0.9× 27 0.4× 38 0.7× 37 0.8× 10 252
Yuxiu Shi 71 0.6× 76 0.8× 64 1.0× 41 0.8× 46 1.0× 19 358
Alessandro Ciccarelli 118 1.0× 171 1.7× 46 0.8× 34 0.6× 30 0.6× 13 344
Jennifer Altman 115 1.0× 109 1.1× 24 0.4× 35 0.6× 29 0.6× 30 295
Tamara Zharkovsky 146 1.2× 70 0.7× 138 2.3× 37 0.7× 27 0.6× 13 354
Dani R. Smith 128 1.1× 141 1.4× 42 0.7× 76 1.4× 24 0.5× 16 357
Ana Lima 76 0.6× 132 1.3× 31 0.5× 39 0.7× 34 0.7× 14 304

Countries citing papers authored by Lingzhen Song

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhen Song

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026