Zongbin Song

64 total papers · 1.3k total citations
50 papers, 1.0k citations indexed

About

Zongbin Song is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zongbin Song has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 16 papers in Molecular Biology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zongbin Song's work include Pain Mechanisms and Treatments (22 papers), Nerve injury and regeneration (7 papers) and Neuropeptides and Animal Physiology (6 papers). Zongbin Song is often cited by papers focused on Pain Mechanisms and Treatments (22 papers), Nerve injury and regeneration (7 papers) and Neuropeptides and Animal Physiology (6 papers). Zongbin Song collaborates with scholars based in China, United States and Germany. Zongbin Song's co-authors include Qulian Guo, Wangyuan Zou, Changsheng Huang, Xiaoyan Zhu, Ruimin Chang, Yajing Yuan, Zhi Ye, Pingping Xia, Na Wang and Zhuofeng Ding and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Zongbin Song

47 papers receiving 994 citations

Author Peers

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

Author Last Decade Papers Cites
Zongbin Song 426 330 236 135 101 50 1.0k
Chuanhan Zhang 314 0.7× 334 1.0× 186 0.8× 252 1.9× 97 1.0× 45 974
Chunyan Wang 513 1.2× 286 0.9× 194 0.8× 97 0.7× 121 1.2× 52 1.1k
Ruixian Guo 468 1.1× 411 1.2× 341 1.4× 148 1.1× 38 0.4× 32 1.1k
Yuan Han 340 0.8× 224 0.7× 260 1.1× 125 0.9× 138 1.4× 55 981
Tao Song 304 0.7× 432 1.3× 122 0.5× 83 0.6× 46 0.5× 70 1.1k
Yan Yang 395 0.9× 283 0.9× 158 0.7× 90 0.7× 59 0.6× 59 1.1k
Zhijian Fu 351 0.8× 212 0.6× 165 0.7× 96 0.7× 45 0.4× 56 1.0k
Song Cao 295 0.7× 227 0.7× 158 0.7× 98 0.7× 34 0.3× 64 914
Nicole N. Scheff 378 0.9× 282 0.9× 265 1.1× 89 0.7× 34 0.3× 42 1.1k
Megumi Matsuda 511 1.2× 219 0.7× 226 1.0× 97 0.7× 35 0.3× 28 1.1k

Countries citing papers authored by Zongbin Song

Since Specialization
Citations

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

Fields of papers citing papers by Zongbin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongbin Song

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

All Works

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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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