Ning Song

69 total papers · 1.1k total citations
48 papers, 771 citations indexed

About

Ning Song is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ning Song has authored 48 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Ning Song's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (7 papers). Ning Song is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (7 papers). Ning Song collaborates with scholars based in China, United States and South Korea. Ning Song's co-authors include Weibin Song, Silong Sun, Jinjie Zhu, Weilong Yang, Jinsheng Lai, Haiming Zhao, Lian Huang, Huibin Tian, Jun Luo and Jiao Wu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Environmental Pollution.

In The Last Decade

Ning Song

47 papers receiving 757 citations

Hit Papers

Homeostasis and metabolis... 2025 2026 2025 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Ning Song 420 193 145 105 59 48 771
Debing Yu 291 0.7× 155 0.8× 98 0.7× 98 0.9× 43 0.7× 30 660
Zhongxian Xu 391 0.9× 85 0.4× 180 1.2× 126 1.2× 21 0.4× 41 736
Xuehuai Shen 468 1.1× 97 0.5× 63 0.4× 84 0.8× 25 0.4× 49 774
Rajkumar Ramalingam 270 0.6× 71 0.4× 45 0.3× 56 0.5× 34 0.6× 48 739
Marco Redaelli 279 0.7× 61 0.3× 81 0.6× 51 0.5× 64 1.1× 42 800
Jack Kelly 375 0.9× 160 0.8× 115 0.8× 33 0.3× 89 1.5× 30 792
Djamila Onésime 540 1.3× 62 0.3× 53 0.4× 107 1.0× 33 0.6× 25 846
Yuanyuan Gao 385 0.9× 51 0.3× 235 1.6× 57 0.5× 28 0.5× 40 755
Dennis Fitzpatrick 222 0.5× 227 1.2× 60 0.4× 41 0.4× 80 1.4× 39 835
Xin He 520 1.2× 142 0.7× 63 0.4× 145 1.4× 73 1.2× 44 831

Countries citing papers authored by Ning Song

Since Specialization
Citations

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

Fields of papers citing papers by Ning Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Song. A scholar is included among the top collaborators of Ning 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 Ning Song. Ning 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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