Nanshan Song

1.3k total citations · 2 hit papers
14 papers, 899 citations indexed

About

Nanshan Song is a scholar working on Molecular Biology, Neurology and Biological Psychiatry. According to data from OpenAlex, Nanshan Song has authored 14 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Biological Psychiatry. Recurrent topics in Nanshan Song's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Adenosine and Purinergic Signaling (4 papers) and Tryptophan and brain disorders (4 papers). Nanshan Song is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Adenosine and Purinergic Signaling (4 papers) and Tryptophan and brain disorders (4 papers). Nanshan Song collaborates with scholars based in China and United States. Nanshan Song's co-authors include Gang Hu, Ming Lu, Jianhua Ding, Yiming Sun, Miaomiao Chen, Yinquan Fang, Si Sun, Honghong Yao, Ting Sun and Qiqi Song and has published in prestigious journals such as Nature Communications, Science Advances and Cell Death and Differentiation.

In The Last Decade

Nanshan Song

14 papers receiving 896 citations

Hit Papers

Small molecule-driven NLRP3 inflammation inhibition via i... 2019 2026 2021 2023 2019 2021 100 200 300

Peers

Nanshan Song
Comparison fields: 5 of 91
  • Molecular Biology 510
  • Neurology 193
  • Epidemiology 135
  • Biological Psychiatry 125
  • Neurology 118
Replace Sanaz Nasoohi with:
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Sanaz Nasoohi Iran View profile →
Citations per field, relative to Nanshan Song
Nanshan Song · 1×
Citations per year, relative to Nanshan Song
Nanshan Song · 1×

Countries citing papers authored by Nanshan Song

Since Specialization
Citations

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

Fields of papers citing papers by Nanshan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanshan Song

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 11
3 31
4 37
5 9
6 22
7 30
8
NLRP3/caspase-1/GSDMD–mediated pyroptosis exerts a crucial role in astrocyte pathological injury in mouse model of depression breakdown →
205
9 10
10 40
11 14
12 141
13
Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease breakdown →
325
14 22

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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2026