Ning‐Ning Song

1.7k citations
57 papers · 1.2k indexed · h-index 23
Topics
Neuroscience and Neuropharmacology Research (14 papers)Genetics and Neurodevelopmental Disorders (14 papers)Axon Guidance and Neuronal Signaling (9 papers)

In The Last Decade

Ning‐Ning Song

54 papers receiving 1.1k citations

Peers

Ning‐Ning Song
Comparison fields: 5 of 103
  • Molecular Biology 586
  • Cellular and Molecular Neuroscience 435
  • Genetics 193
  • Developmental Neuroscience 157
  • Cognitive Neuroscience 148
Replace José Luis Nieto-González with:
José Luis Nieto-González Spain
Hisatsugu Koshimizu Japan
Lucian Medrihan Italy
Dillon Y. Chen United States
J.J. Barski Poland
Mu Sun China
Michael G. Garelick United States
Thomas K. Creson United States
Kazue Hashimoto‐Torii United States
Ning‐Ning Song relative to José Luis Nieto-González Spain José Luis Nieto-González's profile →
Citations per field
00.5×1.5×2.4×
José Luis Nieto-González · 1×
Citations per year

Countries citing papers authored by Ning‐Ning Song

Since Specialization
Citations

This map shows the geographic impact of Ning‐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‐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‐Ning Song more than expected).

Fields of papers citing papers by Ning‐Ning Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning‐Ning Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ning‐Ning Song. A scholar is included among the top collaborators of Ning‐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‐Ning Song. Ning‐Ning 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 1
6 17
7 4
8 7
9 3
10 24
11 18
12 31
13 8
14 1
15 23
16 29
17 18
18 18
19 64
20 22

About Ning‐Ning Song

Ning‐Ning Song is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Axon Guidance and Neuronal Signaling (9 papers). The work is most often cited by research in Developmental Neuroscience (157 citations), Cellular and Molecular Neuroscience (435 citations) and Biological Psychiatry (51 citations). Ning‐Ning Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Qiang Ding, Ying Huang, Lei Zhang, Qiong Zhang, Lin Xu, Jia‐Yin Chen, Ling Hu, Klaus‐Peter Lesch, Wei Lan and Duochuan Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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