Ning Song

1.1k citations
49 papers · 785 indexed · 1 hit paper · h-index 15
Topics
MicroRNA in disease regulation (9 papers)Cancer-related molecular mechanisms research (9 papers)RNA modifications and cancer (7 papers)

In The Last Decade

Ning Song

47 papers receiving 770 citations

Hit Papers

Homeostasis and metabolism of iron and other metal ions i...2025202620251020304050

Peers

Ning Song
Comparison fields: 5 of 108
  • Molecular Biology 427
  • Plant Science 195
  • Cancer Research 146
  • Genetics 105
  • Nutrition and Dietetics 61
Replace Xuan Yao with:
Xuan Yao China
Xiuhua Meng China
Junfeng Chen China
Jingjing Xiao China
Qianqian Liu China
Qiushi Wang China
Eriko Kage‐Nakadai Japan
Jun Lin China
Bong‐Seok Song South Korea
Zhihong Zheng China
Ning Song relative to Xuan Yao China Xuan Yao's profile →
Citations per field
00.5×1.5×2.2×
Xuan Yao · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Homeostasis and metabolism of iron and other metal ions in neurodegenerative diseasesbreakdown →
56
3 1
4 14
5 4
6 14
7 5
8 5
9 8
10 10
11 24
12 6
13 35
14 8
15 4
16 149
17 3
18 14
19 10
20
Several flavonoids from Capsella bursa-pastoris (L.) Medic.
35

About Ning Song

Ning Song is a scholar working on Cancer Research, Agronomy and Crop Science and Developmental Neuroscience, having authored 49 papers that have together received 785 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (146 citations), Business and International Management (16 citations) and Sensory Systems (33 citations). Ning Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Weibin Song, Weilong Yang, Jinsheng Lai, Jinjie Zhu, Silong Sun, Haiming Zhao, Lian Huang, Huibin Tian, Jun Luo and Jinqiao Qian. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Environmental Pollution.

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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