Ning Song

417 citations
25 papers · 272 indexed · h-index 8
Topics
Leptospirosis research and findings (6 papers)Viral Infections and Vectors (3 papers)T-cell and B-cell Immunology (3 papers)
Partner nations
ChinaGermanySlovakia

In The Last Decade

Ning Song

23 papers receiving 265 citations

Peers

Ning Song
Comparison fields: 5 of 77
  • Molecular Biology 74
  • Immunology 65
  • Nephrology 53
  • Parasitology 42
  • Pathology and Forensic Medicine 33
Replace Glória Elisa Florido Mendes with:
Glória Elisa Florido Mendes Brazil
Gerhard E. Strittmatter Switzerland
Swathy O. Vasudevan United States
Francis Green Canada
Chuan‐Yueh Huang Taiwan
Bianca Lima Ferreira Brazil
Yun Ge China
Bo Zeng China
Mei Sun China
Zhifeng Zeng China
Ning Song relative to Glória Elisa Florido Mendes Brazil Glória Elisa Florido Mendes's profile →
Citations per field
00.5×4.3×
Glória Elisa Florido Mendes · 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 1
2 0
3 1
4 0
5 10
6 5
7 1
8 3
9 8
10 3
11 7
12 6
13
Lamotrigine loaded nano-liposomes enhance brain selectivity in vivo.
1
14 4
15 101
16 16
17 4
18 5
19 34
20
[Mechanisms of purified cobra venom factor in preventing hyperacute rejection following discordant liver xenotransplantation in rats].
2

About Ning Song

Ning Song is a scholar working on Nephrology, Parasitology and Applied Microbiology and Biotechnology, having authored 25 papers that have together received 272 indexed citations. Recurring topics across this work include Leptospirosis research and findings (6 papers), Viral Infections and Vectors (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Nephrology (53 citations), Parasitology (42 citations) and Immunology (65 citations). Ning Song has collaborated with scholars based in China, Germany and Slovakia. Frequent co-authors include Friedrich Thaiss, Wenlong Zhang, Yongguo Cao, Jiaqi Wang, Fangli Lü, Shiguang Huang, Naisheng Zhang, Huanqin Zheng, Jianping Chen and Xingquan Zhu. Their work appears in journals such as The FASEB Journal, Cellular and Molecular Life Sciences and Frontiers in Immunology.

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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