Ning Song

506 total citations
20 papers, 325 citations indexed

About

Ning Song is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Ning Song has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Oncology. Recurrent topics in Ning Song's work include Antibiotic Resistance in Bacteria (3 papers), Antibiotic Use and Resistance (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Ning Song is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Antibiotic Use and Resistance (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Ning Song collaborates with scholars based in China, United Arab Emirates and United States. Ning Song's co-authors include Jihong Li, Yuanyuan Li, Yuan Chen, Wenshu He, Yuanyuan Li, Yuan Chen, Yu Zhang, Tong Hu, Jia Hu and Ruifang Zhang and has published in prestigious journals such as PLoS ONE, RSC Advances and Journal of Animal Science.

In The Last Decade

Ning Song

19 papers receiving 321 citations

Peers

Ning Song
Andrew Chou United States
Bei Yao China
Fansen Ji China
Mi-Ran Seo South Korea
Sharon Bayuga United States
Andrew Chou United States
Ning Song
Citations per year, relative to Ning Song Ning Song (= 1×) peers Andrew Chou

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
1.
2.
Song, Ning, Lijuan Wang, Junfeng Wang, et al.. (2024). Preparation of three‐dimensional nanoporous copper foil with high specific surface area. Rare Metals. 43(7). 3430–3437. 4 indexed citations
3.
Chang, De, Ning Song, Jing Gao, et al.. (2023). The emergence of influenza B as a major respiratory pathogen in the absence of COVID-19 during the 2021–2022 flu season in China. Virology Journal. 20(1). 189–189. 6 indexed citations
5.
Liu, Faqiang, Yulan Zhang, Xiaoli Wang, et al.. (2023). Virulence, antimicrobial resistance, and molecular characteristics of carbapenem-resistant Klebsiella pneumoniae in a hospital in Shijiazhuang City from China. International Microbiology. 26(4). 1073–1085. 6 indexed citations
7.
Jiang, Chunyan, Ning Song, Jing Zhou, et al.. (2021). Human amnion-derived mesenchymal stem cells improved the reproductive function of age-related diminished ovarian reserve in mice through Ampk/FoxO3a signaling pathway. Stem Cell Research & Therapy. 12(1). 317–317. 34 indexed citations
9.
Li, Yuanyuan, Jihong Li, Tong Hu, et al.. (2020). Five-year change of prevalence and risk factors for infection and mortality of carbapenem-resistant Klebsiella pneumoniae bloodstream infection in a tertiary hospital in North China. Antimicrobial Resistance and Infection Control. 9(1). 79–79. 56 indexed citations
10.
Song, Ning, Ying Zhang, Fanfei Kong, Hui Yang, & Xiaoxin Ma. (2020). HOXA-AS2 promotes type I endometrial carcinoma via miRNA-302c-3p-mediated regulation of ZFX. Cancer Cell International. 20(1). 359–359. 14 indexed citations
11.
Li, Jihong, Yuanyuan Li, Ning Song, & Yuan Chen. (2019). Risk factors for carbapenem-resistant Klebsiella pneumoniae infection: A meta-analysis. Journal of Global Antimicrobial Resistance. 21. 306–313. 52 indexed citations
13.
Wang, Baohua, Ning Song, Tong Yu, et al.. (2014). Expression of Tumor Necrosis Factor-Alpha-Mediated Genes Predicts Recurrence-Free Survival in Lung Cancer. PLoS ONE. 9(12). e115945–e115945. 16 indexed citations
14.
Du, Xiaowei, et al.. (2014). A caryophyllane-type sesquiterpene, caryophyllenol A from Valeriana amurensis. Fitoterapia. 96. 18–24. 16 indexed citations
15.
Song, Ning, et al.. (2013). Prognostic value of HMGB3 expression in patients with non-small cell lung cancer. Tumor Biology. 34(5). 2599–2603. 37 indexed citations
16.
Song, Ning, et al.. (2013). Prevalence, severity and risk factors of asthma, rhinitis and eczema in a large group of Chinese schoolchildren. Journal of Asthma. 51(3). 232–242. 38 indexed citations
18.
Song, Ning, et al.. (2013). [Effect of selective phosphodiesterase 4 inhibitors on nuclear factor kappa B, tumor necrosis factor-α and interleukin-8 expression in peripheral blood mononuclear cells in rheumatoid arthritis with interstitial lung disease].. PubMed. 52(10). 829–32. 3 indexed citations
19.
Song, Ning, et al.. (2012). Prevalence and severity of asthma, rhinitis and eczema in Chinese school children. 40. 237. 2 indexed citations

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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