Sha Na

648 total citations
26 papers, 517 citations indexed

About

Sha Na is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Sha Na has authored 26 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Pharmacology. Recurrent topics in Sha Na's work include Bioactive natural compounds (5 papers), Ginseng Biological Effects and Applications (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). Sha Na is often cited by papers focused on Bioactive natural compounds (5 papers), Ginseng Biological Effects and Applications (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). Sha Na collaborates with scholars based in China, Netherlands and Canada. Sha Na's co-authors include Ruiya Li, Lidao Bao, Yan Li, Lingli Zhang, Lizhou Jia, De‐an Guo, Zhiqiang Lu, Guangtong Chen, Shuhong Guan and Yanyan Liu and has published in prestigious journals such as PLoS ONE, Journal of Ethnopharmacology and International Journal of Food Microbiology.

In The Last Decade

Sha Na

24 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sha Na China 12 338 180 68 51 45 26 517
Huankai Yao China 13 319 0.9× 97 0.5× 108 1.6× 31 0.6× 11 0.2× 38 506
Mingchuan Liu China 12 376 1.1× 90 0.5× 70 1.0× 36 0.7× 8 0.2× 28 550
Menna El Gaafary Germany 11 315 0.9× 43 0.2× 67 1.0× 89 1.7× 15 0.3× 19 535
Naoya Kimoto Japan 12 252 0.7× 100 0.6× 82 1.2× 27 0.5× 9 0.2× 28 541
Yilong Zhang China 12 264 0.8× 107 0.6× 25 0.4× 18 0.4× 9 0.2× 28 483
Jiahui Han China 14 213 0.6× 66 0.4× 58 0.9× 70 1.4× 14 0.3× 52 473
Chen Qing China 12 250 0.7× 86 0.5× 112 1.6× 95 1.9× 7 0.2× 24 511
Cindy Gallerne France 13 357 1.1× 98 0.5× 191 2.8× 38 0.7× 12 0.3× 15 823
Chenghua Lou China 15 304 0.9× 72 0.4× 92 1.4× 93 1.8× 6 0.1× 22 511
Hangyu Wang China 16 277 0.8× 51 0.3× 124 1.8× 67 1.3× 8 0.2× 42 561

Countries citing papers authored by Sha Na

Since Specialization
Citations

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

Fields of papers citing papers by Sha Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Na

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Na. A scholar is included among the top collaborators of Sha Na 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 Sha Na. Sha Na 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.
Zhao, Anni, Xiaomei Liu, Xiping Chen, et al.. (2024). Aqueous Extract of Rhubarb Promotes Hepatotoxicity via Facilitating PKM2-Mediated Aerobic Glycolysis in a Rat Model of Diethylnitrosamine-Induced Liver Cancer. Drug Design Development and Therapy. Volume 18. 4497–4510. 4 indexed citations
2.
Na, Sha, et al.. (2024). Effects of bone marrow mesenchymal stem cell-conditioned medium on the proliferation and migration of liposarcoma cells. Folia Histochemica et Cytobiologica. 62(1). 50–60.
3.
Li, Zhiyong, Yuchi Wang, Qiang Sun, et al.. (2023). A dataset describing the community characteristics and geographic distribution of <i>Krascheninnikovia compacta</i>. Biodiversity Science. 31(10). 23172–23172.
4.
Song, Hang, Bin Liu, Bin Dong, et al.. (2021). Exosome-Based Delivery of Natural Products in Cancer Therapy. Frontiers in Cell and Developmental Biology. 9. 650426–650426. 75 indexed citations
5.
Huang, Hongwu, Zhenzhen Liu, Sha Na, et al.. (2021). Rhubarb granule promotes diethylnitrosamine-induced liver tumorigenesis by activating the oxidative branch of pentose phosphate pathway via G6PD in rats. Journal of Ethnopharmacology. 281. 114479–114479. 6 indexed citations
6.
Xu, Jing, Yanyan Liu, Sha Na, et al.. (2021). A review of anti-tumour effects of ginsenoside in gastrointestinal cancer. Journal of Pharmacy and Pharmacology. 73(10). 1292–1301. 17 indexed citations
7.
Na, Sha, et al.. (2017). Saponins extracted from Dioscorea collettii rhizomes regulate the expression of urate transporters in chronic hyperuricemia rats. Biomedicine & Pharmacotherapy. 93. 88–94. 42 indexed citations
8.
Yao, Yiping, et al.. (2016). Enzyme activities of saline-alkali soil and its relationship with soil microbial biomass and physicochemical factor.. Zhongguo nongye ke-ji daobao. 18(2). 128–138. 2 indexed citations
9.
Warda, Alicja K., Heidy M.W. den Besten, Sha Na, Tjakko Abee, & M.N. Nierop Groot. (2015). Influence of food matrix on outgrowth heterogeneity of heat damaged Bacillus cereus spores. International Journal of Food Microbiology. 201. 27–34. 29 indexed citations
10.
Li, Ruiya, Lingli Zhang, Lizhou Jia, et al.. (2014). Long Non-Coding RNA BANCR Promotes Proliferation in Malignant Melanoma by Regulating MAPK Pathway Activation. PLoS ONE. 9(6). e100893–e100893. 131 indexed citations
11.
Wu, Song, et al.. (2014). [Effect of total saponin of dioscorea on uric acid excretion indicators in chronic hyperuricemia rats].. PubMed. 34(1). 75–80. 6 indexed citations
12.
Na, Sha, et al.. (2013). Effect of total saponin of Dioscorea on chronic hyperuricemia and expression of URAT1 in rats. China Journal of Chinese Materia Medica. 38(14). 2348–53. 10 indexed citations
13.
Ma, Li, et al.. (2012). Tissue distribution and targeting evaluation of TMP after oral administration of TMP-loaded microemulsion to mice. Drug Development and Industrial Pharmacy. 39(12). 1951–1958. 11 indexed citations
14.
Na, Sha. (2010). Progress in Research of Malignant Melanoma. Medical Recapitulate. 1 indexed citations
15.
Huang, Huilian, et al.. (2009). Simultaneous Determination of Oxyresveratrol and Resveratrol in Rat Bile and Urine by HPLC after Oral Administration of Smilax china Extract. Natural Product Communications. 4(6). 825–30. 9 indexed citations
16.
Na, Sha, Huilian Huang, Jinqiang Zhang, et al.. (2009). Simultaneous Quantification of Eight Major Bioactive Phenolic Compounds in Chinese Propolis by High-Performance Liquid Chromatography. Natural Product Communications. 4(6). 14 indexed citations
17.
Li, Xing‐Nuo, Zhiqiang Lu, Guangtong Chen, et al.. (2008). NMR spectral assignments of isoprenylated flavanones from Sophora tonkinensis. Magnetic Resonance in Chemistry. 46(9). 898–902. 20 indexed citations
18.
Tao, Sijia, Shuhong Guan, Wei Wang, et al.. (2008). Cytotoxic Polyprenylated Xanthones from the Resin of Garcinia hanburyi. Journal of Natural Products. 72(1). 117–124. 56 indexed citations
19.
Huang, Huilian, Jinqiang Zhang, Guangtong Chen, et al.. (2007). High performance liquid chromatographic method for the determination and pharmacokinetic studies of oxyresveratrol and resveratrol in rat plasma after oral administration of Smilax china extract. Biomedical Chromatography. 22(4). 421–427. 29 indexed citations
20.
Zhang, Jinqiang, Huilian Huang, Zhiqiang Lu, et al.. (2007). LC–DAD Analysis of Six Bioactive Constituents in Rat Urine and Bile after Oral Administration of Luan-Pao-Prescription. Chromatographia. 67(3-4). 325–329. 3 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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