Shanji Fu

483 total citations
12 papers, 352 citations indexed

About

Shanji Fu is a scholar working on Molecular Biology, Biochemistry and Food Science. According to data from OpenAlex, Shanji Fu has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biochemistry and 3 papers in Food Science. Recurrent topics in Shanji Fu's work include Polyamine Metabolism and Applications (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Melamine detection and toxicity (3 papers). Shanji Fu is often cited by papers focused on Polyamine Metabolism and Applications (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Melamine detection and toxicity (3 papers). Shanji Fu collaborates with scholars based in China, United States and Hong Kong. Shanji Fu's co-authors include Wenhao Li, Tong Chen, Lijuan Wang, Yaming Li, Wenjing Zhao, Chen Li, Ning Zhang, Dan Luo, Bing Chen and Qifeng Yang and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and British Journal of Cancer.

In The Last Decade

Shanji Fu

12 papers receiving 350 citations

Peers

Shanji Fu

MB

CR

MC

HTM

BE

Alok Ghosh India

Kumiko Yamamoto Japan

Mohammad Zulkifli United States

Chenxia He China

Zhilan Chen China

Hyeoncheol Kim United States

Ingrit Hamann Canada

Joo‐Young Kim South Korea

Chenxiao Zhen China

Kehuan Sun China

Alok Ghosh India

Shanji Fu

253 ×1.1

MB

74 ×0.6

CR

26 ×0.9

MC

22 ×0.7

HTM

21 ×0.7

BE

Citations per year, relative to Shanji Fu Shanji Fu (= 1×) peers Alok Ghosh

Countries citing papers authored by Shanji Fu

Since Specialization

Citations

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

Fields of papers citing papers by Shanji Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanji Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanji Fu. A scholar is included among the top collaborators of Shanji Fu 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 Shanji Fu. Shanji Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Li, Qingmei, Qiaoli Zhang, Chunhong Ma, et al.. (2024). RPA-CRISPR-Cas-Mediated Dual Lateral Flow Assay for the Point-of-Care Testing of HPV16 and HPV18. Bioconjugate Chemistry. 35(11). 1797–1804. 11 indexed citations

2.

Wang, Xiaolong, Tong Chen, Chen Li, et al.. (2022). CircRNA-CREIT inhibits stress granule assembly and overcomes doxorubicin resistance in TNBC by destabilizing PKR. Journal of Hematology & Oncology. 15(1). 122–122. 131 indexed citations

3.

Wang, Ze-Ying, Shanji Fu, Changling Li, et al.. (2022). Salvianolic acid B alleviates neurological injury by upregulating stanniocalcin 1 expression. Annals of Translational Medicine. 10(13). 739–739. 18 indexed citations

4.

Hou, Minmin, et al.. (2022). Penetration of Organophosphate Triesters and Diesters across the Blood–Cerebrospinal Fluid Barrier: Efficiencies, Impact Factors, and Mechanisms. Environmental Science & Technology. 56(12). 8221–8230. 43 indexed citations

5.

Fu, Li, Kena Fu, Xuwen Gao, et al.. (2021). Enhanced Near-Infrared Electrochemiluminescence from Trinary Ag–In–S to Multinary Ag–Ga–In–S Nanocrystals via Doping-in-Growth and Its Immunosensing Applications. Analytical Chemistry. 93(4). 2160–2165. 45 indexed citations

6.

Wang, Zhaoyang, Mengqi Guo, Haitao Yuan, et al.. (2021). PARP1 deficiency protects against hyperglycemia-induced neointimal hyperplasia by upregulating TFPI2 activity in diabetic mice. Redox Biology. 46. 102084–102084. 12 indexed citations

7.

Zhang, Jian, et al.. (2015). The combination of decoy receptor 3 and soluble triggering receptor expressed on myeloid cells-1 for the diagnosis of nosocomial bacterial meningitis. Annals of Clinical Microbiology and Antimicrobials. 14(1). 17–17. 8 indexed citations

8.

Dong, Zhao‐Ru, Shanji Fu, Xiaofei Xu, et al.. (2014). Leptin-mediated regulation of ICAM-1 is Rho/ROCK dependent and enhances gastric cancer cell migration. British Journal of Cancer. 110(7). 1801–1810. 40 indexed citations

9.

Fu, Shanji. (2011). Polyamines analysis by HPLC and their application as tumor markers. Frontiers in Bioscience-Elite. E4(1). 1795–1795. 5 indexed citations

10.

Fu, Shanji. (2008). HPLC determination of polyamines in human serum with fluorescence detection. Journal of Biotechnology. 136. S192–S192. 1 indexed citations

11.

Fu, Shanji. (2008). Determination of polyamines in human urine by HPLC following pre-column derivatization with dansyl chloride. Journal of Biotechnology. 136. S193–S193. 2 indexed citations

12.

Fu, Shanji, et al.. (1998). Determination of polyamines in human prostate by high-performance liquid chromatography with fluorescence detection. Journal of Chromatography B Biomedical Sciences and Applications. 709(2). 297–300. 36 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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