Ling Wu

400 total citations
18 papers, 313 citations indexed

About

Ling Wu is a scholar working on Analytical Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ling Wu has authored 18 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Analytical Chemistry, 5 papers in Molecular Biology and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ling Wu's work include Analytical chemistry methods development (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). Ling Wu is often cited by papers focused on Analytical chemistry methods development (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). Ling Wu collaborates with scholars based in China, United States and Denmark. Ling Wu's co-authors include Chengjun Sun, Yongxin Li, Hui Ni, Shuo Yin, Yi Yang, Rui Sun, Feng Chen, Lijun Li, Zedong Jiang and Feng Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, TrAC Trends in Analytical Chemistry and International Journal of Biological Macromolecules.

In The Last Decade

Ling Wu

17 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Wu China 9 74 72 64 54 54 18 313
Wojciech Szwerc Poland 9 47 0.6× 44 0.6× 77 1.2× 28 0.5× 68 1.3× 15 335
Edyta Nalewajko‐Sieliwoniuk Poland 12 80 1.1× 62 0.9× 35 0.5× 24 0.4× 93 1.7× 21 407
Noelia López-Gutiérrez Spain 9 89 1.2× 74 1.0× 50 0.8× 15 0.3× 55 1.0× 13 350
Christophe Marcic France 13 55 0.7× 129 1.8× 23 0.4× 84 1.6× 116 2.1× 17 432
Justyna Aszyk Poland 13 114 1.5× 48 0.7× 19 0.3× 62 1.1× 48 0.9× 17 436
Kevin Tran United States 11 114 1.5× 107 1.5× 19 0.3× 45 0.8× 54 1.0× 27 443
Alex O. Okaru Kenya 9 55 0.7× 94 1.3× 49 0.8× 18 0.3× 44 0.8× 12 286
Mei-Chih Lin Taiwan 8 98 1.3× 31 0.4× 20 0.3× 60 1.1× 45 0.8× 19 290
Samuel Cantarero Spain 12 62 0.8× 52 0.7× 18 0.3× 34 0.6× 73 1.4× 19 360
Guanjun Nan China 10 84 1.1× 32 0.4× 36 0.6× 17 0.3× 31 0.6× 22 279

Countries citing papers authored by Ling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Wu

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

All Works

18 of 18 papers shown
1.
Yu, Xin‐Yao, Junyi He, Fei Tang, et al.. (2023). Highly sensitive determination of l-glutamic acid in pig serum with an enzyme-free molecularly imprinted polymer on a carbon-nanotube modified electrode. Analytical Methods. 15(42). 5589–5597. 7 indexed citations
2.
Wang, Zhen, Xin Zhang, Yuanqiang Zhang, et al.. (2023). Icosapent ethyl therapy for very high triglyceride levels: a 12-week, multi-center, placebo-controlled, randomized, double-blinded, phase III clinical trial in China. Lipids in Health and Disease. 22(1). 71–71. 2 indexed citations
3.
Zhang, Jing, Yi Yang, Chengjun Sun, & Ling Wu. (2023). Sample preparation and instrumental detection methods for tetracycline antibiotics. International Journal of Environmental & Analytical Chemistry. 104(19). 8102–8131. 4 indexed citations
4.
Chen, Yanhong, Ling Wu, Xinghua Wang, et al.. (2023). Effect of red algae powder on gel properties and in vitro hypolipidemic activity of fish balls. Algal Research. 74. 103223–103223. 8 indexed citations
5.
Wu, Ling, et al.. (2023). Biopsy-proven granulomatous interstitial nephritis associated with vancomycin in an adult patient: a case report. Journal of International Medical Research. 51(6). 3639240980–3639240980.
7.
Jiang, Zedong, Pingping He, Ling Wu, et al.. (2021). Structural characterization and pro-angiogenic property of a polysaccharide isolated from red seaweed Bangia fusco-purpurea. International Journal of Biological Macromolecules. 181. 705–717. 27 indexed citations
8.
Yang, Yi, Shuo Yin, Ling Wu, Yongxin Li, & Chengjun Sun. (2021). Determination of Six Tetracyclines in Eggs and Chicken by Dispersive Liquid-Liquid Microextraction Combined with High-Performance Liquid Chromatography. Journal of AOAC International. 104(6). 1549–1558. 8 indexed citations
9.
Yang, Yi, Shuo Yin, Ling Wu, Yongxin Li, & Chengjun Sun. (2021). Application of ionic liquid-based air-assisted dispersive liquid–liquid microextraction combined with high-performance liquid chromatography for the determination of six tetracyclines in honey. European Food Research and Technology. 247(11). 2777–2785. 8 indexed citations
10.
Ni, Hui, et al.. (2021). Analysis of aroma‐active volatiles in an SDE extract of white tea. Food Science & Nutrition. 9(2). 605–615. 35 indexed citations
11.
Du, Xiping, Chun Wang, Ling Wu, et al.. (2020). Two‐dimensional liquid chromatography analysis of all‐trans‐, 9‐cis‐, and 13‐cis‐astaxanthin in raw extracts from Phaffia rhodozyma. Journal of Separation Science. 43(16). 3206–3215. 11 indexed citations
12.
Sun, Chengjun, et al.. (2020). Advances in analysis of nitrated polycyclic aromatic hydrocarbons in various matrices. TrAC Trends in Analytical Chemistry. 127. 115878–115878. 27 indexed citations
13.
14.
Yin, Shuo, Yi Yang, Danni Yang, et al.. (2019). Determination of 11 Phthalate Esters in Beverages by Magnetic Solid-Phase Extraction Combined with High-Performance Liquid Chromatography. Journal of AOAC International. 102(5). 1624–1631. 21 indexed citations
15.
Wu, Ling, Rui Sun, Yongxin Li, & Chengjun Sun. (2019). Sample preparation and analytical methods for polycyclic aromatic hydrocarbons in sediment. Trends in Environmental Analytical Chemistry. 24. e00074–e00074. 33 indexed citations
16.
Liu, Xiaoqing, et al.. (2019). Preparation of isoquercitrin by biotransformation of rutin using α-L-rhamnosidase from Aspergillus niger JMU-TS528 and HSCCC purification. Preparative Biochemistry & Biotechnology. 50(1). 1–9. 28 indexed citations
17.
Yin, Shuo, Yi Yang, Ling Wu, Yongxin Li, & Chengjun Sun. (2018). Recent advances in sample preparation and analysis methods for vitamin D and its analogues in different matrices. TrAC Trends in Analytical Chemistry. 110. 204–220. 53 indexed citations
18.
Sun, Hao, Hui Ni, Yuanfan Yang, et al.. (2014). Investigation of Sunlight-Induced Deterioration of Aroma of Pummelo (Citrus maxima) Essential Oil. Journal of Agricultural and Food Chemistry. 62(49). 11818–11830. 34 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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