Ya Xie

639 total citations
16 papers, 475 citations indexed

About

Ya Xie is a scholar working on Molecular Biology, Nutrition and Dietetics and Spectroscopy. According to data from OpenAlex, Ya Xie has authored 16 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Nutrition and Dietetics and 6 papers in Spectroscopy. Recurrent topics in Ya Xie's work include Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (6 papers) and Fatty Acid Research and Health (5 papers). Ya Xie is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (6 papers) and Fatty Acid Research and Health (5 papers). Ya Xie collaborates with scholars based in China, Canada and France. Ya Xie's co-authors include Fang Wei, Xin Lv, Bangfu Wu, Shuling Xu, Fenghong Huang, Zongyuan Wu, Hong Chen, Xinghao Tu, Hong Chen and Hongqing Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ya Xie

16 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya Xie China	12	279	153	91	71	70	16	475
Anna Chojnacka Poland	12	265 0.9×	99 0.6×	72 0.8×	32 0.5×	80 1.1×	27	424
Grzegorz Kiełbowicz Poland	12	209 0.7×	107 0.7×	65 0.7×	38 0.5×	68 1.0×	19	373
Kazuaki Yoshinaga Japan	14	190 0.7×	246 1.6×	113 1.2×	51 0.7×	134 1.9×	56	517
Paavo Kalo Finland	17	282 1.0×	197 1.3×	220 2.4×	69 1.0×	114 1.6×	32	603
Vassilios M. Kapoulas Greece	13	241 0.9×	143 0.9×	68 0.7×	45 0.6×	122 1.7×	29	544
Christine M. Seppanen United States	9	90 0.3×	98 0.6×	33 0.4×	83 1.2×	21 0.3×	11	579
Hongmei Li China	11	238 0.9×	43 0.3×	19 0.2×	57 0.8×	15 0.2×	19	411
Gudrun Laskawy Germany	13	140 0.5×	128 0.8×	35 0.4×	91 1.3×	35 0.5×	18	569
Anahita Keyhani Canada	10	85 0.3×	45 0.3×	40 0.4×	70 1.0×	12 0.2×	13	402
Minoru Kamimura Japan	15	367 1.3×	37 0.2×	115 1.3×	102 1.4×	25 0.4×	39	587

Countries citing papers authored by Ya Xie

Since Specialization

Citations

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

Fields of papers citing papers by Ya Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Xie

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

All Works

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16 of 16 papers shown

Xie, Ya, et al.. (2023). Design of X-Band Time Delay Component With High Integration. 32. 1–4. 1 indexed citations

Wei, Fang, Fenghong Huang, Ya Xie, et al.. (2021). Comprehensive and High-Coverage Lipidomic Analysis of Oilseeds Based on Ultrahigh-Performance Liquid Chromatography Coupled with Electrospray Ionization Quadrupole Time-of-Flight Mass Spectrometry. Journal of Agricultural and Food Chemistry. 69(32). 8964–8980. 56 indexed citations

Wu, Zongyuan, Bangfu Wu, Xin Lv, et al.. (2021). Serumal Lipidomics Reveals the Anti-inflammatory Effect of Flax Lignans and Sinapic Acid in High-Fat-Diet-Fed Mice. Journal of Agricultural and Food Chemistry. 69(32). 9111–9123. 29 indexed citations

Tu, Xinghao, Bangfu Wu, Ya Xie, et al.. (2021). A comprehensive study of raw and roasted macadamia nuts: Lipid profile, physicochemical, nutritional, and sensory properties. Food Science & Nutrition. 9(3). 1688–1697. 42 indexed citations

Xu, Shuling, Xin Lv, Bangfu Wu, et al.. (2021). Pseudotargeted Lipidomics Strategy Enabling Comprehensive Profiling and Precise Lipid Structural Elucidation of Polyunsaturated Lipid-Rich Echium Oil. Journal of Agricultural and Food Chemistry. 69(32). 9012–9024. 22 indexed citations

Xu, Shuling, Fang Wei, Ya Xie, et al.. (2020). Localisation of C=C Bond and absolute quantification of unsaturated Fatty Acids in Vegetable Oils based on photochemical derivatisation reaction coupled with mass spectrometry. International Journal of Food Science & Technology. 55(7). 2883–2892. 5 indexed citations

Xu, Shuling, Bangfu Wu, Matej Orešič, et al.. (2020). Double Derivatization Strategy for High-Sensitivity and High-Coverage Localization of Double Bonds in Free Fatty Acids by Mass Spectrometry. Analytical Chemistry. 92(9). 6446–6455. 31 indexed citations

Xie, Ya, Bangfu Wu, Zongyuan Wu, et al.. (2020). Ultrasound-assisted one-phase solvent extraction coupled with liquid chromatography-quadrupole time-of-flight mass spectrometry for efficient profiling of egg yolk lipids. Food Chemistry. 319. 126547–126547. 53 indexed citations

Tu, Xinghao, Ya Xie, Fang Wei, et al.. (2020). Lipid analysis of three special nervonic acid resources in China. SHILAP Revista de lepidopterología. 5(4). 180–186. 8 indexed citations

10.

Wu, Bangfu, Ya Xie, Shuling Xu, et al.. (2020). Comprehensive Lipidomics Analysis Reveals the Effects of Different Omega-3 Polyunsaturated Fatty Acid-Rich Diets on Egg Yolk Lipids. Journal of Agricultural and Food Chemistry. 68(50). 15048–15060. 29 indexed citations

11.

Wu, Bangfu, Fang Wei, Shuling Xu, et al.. (2020). Mass spectrometry-based lipidomics as a powerful platform in foodomics research. Trends in Food Science & Technology. 107. 358–376. 99 indexed citations

12.

Xie, Ya, Fang Wei, Shuling Xu, et al.. (2019). Profiling and quantification of lipids in cold-pressed rapeseed oils based on direct infusion electrospray ionization tandem mass spectrometry. Food Chemistry. 285. 194–203. 46 indexed citations

13.

Ma, Huifang, Fang Wei, Bangfu Wu, et al.. (2018). Profiling and quantification of aminophospholipids based on chemical derivatization coupled with HPLC-MS. Journal of Lipid Research. 60(1). 121–134. 11 indexed citations

14.

Xu, Shuling, Fang Wei, Ya Xie, et al.. (2018). Research advances based on mass spectrometry for profiling of triacylglycerols in oils and fats and their applications. Electrophoresis. 39(13). 1558–1568. 26 indexed citations

15.

Wu, Zongyuan, Bangfu Wu, Fang Wei, et al.. (2018). Lipid profiling in serum from apolipoprotein E-knock out mice fed with different diets and its application to the study of the regulatory effect on lipid metabolism. Food & Function. 9(10). 5103–5114. 15 indexed citations

16.

Hu, Jiangyong, et al.. (2007). [Isolation and purification of solanesol from potato leaves by high-speed counter-current chromatography and identification by atmospheric pressure chemical ionization mass spectrometry].. PubMed. 25(4). 528–31. 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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