Guiping Shen

848 total citations
55 papers, 658 citations indexed

About

Guiping Shen is a scholar working on Molecular Biology, Physiology and Analytical Chemistry. According to data from OpenAlex, Guiping Shen has authored 55 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Physiology and 10 papers in Analytical Chemistry. Recurrent topics in Guiping Shen's work include Metabolomics and Mass Spectrometry Studies (28 papers), Spectroscopy and Chemometric Analyses (10 papers) and Diet and metabolism studies (6 papers). Guiping Shen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Spectroscopy and Chemometric Analyses (10 papers) and Diet and metabolism studies (6 papers). Guiping Shen collaborates with scholars based in China, Malaysia and United States. Guiping Shen's co-authors include Jianghua Feng, Jingjing Xu, Jiyang Dong, X Y Feng, Kian-Kai Cheng, Huili Liu, Yan Zhang, Xuexi Wang, Jidan Ye and Tao Dai and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Guiping Shen

52 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiping Shen China 16 285 145 119 80 72 55 658
Dahye Yoon South Korea 19 532 1.9× 31 0.2× 74 0.6× 83 1.0× 74 1.0× 93 1.1k
Pengcheng Yan China 21 342 1.2× 59 0.4× 41 0.3× 98 1.2× 64 0.9× 62 1.0k
Zhenhao Li China 21 341 1.2× 99 0.7× 51 0.4× 27 0.3× 190 2.6× 69 1.0k
Timothy Sangster United Kingdom 6 387 1.4× 53 0.4× 93 0.8× 14 0.2× 41 0.6× 8 558
Flavio Giavarini Italy 15 164 0.6× 49 0.3× 23 0.2× 64 0.8× 45 0.6× 27 640
Corentine Goossens France 5 303 1.1× 54 0.4× 49 0.4× 13 0.2× 42 0.6× 6 542
Fausto Carnevale Neto Brazil 19 474 1.7× 35 0.2× 53 0.4× 11 0.1× 54 0.8× 41 898

Countries citing papers authored by Guiping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guiping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiping Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Guiping Shen. A scholar is included among the top collaborators of Guiping Shen 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 Guiping Shen. Guiping Shen 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.
Chen, Zi, Shijia Zhang, Zhiqiang Zhao, et al.. (2025). Metabolomics fingerprinting uncovered regional and cultivation-specific metabolic signatures in panax notoginseng: Insights into geographical and agricultural influences. Journal of Food Composition and Analysis. 143. 107617–107617. 1 indexed citations
2.
Lü, Jie, et al.. (2025). Nutritional heterogeneity of maricultured oysters in China: The interplay of species, season, and geographic location. Journal of Food Composition and Analysis. 142. 107423–107423.
3.
Song, Ge, Tao Dai, Yajie Chang, et al.. (2025). Understanding metabolic characteristics and molecular mechanisms of large to giant congenital melanocytic nevi: implications for melanoma risk and therapeutic targets. Analytical Methods. 17(16). 3229–3238. 1 indexed citations
4.
He, Chengcheng, et al.. (2025). Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment. Food Research International. 208. 116246–116246. 1 indexed citations
5.
6.
Chang, Yajie, et al.. (2024). Metabolomic analysis reveals the biological characteristics of giant congenital melanocytic nevi. Journal of Pharmaceutical and Biomedical Analysis. 242. 116060–116060. 1 indexed citations
7.
Song, Ge, Tao Dai, Yajie Chang, et al.. (2024). A BEST classification system of large to giant congenital melanocytic nevi based on expert consensus and distribution characteristics. Journal of the European Academy of Dermatology and Venereology. 39(1). 171–180. 3 indexed citations
8.
Wu, Jinxia, Jing Chen, Yajie Chang, et al.. (2023). Discover boy specific-biomarkers and reveal gender-related metabolic differences in central precocious puberty. The Journal of Steroid Biochemistry and Molecular Biology. 231. 106305–106305. 4 indexed citations
9.
10.
Chang, Yajie, Jing Chen, Rong Huang, et al.. (2023). Identification of potential biomarkers in malnutrition children with severity by 1H-NMR-based metabolomics: a preliminary study in the Chinese population. European Journal of Nutrition. 62(8). 3193–3205. 1 indexed citations
11.
Feng, X Y, Yanrong Zhao, Zhenning Sun, et al.. (2022). Discriminant Analysis of the Nutritional Components between Organic Eggs and Conventional Eggs: A 1H NMR-Based Metabolomics Study. Molecules. 27(9). 3008–3008. 12 indexed citations
12.
Zhang, Lirong, et al.. (2022). Cross-comparative metabolomics reveal sex-age specific metabolic fingerprints and metabolic interactions in acute myocardial infarction. Free Radical Biology and Medicine. 183. 25–34. 7 indexed citations
13.
Lu, Jie, et al.. (2022). Effect of different cooking methods on nutritional intake and different storage treatments on nutritional losses of abalone. Food Chemistry. 377. 132047–132047. 10 indexed citations
14.
Wang, Xuexi, et al.. (2021). Lipidomic Profiling Reveals the Reducing Lipid Accumulation Effect of Dietary Taurine in Groupers (Epinephelus coioides). Frontiers in Molecular Biosciences. 8. 814318–814318. 7 indexed citations
15.
Shen, Guiping, Tao Dai, Jianghua Feng, et al.. (2021). Effect of dietary taurine supplementation on metabolome variation in plasma of Nile tilapia. animal. 15(3). 100167–100167. 10 indexed citations
16.
Liu, Yun, et al.. (2019). Compositional identification and authentication of Chinese honeys by 1H NMR combined with multivariate analysis. Food Research International. 130. 108936–108936. 48 indexed citations
17.
Chen, Zhong, Lingqiang Zhang, Zhiliang Wei, et al.. (2019). Deciphering the metabolic perturbation in hepatic alveolar echinococcosis: a 1H NMR-based metabolomics study. Parasites & Vectors. 12(1). 300–300. 22 indexed citations
18.
Liu, Xia, Jingjing Xu, Qiong Liu, et al.. (2019). Metabolomics analysis of herb-partitioned moxibustion treatment on rats with diarrhea-predominant irritable bowel syndrome. Chinese Medicine. 14(1). 18–18. 23 indexed citations
19.
Shen, Guiping, et al.. (2016). 1H NMR-based metabolomics study on the physiological variations during the rat pregnancy process. Molecular and Cellular Endocrinology. 423. 40–50. 8 indexed citations
20.
Shen, Guiping, Congbo Cai, Zhong Chen, & Shuhui Cai. (2013). Intermolecular double-quantum coherence imaging without coherence selection gradients and its application in in vivo MRI. Magnetic Resonance Imaging. 31(4). 515–523. 1 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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