Yan Shi

1.1k total citations
76 papers, 796 citations indexed

About

Yan Shi is a scholar working on Toxicology, Molecular Biology and Spectroscopy. According to data from OpenAlex, Yan Shi has authored 76 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Toxicology, 26 papers in Molecular Biology and 19 papers in Spectroscopy. Recurrent topics in Yan Shi's work include Forensic Toxicology and Drug Analysis (40 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Analytical Chemistry and Chromatography (15 papers). Yan Shi is often cited by papers focused on Forensic Toxicology and Drug Analysis (40 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Analytical Chemistry and Chromatography (15 papers). Yan Shi collaborates with scholars based in China, Australia and Japan. Yan Shi's co-authors include Ping Xiang, Min Shen, Baohua Shen, Feng Wei, Shuang‐Cheng Ma, Zhiguo Yu, Ting Wang, Xian‐Long Cheng, Xiaopei Cui and Hui Yan and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yan Shi

69 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Shi China 18 334 267 175 113 84 76 796
Marie Mardal Denmark 16 384 1.1× 275 1.0× 224 1.3× 134 1.2× 72 0.9× 31 668
Jin Young Kim South Korea 16 342 1.0× 134 0.5× 168 1.0× 81 0.7× 109 1.3× 53 681
Susanna Vogliardi Italy 16 357 1.1× 160 0.6× 198 1.1× 70 0.6× 66 0.8× 31 634
Michael Poetzsch Switzerland 13 269 0.8× 221 0.8× 217 1.2× 82 0.7× 44 0.5× 20 592
Mário Dias Portugal 16 390 1.2× 127 0.5× 154 0.9× 101 0.9× 94 1.1× 30 644
Fabien Bévalot France 16 308 0.9× 174 0.7× 80 0.5× 114 1.0× 56 0.7× 48 783
Moon Kyo In South Korea 18 411 1.2× 141 0.5× 197 1.1× 99 0.9× 120 1.4× 47 752
Claudia Vignali Italy 18 529 1.6× 132 0.5× 160 0.9× 149 1.3× 83 1.0× 49 783
Sieglinde Herre Germany 11 361 1.1× 229 0.9× 200 1.1× 67 0.6× 72 0.9× 22 707
Sanggil Choe South Korea 15 235 0.7× 202 0.8× 105 0.6× 66 0.6× 66 0.8× 54 633

Countries citing papers authored by Yan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shi. A scholar is included among the top collaborators of Yan Shi 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 Yan Shi. Yan Shi 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.
Liu, Jinting, et al.. (2025). Detection and application of 40 piperazine compounds in hair suitable for rapid separation of isomers. Journal of Chromatography B. 1253. 124473–124473.
2.
Qian, Yile, Junyi Lin, Tianyi Zhang, et al.. (2025). AdipoRon ameliorates chronic ethanol induced cardiac necroptosis by reducing ceramide mediated mtROS. Free Radical Biology and Medicine. 229. 237–250. 4 indexed citations
3.
Li, Zehong, et al.. (2024). Quantitative determination of nitrous oxide in human blood by HS-GC–MS: forensic application of two fatal poisoning cases. Forensic Science International. 360. 112067–112067.
4.
Li, Zehong, Yan Shi, Ziyi Li, et al.. (2024). Separation and identification of the synthetic cathinone isomers dipentylone and N-ethylpentylone using chromatographic and mass spectral characteristics. Forensic Chemistry. 37. 100551–100551. 4 indexed citations
5.
Shi, Yan, Yu‐Chiao Yang, Yanyan Li, et al.. (2024). Inhalation of H2/O2 (66.7 %/33.3 %) mitigates depression-like behaviors in diabetes mellitus complicated with depression mice via suppressing inflammation and preventing hippocampal damage. Biomedicine & Pharmacotherapy. 180. 117559–117559. 1 indexed citations
6.
Xiang, Ping, et al.. (2024). Detection of “smoke powder” etomidate and its metabolite etomidate acid in blood and urine by UHPLC–MS-MS: application in authentic cases. Journal of Analytical Toxicology. 48(9). 701–709. 2 indexed citations
7.
Liu, Jinting, et al.. (2024). How to trace etomidate in illegal E-cigarettes from authentic human hair: identification, quantification and multiple-factor analysis. Forensic Toxicology. 43(1). 74–85. 5 indexed citations
8.
Xiang, Ping, et al.. (2023). A UPLC-MS/MS methodological approach for the analysis of 75 phenethylamines and their derivatives in hair. Journal of Pharmaceutical and Biomedical Analysis. 229. 115367–115367. 7 indexed citations
9.
Dai, Xiaohui, Bing Xie, Yan Shi, et al.. (2023). A Metabolomics-Based Study on the Discriminative Classification Models and Toxicological Mechanism of Estazolam Fatal Intoxication. Metabolites. 13(4). 567–567. 5 indexed citations
10.
11.
Jiang, Xinyi, Jian Lin, Xiaoyao Wang, et al.. (2023). Intrinsic RIG-I restrains STAT5 activation to modulate antitumor activity of CD8+ T cells. Journal of Clinical Investigation. 133(9). 11 indexed citations
12.
Yu, Huan, Ziwei Wang, Qi Yang, et al.. (2021). Multi-Locus Identification of Psilocybe Cubensis by High-Resolution Melting (HRM). Forensic Sciences Research. 7(3). 490–497. 2 indexed citations
13.
14.
Qin, Nan, Min Shen, Ping Xiang, et al.. (2020). Determination of 37 fentanyl analogues and novel synthetic opioids in hair by UHPLC-MS/MS and its application to authentic cases. Scientific Reports. 10(1). 11569–11569. 23 indexed citations
15.
Wen, Di, Yan Shi, Xiaoguang Zhang, et al.. (2019). Determination of barbiturates in hair samples by using a validated UHPLC-HRMS method: application in investigation of drug-facilitated sexual assault. Forensic Sciences Research. 7(1). 78–87. 12 indexed citations
16.
Shi, Yan, Xiaopei Cui, Min Shen, & Ping Xiang. (2016). Quantitative analysis of the endogenous GHB level in the hair of the Chinese population using GC/MS/MS. Journal of Forensic and Legal Medicine. 39. 10–15. 25 indexed citations
17.
Shi, Yan, et al.. (2015). Key index system study on the nursing quality for the first-class general hospital in Shanghai. Zhonghua xiandai huli zazhi. 21(2). 125–128. 1 indexed citations
18.
Shen, Min, et al.. (2014). Mass imaging of ketamine in a single scalp hair by MALDI-FTMS. Analytical and Bioanalytical Chemistry. 406(19). 4611–4616. 45 indexed citations
19.
Shen, Min, Ping Xiang, Fuxiang Zhou, Baohua Shen, & Yan Shi. (2012). Hair as a Specimen to Document Tetramethylene Disulfotetramine Exposure*. Journal of Forensic Sciences. 57(3). 669–673. 4 indexed citations
20.
Cheng, Xian‐Long, Feng Wei, Xinyue Xiao, et al.. (2011). Identification of five gelatins by ultra performance liquid chromatography/time-of-flight mass spectrometry (UPLC/Q-TOF-MS) using principal component analysis. Journal of Pharmaceutical and Biomedical Analysis. 62. 191–195. 78 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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