Peiyuan Yin

7.4k total citations · 1 hit paper
98 papers, 6.0k citations indexed

About

Peiyuan Yin is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Peiyuan Yin has authored 98 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 22 papers in Spectroscopy and 19 papers in Cancer Research. Recurrent topics in Peiyuan Yin's work include Metabolomics and Mass Spectrometry Studies (66 papers), Liver Disease Diagnosis and Treatment (17 papers) and Analytical Chemistry and Chromatography (14 papers). Peiyuan Yin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (66 papers), Liver Disease Diagnosis and Treatment (17 papers) and Analytical Chemistry and Chromatography (14 papers). Peiyuan Yin collaborates with scholars based in China, Germany and United States. Peiyuan Yin's co-authors include Guowang Xu, Xin Lu, Xinjie Zhao, Lina Zhou, Rainer Lehmann, Hongwei Kong, Qiang Huang, Yexiong Tan, Hongyang Wang and Jing Chen and has published in prestigious journals such as Analytical Chemistry, Hepatology and Cancer Research.

In The Last Decade

Peiyuan Yin

97 papers receiving 5.9k citations

Hit Papers

Altered Lipid Metabolism in Recovered SARS Patients Twelv... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyuan Yin China 42 4.1k 1.1k 1.1k 970 589 98 6.0k
Yunping Qiu China 47 5.0k 1.2× 1.1k 1.0× 639 0.6× 858 0.9× 1.2k 2.1× 137 7.3k
Xinjie Zhao China 43 4.0k 1.0× 669 0.6× 1.1k 1.0× 695 0.7× 1.0k 1.7× 156 5.8k
Mingming Su China 42 3.9k 0.9× 603 0.6× 596 0.6× 967 1.0× 1.0k 1.7× 126 6.3k
Tianlu Chen China 37 3.2k 0.8× 616 0.6× 416 0.4× 842 0.9× 966 1.6× 102 5.2k
Ben van Ommen Netherlands 53 5.0k 1.2× 772 0.7× 682 0.6× 719 0.7× 1.8k 3.0× 192 9.2k
Leonardo Tenori Italy 37 3.1k 0.8× 456 0.4× 596 0.6× 405 0.4× 778 1.3× 137 4.7k
Martin Giera Netherlands 43 3.9k 1.0× 527 0.5× 868 0.8× 626 0.6× 1.2k 2.1× 237 7.2k
Shin Nishiumi Japan 41 3.1k 0.7× 1.1k 1.0× 534 0.5× 671 0.7× 707 1.2× 144 5.6k
Eric Chun Yong Chan Singapore 41 3.1k 0.7× 493 0.5× 875 0.8× 297 0.3× 467 0.8× 186 5.5k
Aihua Zhao China 48 4.3k 1.0× 656 0.6× 413 0.4× 1.1k 1.1× 1.5k 2.5× 132 6.9k

Countries citing papers authored by Peiyuan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Peiyuan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyuan Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyuan Yin. A scholar is included among the top collaborators of Peiyuan Yin 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 Peiyuan Yin. Peiyuan Yin 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.
Ma, Shurong, et al.. (2025). Plasma metabolomics dataset of race-walking athletes illuminating systemic metabolic reaction of exercise. Scientific Data. 12(1). 448–448. 3 indexed citations
2.
Ma, Shurong, Biao Zhang, Jialin Qu, et al.. (2024). Integrated pharmacokinetic properties and tissue distribution of multiple active constituents in Qing-Yi Recipe: A comparison between granules and decoction. Phytomedicine. 129. 155645–155645. 10 indexed citations
3.
Ma, Zhixin, Yifeng Liu, Yanni Sun, et al.. (2023). Metabolic changes in bile acids with pregnancy progression and their correlation with perinatal complications in intrahepatic cholestasis of pregnant patients. Scientific Reports. 13(1). 1608–1608. 15 indexed citations
5.
Ren, Chao, Lina Guan, Yongqiang Ji, et al.. (2019). Effects of Ginkgo biloba extract EGb761 on neural differentiation of stem cells offer new hope for neurological disease treatment. Neural Regeneration Research. 14(7). 1152–1152. 18 indexed citations
6.
Zhang, Lei, Yang Ouyang, Huating Li, et al.. (2019). Metabolic phenotypes and the gut microbiota in response to dietary resistant starch type 2 in normal-weight subjects: a randomized crossover trial. Scientific Reports. 9(1). 4736–4736. 107 indexed citations
7.
Song, Huiyi, Jianbin Zhang, Jialin Qu, et al.. (2019). Lactobacillus rhamnosus GG microcapsules inhibit Escherichia coli biofilm formation in coculture. Biotechnology Letters. 41(8-9). 1007–1014. 35 indexed citations
8.
Wang, Lichao, Zhongda Zeng, Xinjie Zhao, et al.. (2018). Ion-Pair Selection Method for Pseudotargeted Metabolomics Based on SWATH MS Acquisition and Its Application in Differential Metabolite Discovery of Type 2 Diabetes. Analytical Chemistry. 90(19). 11401–11408. 31 indexed citations
9.
Tang, Ling, Jun Zeng, Pengyu Geng, et al.. (2017). Global Metabolic Profiling Identifies a Pivotal Role of Proline and Hydroxyproline Metabolism in Supporting Hypoxic Response in Hepatocellular Carcinoma. Clinical Cancer Research. 24(2). 474–485. 101 indexed citations
10.
Luo, Ping, Peiyuan Yin, Weijian Zhang, et al.. (2016). Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography–mass spectrometry. Journal of Chromatography A. 1437. 127–136. 48 indexed citations
11.
Zeng, Jun, Xin Huang, Lina Zhou, et al.. (2015). Metabolomics Identifies Biomarker Pattern for Early Diagnosis of Hepatocellular Carcinoma: from Diethylnitrosamine Treated Rats to Patients. Scientific Reports. 5(1). 16101–16101. 41 indexed citations
12.
Luo, Ping, et al.. (2014). A serum metabolomics study of gastric cancer based on pseudotargeted liquid chromatography-mass spectrometry approach. Chinese Journal of Chromatography. 32(2). 126–126. 9 indexed citations
13.
Zhou, Lina, Yuan Liao, Peiyuan Yin, et al.. (2014). Metabolic profiling study of early and late recurrence of hepatocellular carcinoma based on liquid chromatography-mass spectrometry. Journal of Chromatography B. 966. 163–170. 27 indexed citations
14.
Huang, Qiang, Yexiong Tan, Peiyuan Yin, et al.. (2013). Metabolic Characterization of Hepatocellular Carcinoma Using Nontargeted Tissue Metabolomics. Cancer Research. 73(16). 4992–5002. 342 indexed citations
15.
Zhou, Lina, Quancai Wang, Peiyuan Yin, et al.. (2012). Serum metabolomics reveals the deregulation of fatty acids metabolism in hepatocellular carcinoma and chronic liver diseases. Analytical and Bioanalytical Chemistry. 403(1). 203–213. 131 indexed citations
16.
Yao, Zhenzhen, Peiyuan Yin, Zhijun Peng, et al.. (2011). Serum metabolic profiling and features of papillary thyroid carcinoma and nodular goiter. Molecular BioSystems. 7(9). 2608–2614. 40 indexed citations
18.
Chen, Jing, Wenzhao Wang, Shen Lv, et al.. (2009). Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations. Analytica Chimica Acta. 650(1). 3–9. 177 indexed citations
19.
Yin, Peiyuan, Dafang Wan, Chunxia Zhao, et al.. (2009). A metabonomic study of hepatitis B-induced liver cirrhosis and hepatocellular carcinoma by using RP-LC and HILIC coupled with mass spectrometry. Molecular BioSystems. 5(8). 868–876. 189 indexed citations
20.
Gao, Peng, Lu Chen, Fengxia Zhang, et al.. (2008). Integrated GC–MS and LC–MS plasma metabonomics analysis of ankylosing spondylitis. The Analyst. 133(9). 1214–1214. 74 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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