Zeper Abliz

6.4k total citations
172 papers, 5.2k citations indexed

About

Zeper Abliz is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Zeper Abliz has authored 172 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 90 papers in Spectroscopy and 23 papers in Organic Chemistry. Recurrent topics in Zeper Abliz's work include Metabolomics and Mass Spectrometry Studies (87 papers), Mass Spectrometry Techniques and Applications (63 papers) and Analytical Chemistry and Chromatography (45 papers). Zeper Abliz is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (87 papers), Mass Spectrometry Techniques and Applications (63 papers) and Analytical Chemistry and Chromatography (45 papers). Zeper Abliz collaborates with scholars based in China, Japan and United States. Zeper Abliz's co-authors include Jiuming He, Ruiping Zhang, Yanhua Chen, Feihe Huang, Zhigang Luo, Yongmei Song, Jing Xu, Yingjie Ma, Tiegang Li and Xiaowei Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Zeper Abliz

168 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeper Abliz China 41 2.7k 2.2k 1.1k 784 555 172 5.2k
Jiuming He China 37 2.4k 0.9× 1.8k 0.8× 1.1k 1.0× 587 0.7× 498 0.9× 135 4.7k
Sheng Yin China 42 3.8k 1.4× 942 0.4× 764 0.7× 177 0.2× 325 0.6× 233 6.2k
Anisur Rahman Khuda‐Bukhsh India 44 1.8k 0.7× 847 0.4× 380 0.3× 852 1.1× 255 0.5× 185 5.4k
Feng Yang China 43 3.1k 1.2× 1.0k 0.5× 461 0.4× 1.1k 1.4× 184 0.3× 286 6.8k
Dan Yang Hong Kong 58 3.2k 1.2× 2.4k 1.1× 4.7k 4.2× 1.6k 2.1× 349 0.6× 271 11.0k
Ioannis P. Gerothanassis Greece 40 1.9k 0.7× 1.4k 0.6× 1.0k 0.9× 496 0.6× 95 0.2× 186 5.4k
Carlo Bertucci Italy 36 2.5k 0.9× 1.9k 0.9× 933 0.8× 300 0.4× 150 0.3× 188 5.7k
Wei Guo China 54 2.2k 0.8× 4.4k 2.0× 857 0.8× 3.2k 4.1× 142 0.3× 163 8.1k
Yufen Zhao China 48 3.6k 1.3× 3.1k 1.5× 3.8k 3.4× 1.6k 2.0× 236 0.4× 579 9.7k
David C. Lankin United States 36 2.2k 0.8× 842 0.4× 1.1k 1.0× 271 0.3× 117 0.2× 129 5.1k

Countries citing papers authored by Zeper Abliz

Since Specialization
Citations

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

Fields of papers citing papers by Zeper Abliz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeper Abliz

This figure shows the co-authorship network connecting the top 25 collaborators of Zeper Abliz. A scholar is included among the top collaborators of Zeper Abliz 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 Zeper Abliz. Zeper Abliz 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.
Ren, Yang, Xingsen Gao, Mengyu Li, et al.. (2025). Spatial metabolic modulation in vascular dementia by Erigeron breviscapus injection using ambient mass spectrometry imaging. Phytomedicine. 138. 156412–156412. 2 indexed citations
2.
Zhu, Ying, Ting Li, Shiyu Zhu, et al.. (2025). Spatial isotope deep tracing deciphers inter-tissue metabolic crosstalk. Nature Communications. 16(1). 7934–7934.
3.
Chen, Yanhua, Jun Zhou, Zhaoying Wang, et al.. (2024). Plasma metabolomics combined with mass spectrometry imaging reveals crosstalk between tumor and plasma in gastric cancer genesis and metastasis. Chinese Chemical Letters. 36(1). 110351–110351. 1 indexed citations
4.
5.
Wang, Zixuan, et al.. (2024). Mass Spectrometry Imaging Reveals Spatial Metabolic Alterations and Salidroside’s Effects in Diabetic Encephalopathy. Metabolites. 14(12). 670–670. 1 indexed citations
6.
7.
Yao, Lan, et al.. (2023). Exploring the effect of the Uyghur medicine Munziq Balgam on a collagen-induced arthritis rat model by UPLC-MS/MS-based metabolomics approach. Journal of Ethnopharmacology. 310. 116437–116437. 5 indexed citations
8.
Song, Xiaowei, Qingce Zang, Jin Zhang, et al.. (2023). Metabolic Perturbation Score-Based Mass Spectrometry Imaging Spatially Resolves a Functional Metabolic Response. Analytical Chemistry. 95(17). 6775–6784. 11 indexed citations
9.
Chen, Yanhua, et al.. (2022). Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics. Analytical Chemistry. 94(21). 7500–7509. 10 indexed citations
10.
Zhu, Ying, Qingce Zang, Zhigang Luo, et al.. (2022). An Organ-Specific Metabolite Annotation Approach for Ambient Mass Spectrometry Imaging Reveals Spatial Metabolic Alterations of a Whole Mouse Body. Analytical Chemistry. 94(20). 7286–7294. 29 indexed citations
11.
Huang, Luojiao, Xinxin Mao, Chenglong Sun, et al.. (2022). Molecular Pathological Diagnosis of Thyroid Tumors Using Spatially Resolved Metabolomics. Molecules. 27(4). 1390–1390. 20 indexed citations
12.
Liu, Yanhua, Xin Zhang, Wanfang Li, et al.. (2022). Mapping of Fatty Aldehydes in the Diabetic Rat Brain Using On-Tissue Chemical Derivatization and Air-Flow-Assisted Desorption Electrospray Ionization-Mass Spectrometry Imaging. Journal of Proteome Research. 22(1). 36–46. 10 indexed citations
13.
Zang, Qingce, Lingzhi Wang, Zhigang Luo, et al.. (2021). Enhanced On-Tissue Chemical Derivatization with Hydrogel Assistance for Mass Spectrometry Imaging. Analytical Chemistry. 93(46). 15373–15380. 25 indexed citations
14.
Wang, Zixuan, Xin Li, & Zeper Abliz. (2021). Chemical Derivatization for Mass Spectrometric Analysis of Metabolite Isomers. Huaxue jinzhan. 33(3). 406. 3 indexed citations
15.
Liŭ, Dan, Zhuoling An, Pengfei Li, et al.. (2020). A targeted neurotransmitter quantification and nontargeted metabolic profiling method for pharmacometabolomics analysis of olanzapine by using UPLC-HRMS. RSC Advances. 10(31). 18305–18314. 8 indexed citations
16.
Huang, Luojiao, Xinxin Mao, Chenglong Sun, et al.. (2019). A graphical data processing pipeline for mass spectrometry imaging-based spatially resolved metabolomics on tumor heterogeneity. Analytica Chimica Acta. 1077. 183–190. 27 indexed citations
17.
Zhang, Xiaochao, Qingce Zang, Hansen Zhao, et al.. (2018). Combination of Droplet Extraction and Pico-ESI-MS Allows the Identification of Metabolites from Single Cancer Cells. Analytical Chemistry. 90(16). 9897–9903. 82 indexed citations
18.
Xu, Jing, Yanhua Chen, Ruiping Zhang, et al.. (2016). Global metabolomics reveals potential urinary biomarkers of esophageal squamous cell carcinoma for diagnosis and staging. Scientific Reports. 6(1). 35010–35010. 33 indexed citations
19.
Abliz, Zeper. (2010). HPLC-MS/MS determination of the content of 5-hydroxymethyl furfural in Chinese traditional medicine injection. Yaowu fenxi zazhi. 2 indexed citations
20.
Abliz, Zeper. (2005). Progress in the Study of Non-covalent Intermolecular Interactions by Mass Spectrometry. Journal of Instrumental Analysis. 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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