Xiaoling Zang

569 total citations
23 papers, 457 citations indexed

About

Xiaoling Zang is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Xiaoling Zang has authored 23 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Spectroscopy. Recurrent topics in Xiaoling Zang's work include Metabolomics and Mass Spectrometry Studies (10 papers), Advanced Chemical Sensor Technologies (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Xiaoling Zang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Advanced Chemical Sensor Technologies (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Xiaoling Zang collaborates with scholars based in China, United States and Argentina. Xiaoling Zang's co-authors include Facundo M. Fernández, Marı́a Eugenia Monge, Jun‐Ying Miao, Jun Zhang, Xiaoling Cui, Yue Wu, Tiegang Han, Haopeng Xiao, Moustafa R. K. Ali and Yan Tang and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Xiaoling Zang

21 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Zang China 11 247 130 76 57 56 23 457
Nasim Bararpour Switzerland 12 179 0.7× 44 0.3× 38 0.5× 46 0.8× 14 0.3× 20 418
Ignacio G. Camarillo United States 18 377 1.5× 83 0.6× 25 0.3× 121 2.1× 34 0.6× 54 873
Chenghong Sun China 16 352 1.4× 57 0.4× 26 0.3× 42 0.7× 37 0.7× 57 704
Wasundara Fernando Canada 15 382 1.5× 23 0.2× 13 0.2× 30 0.5× 47 0.8× 31 682
Edyta Maślak Poland 17 189 0.8× 48 0.4× 36 0.5× 185 3.2× 24 0.4× 25 667
Yuanjin Zhang China 18 368 1.5× 94 0.7× 14 0.2× 35 0.6× 21 0.4× 56 736
Ayodeji Mathias Adegoke Nigeria 9 213 0.9× 48 0.4× 12 0.2× 23 0.4× 205 3.7× 26 607
Shuo Peng China 13 301 1.2× 34 0.3× 13 0.2× 60 1.1× 26 0.5× 34 561
Toshio Kinoshita Japan 16 190 0.8× 44 0.3× 108 1.4× 22 0.4× 18 0.3× 89 664
Chandrani Fouzder India 12 177 0.7× 22 0.2× 24 0.3× 37 0.6× 27 0.5× 16 387

Countries citing papers authored by Xiaoling Zang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Zang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Zang. A scholar is included among the top collaborators of Xiaoling Zang 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 Xiaoling Zang. Xiaoling Zang 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.
Wang, Guoan, et al.. (2025). Feasibility of detecting non-small cell lung cancer using exhaled breath condensate metabolomics. Journal of Breath Research. 19(2). 26005–26005. 1 indexed citations
2.
Zang, Xiaoling, Qian Liu, Xin Zhang, et al.. (2025). Discovery of PD-L1 Peptide Inhibitors from Ascidian Enzymatic Hydrolysates by Affinity Ultrafiltration Coupled to NanoLC-MS/MS. Marine Drugs. 23(4). 137–137.
3.
4.
Zhang, Jie, et al.. (2024). Alterations of Ceramides, Acylcarnitines, GlyceroLPLs, and Amines in NSCLC Tissues. Journal of Proteome Research. 23(10). 4343–4358.
5.
Zhang, Jiayuan, et al.. (2023). Changes in Lipidomics, Metabolomics, and the Gut Microbiota in CDAA-Induced NAFLD Mice after Polyene Phosphatidylcholine Treatment. International Journal of Molecular Sciences. 24(2). 1502–1502. 15 indexed citations
6.
Zang, Xiaoling, Zhuangzhuang Li, Simin Cheng, et al.. (2023). Study on endogenous inhibitors against PD-L1: cAMP as a potential candidate. International Journal of Biological Macromolecules. 230. 123266–123266. 2 indexed citations
7.
Yang, Huanhuan, et al.. (2023). Efficacy of polysaccharide iron complex in IDA rats: A comparative study with iron protein succinylate and ferrous succinate. Biomedicine & Pharmacotherapy. 170. 115991–115991. 5 indexed citations
8.
Zhang, Xin, et al.. (2023). Ultrahigh‐performance liquid chromatography–high‐resolution mass spectrometry‐based plasma metabolomics study of thymoma and thymic hyperplasia. Rapid Communications in Mass Spectrometry. 37(14). e9529–e9529. 1 indexed citations
9.
10.
Li, Zhuangzhuang, et al.. (2022). Dual Effect of Tryptamine on Prostate Cancer Cell Growth Regulation: A Pilot Study. International Journal of Molecular Sciences. 23(19). 11087–11087. 8 indexed citations
11.
12.
Li, Na, Xiaoling Zang, Zhaoyang Wang, et al.. (2021). H2S probe CPC inhibits autophagy and promotes apoptosis by inhibiting glutathionylation of Keap1 at Cys434. APOPTOSIS. 26(1-2). 111–131. 13 indexed citations
13.
Zhou, Jingbo, Xiaoling Zang, Qing Xu, et al.. (2021). CHASE. 4352–4361. 5 indexed citations
14.
Miao, Jun‐Ying, Xiaoling Zang, Xiaoling Cui, & Jun Zhang. (2020). Autophagy, Hyperlipidemia, and Atherosclerosis. Advances in experimental medicine and biology. 1207. 237–264. 80 indexed citations
15.
Zang, Xiaoling, Marı́a Eugenia Monge, & Facundo M. Fernández. (2019). Mass spectrometry-based non-targeted metabolic profiling for disease detection: Recent developments. TrAC Trends in Analytical Chemistry. 118. 158–169. 33 indexed citations
16.
Zang, Xiaoling, Marı́a Eugenia Monge, David A. Gaul, & Facundo M. Fernández. (2018). Flow Injection–Traveling-Wave Ion Mobility–Mass Spectrometry for Prostate-Cancer Metabolomics. Analytical Chemistry. 90(22). 13767–13774. 21 indexed citations
17.
Zang, Xiaoling, José J. Pérez, Christina M. Jones, et al.. (2017). Comparison of Ambient and Atmospheric Pressure Ion Sources for Cystic Fibrosis Exhaled Breath Condensate Ion Mobility-Mass Spectrometry Metabolomics. Journal of the American Society for Mass Spectrometry. 28(8). 1489–1496. 16 indexed citations
18.
Zang, Xiaoling, Marı́a Eugenia Monge, Nael A. McCarty, Arlene A. Stecenko, & Facundo M. Fernández. (2016). Feasibility of Early Detection of Cystic Fibrosis Acute Pulmonary Exacerbations by Exhaled Breath Condensate Metabolomics: A Pilot Study. Journal of Proteome Research. 16(2). 550–558. 30 indexed citations
19.
Ali, Moustafa R. K., Yue Wu, Tiegang Han, et al.. (2016). Simultaneous Time-Dependent Surface-Enhanced Raman Spectroscopy, Metabolomics, and Proteomics Reveal Cancer Cell Death Mechanisms Associated with Gold Nanorod Photothermal Therapy. Journal of the American Chemical Society. 138(47). 15434–15442. 123 indexed citations
20.
Zang, Xiaoling, Christina M. Jones, Marı́a Eugenia Monge, et al.. (2014). Feasibility of Detecting Prostate Cancer by Ultraperformance Liquid Chromatography–Mass Spectrometry Serum Metabolomics. Journal of Proteome Research. 13(7). 3444–3454. 59 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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