Zeming Wu

950 total citations
26 papers, 754 citations indexed

About

Zeming Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zeming Wu has authored 26 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Zeming Wu's work include Metabolomics and Mass Spectrometry Studies (11 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Analytical Chemistry and Chromatography (3 papers). Zeming Wu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Analytical Chemistry and Chromatography (3 papers). Zeming Wu collaborates with scholars based in China, United States and Germany. Zeming Wu's co-authors include Guowang Xu, Chunxia Zhao, Peiyuan Yin, Xin Lu, Shili Chen, Yuwei Chang, Pan Chen, Lina Zhou, Xiaohui Lin and Quancai Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Zeming Wu

26 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeming Wu China 15 439 143 112 80 78 26 754
Liwei Liu China 16 413 0.9× 82 0.6× 97 0.9× 32 0.4× 81 1.0× 58 886
Lei Xia China 17 425 1.0× 125 0.9× 68 0.6× 18 0.2× 45 0.6× 65 988
Amy Wilson United Kingdom 11 806 1.8× 118 0.8× 65 0.6× 197 2.5× 62 0.8× 15 1.2k
Laetitia Shintu France 17 530 1.2× 161 1.1× 43 0.4× 85 1.1× 35 0.4× 29 840
Yuping Chen United States 13 492 1.1× 71 0.5× 152 1.4× 108 1.4× 40 0.5× 32 884
Sara Samino Spain 16 819 1.9× 148 1.0× 130 1.2× 158 2.0× 39 0.5× 37 1.2k
Alida Kindt Netherlands 15 441 1.0× 132 0.9× 100 0.9× 47 0.6× 29 0.4× 44 802
Lili Niu China 17 403 0.9× 86 0.6× 40 0.4× 72 0.9× 28 0.4× 32 619
Zaijun Ma China 6 525 1.2× 51 0.4× 51 0.5× 45 0.6× 52 0.7× 7 670
Bartolo Favaloro Italy 12 595 1.4× 72 0.5× 67 0.6× 22 0.3× 58 0.7× 21 906

Countries citing papers authored by Zeming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zeming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zeming Wu. A scholar is included among the top collaborators of Zeming Wu 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 Zeming Wu. Zeming Wu 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.
Gu, Jianhua, Shuanghua Xie, Zeming Wu, et al.. (2023). Identification of plasma proteomic signatures associated with the progression of cardia gastric cancer and precancerous lesions. SHILAP Revista de lepidopterología. 3(4). 286–294. 5 indexed citations
2.
Liu, Chang, Xinrong Wang, Tingting Huang, et al.. (2023). Association between aberrant amino acid metabolism and nonchromosomal modifications fetal structural anomalies: A cohort study. Frontiers in Endocrinology. 14. 1072461–1072461. 2 indexed citations
3.
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5.
Liu, Chang, Huiying Liu, Zeming Wu, et al.. (2022). Tissue metabolomics identified new biomarkers for the diagnosis and prognosis prediction of pancreatic cancer. Frontiers in Oncology. 12. 991051–991051. 8 indexed citations
6.
Chen, Pan, Zeming Wu, Biao Zhang, et al.. (2022). Metabolomics study identified bile acids as potential biomarkers for gastric cancer: A case control study. Frontiers in Endocrinology. 13. 1039786–1039786. 18 indexed citations
7.
Sun, Yujiao, Pan Chen, Zeming Wu, et al.. (2021). HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease. Frontiers in Pharmacology. 12. 754185–754185. 11 indexed citations
8.
Chen, Pan, Zeming Wu, Yujiao Sun, et al.. (2021). An Integrated Metabolomic Study of Osteoporosis: Discovery and Quantification of Hyocholic Acids as Candidate Markers. Frontiers in Pharmacology. 12. 725341–725341. 26 indexed citations
9.
Ye, Guozhu, Bicheng Yang, Han Gao, et al.. (2020). Metabolomics Insights into Oleate-Induced Disorders of Phospholipid Metabolism in Macrophages. Journal of Nutrition. 151(3). 503–512. 3 indexed citations
10.
Ye, Guozhu, Dongxiao Ding, Han Gao, et al.. (2019). Comprehensive metabolic responses of HepG2 cells to fine particulate matter exposure: Insights from an untargeted metabolomics. The Science of The Total Environment. 691. 874–884. 25 indexed citations
11.
Wang, Yongtao, Yixin Chen, Lihuan Guan, et al.. (2018). Carnitine palmitoyltransferase 1C regulates cancer cell senescence through mitochondria-associated metabolic reprograming. Cell Death and Differentiation. 25(4). 735–748. 72 indexed citations
12.
Yu, Tao, Yongtao Wang, Huizhen Zhang, et al.. (2016). Metabolomics reveals mycoplasma contamination interferes with the metabolism of PANC-1 cells. Analytical and Bioanalytical Chemistry. 408(16). 4267–4273. 15 indexed citations
13.
Wu, Zeming, Xianhui Wang, Pengcheng Yang, et al.. (2012). Metabolomic analysis reveals that carnitines are key regulatory metabolites in phase transition of the locusts. Proceedings of the National Academy of Sciences. 109(9). 3259–3263. 80 indexed citations
14.
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
15.
Chang, Yuwei, Chunxia Zhao, Zhen Zhu, et al.. (2012). Metabolic profiling based on LC/MS to evaluate unintended effects of transgenic rice with cry1Ac and sck genes. Plant Molecular Biology. 78(4-5). 477–487. 61 indexed citations
16.
Zhao, Chunxia, Zeming Wu, Gang Xue, et al.. (2011). Ultra-high capacity liquid chromatography chip/quadrupole time-of-flight mass spectrometry for pharmaceutical analysis. Journal of Chromatography A. 1218(23). 3669–3674. 30 indexed citations
17.
Dai, Weidong, Cong Wei, Hongwei Kong, et al.. (2011). Effect of the traditional Chinese medicine tongxinluo on endothelial dysfunction rats studied by using urinary metabonomics based on liquid chromatography–mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 56(1). 86–92. 51 indexed citations
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Li, Qinghua, Chunxia Zhao, Yong Li, et al.. (2010). Liquid chromatography/mass spectrometry‐based metabolic profiling to elucidate chemical differences of tobacco leaves between Zimbabwe and China. Journal of Separation Science. 34(2). 119–126. 9 indexed citations
20.
Wu, Zeming, et al.. (1991). Urban Forest Pest Management. Arboriculture & Urban Forestry. 17(6). 150–158. 19 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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