Yuanting Zheng

5.6k total citations
60 papers, 1.9k citations indexed

About

Yuanting Zheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yuanting Zheng has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Yuanting Zheng's work include Ginseng Biological Effects and Applications (8 papers), Cancer-related molecular mechanisms research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Yuanting Zheng is often cited by papers focused on Ginseng Biological Effects and Applications (8 papers), Cancer-related molecular mechanisms research (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Yuanting Zheng collaborates with scholars based in China, United States and Australia. Yuanting Zheng's co-authors include Guangji Wang, Jianguo Sun, Leming Shi, Tao Qing, Bei Yan, Leming Shi, Ying Yu, Haiping Hao, Weimin Cai and Fang Zhou and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Analytical Biochemistry.

In The Last Decade

Yuanting Zheng

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanting Zheng China 25 1.2k 276 247 183 158 60 1.9k
Ming‐Ching Kao Taiwan 26 1.1k 0.9× 243 0.9× 220 0.9× 276 1.5× 125 0.8× 72 2.1k
Shabana Usman Sımjee Pakistan 22 808 0.7× 268 1.0× 161 0.7× 217 1.2× 139 0.9× 94 2.2k
Iris Bahir Israel 7 1.3k 1.2× 318 1.2× 231 0.9× 99 0.5× 146 0.9× 9 2.2k
Jie Su China 26 1.1k 1.0× 246 0.9× 134 0.5× 292 1.6× 122 0.8× 133 2.1k
Guang Xu China 28 1.4k 1.2× 295 1.1× 179 0.7× 321 1.8× 127 0.8× 54 2.5k
Chul‐Ho Jeong South Korea 26 1.2k 1.1× 502 1.8× 191 0.8× 323 1.8× 158 1.0× 69 2.4k
Do Kyung Kim South Korea 31 1.6k 1.4× 413 1.5× 182 0.7× 377 2.1× 127 0.8× 136 2.9k
Katsuhiko Yoshizawa Japan 23 1.0k 0.9× 244 0.9× 131 0.5× 285 1.6× 67 0.4× 110 2.2k
Juan Ma China 29 1.2k 1.0× 445 1.6× 227 0.9× 308 1.7× 210 1.3× 72 2.2k
Liang Wu China 27 1.1k 1.0× 244 0.9× 109 0.4× 147 0.8× 95 0.6× 109 2.0k

Countries citing papers authored by Yuanting Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Yuanting Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanting Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanting Zheng. A scholar is included among the top collaborators of Yuanting Zheng 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 Yuanting Zheng. Yuanting Zheng 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, Bo, Peng Jia, Stephen J. Bush, et al.. (2025). A Telomere-to-Telomere Diploid Reference Genome and Centromere Structure of the Chinese Quartet. Genomics Proteomics & Bioinformatics.
2.
Chen, Qiaochu, Yaqing Liu, Naixin Zhang, et al.. (2025). Protein-level batch-effect correction enhances robustness in MS-based proteomics. Nature Communications. 16(1). 9735–9735.
3.
Cai, Hao, Zhonghan Sun, Ruyi Zhang, et al.. (2025). Impact of DNA Extraction Methods on Gut Microbiome Profiles: A Comparative Metagenomic Study. PubMed. 5(1). 76–90.
4.
Yu, Xiangrong, Xuejing Li, Qingwang Chen, et al.. (2024). High Intensity Focused Ultrasound‐Driven Nanomotor for Effective Ferroptosis‐Immunotherapy of TNBC. Advanced Science. 11(15). e2305546–e2305546. 39 indexed citations
5.
Liu, Yaqing, Qingwang Chen, Yanxi Han, et al.. (2024). A real-world multi-center RNA-seq benchmarking study using the Quartet and MAQC reference materials. Nature Communications. 15(1). 6167–6167. 8 indexed citations
6.
Yang, Jingcheng, Yaqing Liu, Jun Shang, et al.. (2023). The Quartet Data Portal: integration of community-wide resources for multiomics quality control. Genome biology. 24(1). 245–245. 7 indexed citations
7.
Yu, Ying, Naixin Zhang, Luyao Ren, et al.. (2023). Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method. Genome biology. 24(1). 201–201. 27 indexed citations
8.
Chen, Qingwang, Haiyan Wang, Shanyue Sun, et al.. (2023). Plasma-Free Blood as a Potential Alternative to Whole Blood for Transcriptomic Analysis. PubMed. 4(2). 109–124. 3 indexed citations
9.
Shang, Jun, Yue Zhao, Leming Shi, et al.. (2023). Differences of molecular events driving pathological and radiological progression of lung adenocarcinoma. EBioMedicine. 94. 104728–104728. 8 indexed citations
10.
Chen, Qingwang, Yaqing Liu, Wanwan Hou, et al.. (2022). A comprehensive genomic and transcriptomic dataset of triple-negative breast cancers. Scientific Data. 9(1). 587–587. 14 indexed citations
11.
Xing, Zikang, Bangbao Tao, Tianqi Li, et al.. (2020). Both IDO1 and TDO contribute to the malignancy of gliomas via the Kyn–AhR–AQP4 signaling pathway. Signal Transduction and Targeted Therapy. 5(1). 10–10. 108 indexed citations
12.
Wang, Jipeng, Ying Yu, Hai‐Mo Shen, et al.. (2017). Dynamic transcriptomes identify biogenic amines and insect-like hormonal regulation for mediating reproduction in Schistosoma japonicum. Nature Communications. 8(1). 14693–14693. 60 indexed citations
13.
Zhu, Jinhang, Geng Chen, Suqing Li, et al.. (2016). Identification of Tissue-Specific Protein-Coding and Noncoding Transcripts across 14 Human Tissues Using RNA-seq. Scientific Reports. 6(1). 28400–28400. 44 indexed citations
14.
Li, Tao, Yuanting Zheng, Hong Sun, et al.. (2016). K-Ras mutation detection in liquid biopsy and tumor tissue as prognostic biomarker in patients with pancreatic cancer: a systematic review with meta-analysis. Medical Oncology. 33(7). 61–61. 20 indexed citations
15.
Wen, Zhuo, Geng Chen, Sibo Zhu, et al.. (2016). Expression profiling and functional annotation of noncoding genes across 11 distinct organs in rat development. Scientific Reports. 6(1). 38575–38575. 3 indexed citations
16.
Zheng, Yuanting, Tao Qing, Xue Song, et al.. (2015). Standardization Efforts Enabling Next-Generation Sequencing and Microarray Based Biomarkers for Precision Medicine. Biomarkers in Medicine. 9(11). 1265–1272. 11 indexed citations
17.
18.
Zheng, Yuanting, Jialin Xu, Guo Ma, et al.. (2011). Bioavailability and pharmacokinetics of S-propargyl-L-cysteine, a novel cardioprotective agent, after single and multiple doses in Beagle dogs. Xenobiotica. 42(3). 304–309. 8 indexed citations
19.
Liu, Linsheng, Jiye Aa, Guangji Wang, et al.. (2010). Differences in metabolite profile between blood plasma and serum. Analytical Biochemistry. 406(2). 105–112. 113 indexed citations
20.
Gu, Yi, Guangji Wang, Jianguo Sun, et al.. (2009). Pharmacokinetic characterization of ginsenoside Rh2, an anticancer nutrient from ginseng, in rats and dogs. Food and Chemical Toxicology. 47(9). 2257–2268. 111 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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