Yaoting Sun

3.3k total citations
17 papers, 233 citations indexed

About

Yaoting Sun is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yaoting Sun has authored 17 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yaoting Sun's work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Yaoting Sun is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Yaoting Sun collaborates with scholars based in China, United States and Taiwan. Yaoting Sun's co-authors include Pengyuan Sun, Xiaokui Huo, Changyuan Wang, Huijun Sun, Zhihao Liu, Qiang Meng, Kexin Liu, Jinyong Peng, Tiannan Guo and Xiaodong Ma and has published in prestigious journals such as Nature Communications, Journal of Cellular Physiology and RSC Advances.

In The Last Decade

Yaoting Sun

15 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaoting Sun China	9	142	54	43	34	28	17	233
Chenyue W. Hu United States	10	132 0.9×	23 0.4×	18 0.4×	18 0.5×	13 0.5×	26	267
Jin Niu United States	6	157 1.1×	54 1.0×	13 0.3×	25 0.7×	7 0.3×	12	284
Jianpeng Huang China	8	190 1.3×	34 0.6×	69 1.6×	70 2.1×	12 0.4×	9	279
Suqing Zhang China	9	98 0.7×	57 1.1×	32 0.7×	55 1.6×	8 0.3×	25	347
Tim H. Emory United States	8	101 0.7×	35 0.6×	38 0.9×	78 2.3×	13 0.5×	14	549
Kaiyuan Liu China	12	299 2.1×	50 0.9×	61 1.4×	131 3.9×	14 0.5×	31	431
LiAng Yao China	6	173 1.2×	36 0.7×	44 1.0×	52 1.5×	7 0.3×	12	272
Tzu-Ling Tseng Taiwan	9	185 1.3×	21 0.4×	27 0.6×	45 1.3×	6 0.2×	12	313
Stefano Tiziani United States	8	193 1.4×	42 0.8×	55 1.3×	46 1.4×	18 0.6×	17	310
Tongdan Wang China	12	242 1.7×	64 1.2×	25 0.6×	37 1.1×	6 0.2×	21	392

Countries citing papers authored by Yaoting Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yaoting Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoting Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoting Sun. A scholar is included among the top collaborators of Yaoting Sun 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 Yaoting Sun. Yaoting Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Li, Lu, Likun Zhang, Zhihong Wang, et al.. (2024). Mitochondrial Proteome Defined Molecular Pathological Characteristics of Oncocytic Thyroid Tumors. Endocrine Pathology. 35(4). 442–452.

Wang, Linyan, Zicheng Liu, Yaoting Sun, et al.. (2024). AI-driven eyelid tumor classification in ocular oncology using proteomic data. npj Precision Oncology. 8(1). 289–289.

Wang, Zhihong, Yan Zhou, Lu Li, et al.. (2024). An individualized protein-based prognostic model to stratify pediatric patients with papillary thyroid carcinoma. Nature Communications. 15(1). 3560–3560. 6 indexed citations

Yue, Liang, Ting‐Ting Gong, Liujia Qian, et al.. (2024). Proteomic profiling of ovarian clear cell carcinomas identifies prognostic biomarkers for chemotherapy. PROTEOMICS. 24(6). e2300242–e2300242. 1 indexed citations

He, Yi, He Wang, Mengge Lyu, et al.. (2023). Identifying Patients With Rapid Progression From Hormone-Sensitive to Castration-Resistant Prostate Cancer: A Retrospective Study. Molecular & Cellular Proteomics. 22(9). 100613–100613. 4 indexed citations

Zhou, Yan, Lu Li, He Wang, et al.. (2022). Comparative Evaluation of Proteome Discoverer and FragPipe for the TMT-Based Proteome Quantification. Journal of Proteome Research. 21(12). 3007–3015. 13 indexed citations

Li, Lu, Cuiji Sun, Yaoting Sun, et al.. (2022). Spatially resolved proteomics via tissue expansion. Nature Communications. 13(1). 7242–7242. 36 indexed citations

Huang, Dongdong, Huifang Zhang, Lu Li, et al.. (2022). Proteotypic Differences of Follicular-Patterned Thyroid Neoplasms. Frontiers in Endocrinology. 13. 854611–854611. 8 indexed citations

Zang, Zelin, Shenghui Cheng, Yaoting Sun, et al.. (2022). DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Transactions on Visualization and Computer Graphics. 30(3). 1710–1727. 9 indexed citations

10.

Liu, Wei, Yaoting Sun, Weigang Ge, et al.. (2021). DIA-Based Proteomics Identifies IDH2 as a Targetable Regulator of Acquired Drug Resistance in Chronic Myeloid Leukemia. Molecular & Cellular Proteomics. 21(2). 100187–100187. 5 indexed citations

11.

Yue, Liang, Fangfei Zhang, Rui Sun, et al.. (2020). Generating Proteomic Big Data for Precision Medicine. PROTEOMICS. 20(21-22). e1900358–e1900358. 6 indexed citations

12.

Liu, Wei, Qiang Meng, Yaoting Sun, et al.. (2018). Targeting P-Glycoprotein: Nelfinavir Reverses Adriamycin Resistance in K562/ADR Cells. Cellular Physiology and Biochemistry. 51(4). 1616–1631. 21 indexed citations

13.

Zhu, Yi, Jiang Zhu, Cong Lu, et al.. (2018). Identification of Protein Abundance Changes in Hepatocellular Carcinoma Tissues Using PCT–SWATH. PROTEOMICS - CLINICAL APPLICATIONS. 13(1). e1700179–e1700179. 25 indexed citations

14.

Sun, Yaoting, Wei Liu, Changyuan Wang, et al.. (2018). Combination of dihydromyricetin and ondansetron strengthens antiproliferative efficiency of adriamycin in K562/ADR through downregulation of SORCIN: A new strategy of inhibiting P‐glycoprotein. Journal of Cellular Physiology. 234(4). 3685–3696. 21 indexed citations

15.

Wang, Changyuan, Zhihao Liu, Yaoting Sun, et al.. (2017). A stronger reversal effect of the combination of dasatinib and menadione on P-gp-mediated multidrug resistance in human leukemia K562/Adr cell line. RSC Advances. 7(28). 17227–17235. 3 indexed citations

16.

Sun, Yaoting, Changyuan Wang, Qiang Meng, et al.. (2017). Targeting P‐glycoprotein and SORCIN: Dihydromyricetin strengthens anti‐proliferative efficiency of adriamycin via MAPK/ERK and Ca²⁺‐mediated apoptosis pathways in MCF‐7/ADR and K562/ADR. Journal of Cellular Physiology. 233(4). 3066–3079. 44 indexed citations

17.

Wang, Changyuan, Yaoting Sun, Qiang Meng, et al.. (2016). Targeting P-glycoprotein function, p53 and energy metabolism: Combination of metformin and 2-deoxyglucose reverses the multidrug resistance of MCF-7/Dox cells to doxorubicin. Oncotarget. 8(5). 8622–8632. 31 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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