Zhihong Yao

3.5k total citations
147 papers, 2.8k citations indexed

About

Zhihong Yao is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Zhihong Yao has authored 147 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 37 papers in Pharmacology and 36 papers in Complementary and alternative medicine. Recurrent topics in Zhihong Yao's work include Traditional Chinese Medicine Analysis (34 papers), Natural product bioactivities and synthesis (31 papers) and Chromatography in Natural Products (18 papers). Zhihong Yao is often cited by papers focused on Traditional Chinese Medicine Analysis (34 papers), Natural product bioactivities and synthesis (31 papers) and Chromatography in Natural Products (18 papers). Zhihong Yao collaborates with scholars based in China, United States and Thailand. Zhihong Yao's co-authors include Yi Dai, Xin‐Sheng Yao, Zifei Qin, Xin‐Sheng Yao, Ling Qin, Xinluan Wang, Xiyang Tang, Liangliang He, Zuozhang Yang and Yong‐Tang Zheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Zhihong Yao

139 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhihong Yao China 31 1.4k 506 445 343 269 147 2.8k
Wonhwa Lee South Korea 39 1.7k 1.2× 447 0.9× 334 0.8× 413 1.2× 212 0.8× 155 4.5k
Zhi‐Qi Yin China 31 1.5k 1.1× 350 0.7× 227 0.5× 667 1.9× 169 0.6× 160 3.1k
Yin Lu China 26 1.1k 0.8× 287 0.6× 400 0.9× 232 0.7× 185 0.7× 80 2.2k
Qiao Wang China 29 1.1k 0.8× 209 0.4× 256 0.6× 253 0.7× 147 0.5× 121 2.8k
Muhammad Daniyal China 25 1.1k 0.8× 241 0.5× 248 0.6× 353 1.0× 329 1.2× 69 3.0k
Raquel Carvalho Montenegro Brazil 33 1.3k 0.9× 205 0.4× 169 0.4× 385 1.1× 359 1.3× 155 3.4k
Guoyu Pan China 29 1.1k 0.7× 506 1.0× 177 0.4× 156 0.5× 128 0.5× 87 3.0k
Feng‐Qing Wang China 30 2.3k 1.6× 904 1.8× 282 0.6× 183 0.5× 107 0.4× 154 3.6k
Daxiong Xiang China 36 1.8k 1.3× 287 0.6× 192 0.4× 145 0.4× 656 2.4× 112 3.6k
Chunhua Yang China 38 2.3k 1.6× 427 0.8× 125 0.3× 943 2.7× 535 2.0× 164 4.6k

Countries citing papers authored by Zhihong Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zhihong Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihong Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihong Yao. A scholar is included among the top collaborators of Zhihong Yao 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 Zhihong Yao. Zhihong Yao 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, Qi, Haodong Zhu, Hong Zhou, et al.. (2025). Integrating mass defect filtering and targeted molecular networking for foodomics research: A case study of Magnolia officinalis cortex. Food Research International. 210. 116441–116441.
2.
Xiao, Hao, et al.. (2024). Study on the wear performance of V-combined tandem seals. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 239(2). 163–172.
3.
Huang, Jin, et al.. (2024). Telomeres and telomerase in Sarcoma disease and therapy. International Journal of Medical Sciences. 21(11). 2065–2080. 2 indexed citations
4.
Dong, Danian, Woyu Zhang, Jinshan Yue, et al.. (2024). Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System. SHILAP Revista de lepidopterología. 6(10).
5.
Zhu, Haodong, Liangliang He, Jiali Chen, et al.. (2023). A compounds annotation strategy using targeted molecular networking for offline two-dimensional liquid chromatography-mass spectrometry analysis: Yupingfeng as a case study. Journal of Chromatography A. 1702. 464045–464045. 11 indexed citations
6.
Liu, Dan, Minxia Liu, Jing Bai, et al.. (2023). miR-137–LAPTM4B regulates cytoskeleton organization and cancer metastasis via the RhoA-LIMK-Cofilin pathway in osteosarcoma. Oncogenesis. 12(1). 25–25. 9 indexed citations
7.
Hu, Zaoxiu, Ceshi Chen, Ting Chen, et al.. (2023). Low‐dose aspirin can inhibit exosomal release induced by radiotherapy in breast cancer and attenuate its inhibitory effect on NK cell proliferation. Cancer Medicine. 12(15). 16386–16404. 9 indexed citations
8.
9.
Shang, Dashan, Qing Luo, Junjie An, et al.. (2023). A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing. Nature Communications. 14(1). 6385–6385. 38 indexed citations
10.
Yao, Zhihong. (2023). Integrating Technology and Personalized Approaches in Sports Rehabilitation: Enhancing Performance and Preventing Sports Injuries. International Journal of Scientific and Management Research. 6(7). 16–29. 1 indexed citations
11.
Li, Heng, Xiaohui Zhao, Yan Jiang, et al.. (2023). Expression of PD-1 mitigates phagocytic activities TAM in osteosarcoma. Heliyon. 10(1). e23498–e23498. 5 indexed citations
12.
Sun, Qing, et al.. (2022). A nomogram to assist blastocyst selection in vitrified‐warmed embryo transfer cycles. Journal of obstetrics and gynaecology research. 48(7). 1816–1828. 4 indexed citations
13.
Wang, Linfang, Junjie An, Chunmeng Dou, et al.. (2021). A 4T2R RRAM Bit Cell for Highly Parallel Ternary Content Addressable Memory. IEEE Transactions on Electron Devices. 68(10). 4933–4937. 26 indexed citations
14.
Pan, Dabo, Zeng Chen, Weiyang Zhang, et al.. (2019). Non-volatile pungent compounds isolated from Zingiber officinale and their mechanisms of action. Food & Function. 10(2). 1203–1211. 18 indexed citations
15.
Fan, Cailian, Xiyang Tang, Guonian Zhu, et al.. (2019). Qi-Li-Qiang-Xin Alleviates Isoproterenol-Induced Myocardial Injury by Inhibiting Excessive Autophagy via Activating AKT/mTOR Pathway. Frontiers in Pharmacology. 10. 1329–1329. 41 indexed citations
16.
17.
Liu, Li‐Yin, Zhihong Yao, Zifei Qin, et al.. (2018). Mucosal immunomodulatory evaluation and chemical profile elucidation of a classical traditional Chinese formula, Bu-Zhong-Yi-Qi-Tang. Journal of Ethnopharmacology. 228. 188–199. 21 indexed citations
18.
He, Qiming, Wenxiang Mu, Bo Fu, et al.. (2018). Schottky Barrier Rectifier Based on (100) $\beta$ -Ga2O3 and its DC and AC Characteristics. IEEE Electron Device Letters. 39(4). 556–559. 54 indexed citations
19.
20.
Yao, Zhihong, Mingyan Liu, Yi Dai, et al.. (2011). Metabolism of Epimedium-derived Flavonoid Glycosides in Intestinal Flora of Rabbits and Its Inhibition by Gluconolactone. Chinese Journal of Natural Medicines. 9(6). 461–465. 13 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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