Yayun Qian

1.6k total citations
66 papers, 1.1k citations indexed

About

Yayun Qian is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Yayun Qian has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 25 papers in Complementary and alternative medicine and 10 papers in Pharmacology. Recurrent topics in Yayun Qian's work include Natural Compounds in Disease Treatment (23 papers), Natural product bioactivities and synthesis (15 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Yayun Qian is often cited by papers focused on Natural Compounds in Disease Treatment (23 papers), Natural product bioactivities and synthesis (15 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Yayun Qian collaborates with scholars based in China, Japan and United States. Yayun Qian's co-authors include Yanqing Liu, Shiyu Guo, Tadashi Hisamitsu, Haibo Wang, Masataka Sunagawa, Jue Chen, Guoqing Li, Yaodong Zhu, Xiaojun Dai and Feng Jin and has published in prestigious journals such as Molecules, Analytica Chimica Acta and Journal of Ethnopharmacology.

In The Last Decade

Yayun Qian

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yayun Qian China 20 618 268 213 183 120 66 1.1k
Shanmin Yang United States 21 790 1.3× 287 1.1× 179 0.8× 168 0.9× 174 1.4× 54 1.6k
Chenglai Xia China 24 691 1.1× 59 0.2× 267 1.3× 193 1.1× 183 1.5× 61 1.4k
Kui Zhao China 17 651 1.1× 96 0.4× 336 1.6× 161 0.9× 88 0.7× 36 1.1k
So‐Jin Shin South Korea 18 368 0.6× 59 0.2× 116 0.5× 271 1.5× 140 1.2× 62 1.1k
Ying Hu China 17 482 0.8× 77 0.3× 97 0.5× 88 0.5× 148 1.2× 53 1.0k
Lina Gao China 17 475 0.8× 68 0.3× 288 1.4× 83 0.5× 143 1.2× 35 939
Lei Wan China 17 495 0.8× 121 0.5× 218 1.0× 113 0.6× 144 1.2× 107 1.0k
Xinbin Gu United States 18 597 1.0× 98 0.4× 324 1.5× 99 0.5× 84 0.7× 45 957
Jianhui Tian China 21 612 1.0× 98 0.4× 344 1.6× 350 1.9× 189 1.6× 70 1.2k
Swayamjot Kaur United States 13 469 0.8× 107 0.4× 260 1.2× 280 1.5× 124 1.0× 14 1.0k

Countries citing papers authored by Yayun Qian

Since Specialization
Citations

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

Fields of papers citing papers by Yayun Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayun Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yayun Qian. A scholar is included among the top collaborators of Yayun Qian 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 Yayun Qian. Yayun Qian 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.
2.
Qian, Yayun, Feifei Huang, Siyu Chen, et al.. (2024). Therapeutic effect of recombinant Echinococcus granulosus antigen B subunit 2 protein on sepsis in a mouse model. Parasites & Vectors. 17(1). 467–467. 2 indexed citations
3.
Huang, Yanhua, et al.. (2024). A Machine Learning-Driven Surface-Enhanced Raman Scattering Analysis Platform for the Label-Free Detection and Identification of Gastric Lesions. International Journal of Nanomedicine. Volume 19. 9305–9315. 4 indexed citations
4.
Liu, Jiawei, et al.. (2023). In situ gels: The next new frontier in ophthalmic drug delivery system. Polymers for Advanced Technologies. 34(8). 2646–2662. 4 indexed citations
5.
Wang, Shuying, F. Huang, Yayun Qian, et al.. (2023). Therapeutic effect of Echinococcus granulosus cyst fluid on bacterial sepsis in mice. Parasites & Vectors. 16(1). 450–450. 8 indexed citations
6.
Qian, Yayun, Yang Wang, Ruoyu Zhou, et al.. (2023). Combined SERS Microfluidic Chip with Gold Nanocone Array for Effective Early Lung Cancer Prognosis in Mice Model. International Journal of Nanomedicine. Volume 18. 3429–3442. 10 indexed citations
7.
8.
Cao, Dawei, Ziyang Liu, Shengjie Ge, et al.. (2022). PCA-TLNN-based SERS analysis platform for label-free detection and identification of cisplatin-treated gastric cancer. Sensors and Actuators B Chemical. 375. 132903–132903. 11 indexed citations
9.
Li, Huihui, Yuan Yuan, Xiaoli Wang, et al.. (2022). Trichinella spiralis cystatin alleviates polymicrobial sepsis through activating regulatory macrophages. International Immunopharmacology. 109. 108907–108907. 17 indexed citations
10.
Lu, Wenjie, et al.. (2022). Biomedical applications of iron sulfide-based nanozymes. Frontiers in Chemistry. 10. 1000709–1000709. 12 indexed citations
11.
Cao, Dawei, Ziyang Liu, Xiaowei Cao, et al.. (2022). Serum-based surface-enhanced Raman spectroscopy combined with PCA-RCKNCN for rapid and accurate identification of lung cancer. Analytica Chimica Acta. 1236. 340574–340574. 13 indexed citations
12.
Wang, Haibo, Tengyang Ni, Xiaojun Dai, et al.. (2020). A Study on the Effect and Mechanism of Xiaoaiping (XAP) Injection and S-1 Combination Therapy in Inhibiting the Invasion and Metastasis of Human GC Cells. Anti-Cancer Agents in Medicinal Chemistry. 21(8). 1037–1046. 3 indexed citations
13.
Ni, Tengyang, Haibo Wang, Dan Li, et al.. (2019). Huachansu Capsule inhibits the proliferation of human gastric cancer cells via Akt/mTOR pathway. Biomedicine & Pharmacotherapy. 118. 109241–109241. 22 indexed citations
14.
Li, Tao, Min Xu, Xiaojun Dai, et al.. (2018). Polypharmacological Profiles Underlying the Antitumor Property of Salvia miltiorrhiza Root (Danshen) Interfering with NOX‐Dependent Neutrophil Extracellular Traps. Oxidative Medicine and Cellular Longevity. 2018(1). 4908328–4908328. 29 indexed citations
15.
Wang, Xuanyi, Yuxiang Huang, Renhua Guo, et al.. (2017). Clinicopathological significance of ROCK1 and PIK3CA expression in nasopharyngeal carcinoma. Experimental and Therapeutic Medicine. 13(3). 1064–1068. 9 indexed citations
16.
Dai, Xiaojun, Dongmei Liu, Xiaochun Zhang, et al.. (2017). Anti-metastatic Efficacy of Traditional Chinese Medicine (TCM) Ginsenoside Conjugated to a VEFGR-3 Antibody on Human Gastric Cancer in an Orthotopic Mouse Model. Anticancer Research. 37(3). 979–986. 18 indexed citations
17.
Zhu, Yaodong, et al.. (2014). Extracts of Celastrus orbiculatus exhibit anti-proliferative and anti-invasive effects on human gastric adenocarcinoma cells. Chinese Journal of Integrative Medicine. 14 indexed citations
18.
Hou, Ying, et al.. (2011). Celastrus orbiculatus extract inhibits the xenograft tumor growth of HepA1-6 hepatoma in mice. Tumori. 31(11). 999–1003. 1 indexed citations
19.
Qian, Yayun & Yanqing Liu. (2010). Inhibition of Celastrus orbiculatus extracts on VEGF expression in hepatoma cells of mice.. Chinese Herbal Medicines. 2(1). 72–76. 2 indexed citations
20.
Gong, Weijuan, et al.. (2008). Establishment and Characterization of a Cell Based Artificial Antigen-Presenting Cell for Expansion and Activation of CD8+ T Cells Ex Vivo. Cellular and Molecular Immunology. 5(1). 47–53. 12 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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