Yang Sai

1.5k total citations
44 papers, 1.0k citations indexed

About

Yang Sai is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Yang Sai has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Oncology and 14 papers in Pharmacology. Recurrent topics in Yang Sai's work include Pharmacogenetics and Drug Metabolism (11 papers), Lung Cancer Treatments and Mutations (8 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Yang Sai is often cited by papers focused on Pharmacogenetics and Drug Metabolism (11 papers), Lung Cancer Treatments and Mutations (8 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Yang Sai collaborates with scholars based in China, United States and United Kingdom. Yang Sai's co-authors include Kristopher W. Krausz, Frank J. Gonzalez, Yi Gu, Harry V. Gelboin, Magang Shou, Tian J. Yang, Pei Pei, Kai Yang, Yanxiang Zhang and Weiguo Su and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Yang Sai

43 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Sai China 17 427 297 280 182 119 44 1.0k
Dolores Diaz United States 15 618 1.4× 270 0.9× 259 0.9× 67 0.4× 143 1.2× 22 1.3k
Martin Wurm Austria 12 364 0.9× 187 0.6× 233 0.8× 67 0.4× 66 0.6× 20 861
Ming‐Derg Lai Taiwan 22 597 1.4× 226 0.8× 352 1.3× 135 0.7× 28 0.2× 48 1.3k
Ryo Atsumi Japan 18 705 1.7× 255 0.9× 1.2k 4.4× 308 1.7× 82 0.7× 39 2.1k
Mengdie Yang China 15 249 0.6× 70 0.2× 162 0.6× 111 0.6× 161 1.4× 37 802
Luyao Wang China 19 436 1.0× 66 0.2× 291 1.0× 115 0.6× 50 0.4× 85 1.0k
Haw-Jyh Chiu United States 10 268 0.6× 234 0.8× 384 1.4× 86 0.5× 32 0.3× 16 894
Song‐Hee Han South Korea 19 404 0.9× 201 0.7× 322 1.1× 100 0.5× 26 0.2× 78 965
Agneta Norén Sweden 13 158 0.4× 229 0.8× 433 1.5× 51 0.3× 65 0.5× 20 832
G I Murray United Kingdom 18 525 1.2× 404 1.4× 493 1.8× 101 0.6× 27 0.2× 25 1.2k

Countries citing papers authored by Yang Sai

Since Specialization
Citations

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

Fields of papers citing papers by Yang Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Sai. A scholar is included among the top collaborators of Yang Sai 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 Yang Sai. Yang Sai 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.
Sai, Yang, Teng Liu, Pei Pei, et al.. (2023). Radionuclide‐Labeled Microspheres for Radio‐Immunotherapy of Hepatocellular Carcinoma. Advanced Healthcare Materials. 12(26). e2300944–e2300944. 16 indexed citations
2.
Zhang, Yanxiang, Pei Pei, Hailin Zhou, et al.. (2023). Nattokinase-Mediated Regulation of Tumor Physical Microenvironment to Enhance Chemotherapy, Radiotherapy, and CAR-T Therapy of Solid Tumor. ACS Nano. 17(8). 7475–7486. 37 indexed citations
3.
Wu, Zhipeng, Weigang He, Xiaoming Dai, et al.. (2023). Preclinical Pharmacology Characterization of Sovleplenib (HMPL-523), an Orally Available Syk Inhibitor. Journal of Pharmacology and Experimental Therapeutics. 388(1). 156–170. 4 indexed citations
4.
Pei, Pei, Yanxiang Zhang, Hua Chen, et al.. (2022). 131I-αPD-L1 immobilized by bacterial cellulose for enhanced radio-immunotherapy of cancer. Journal of Controlled Release. 346. 240–249. 27 indexed citations
5.
Ren, Hong‐Can, Jianguo Sun, Jiye Aa, et al.. (2022). Mechanism-Based Pharmacokinetic Model for the Deglycosylation Kinetics of 20(S)-Ginsenosides Rh2. Frontiers in Pharmacology. 13. 804377–804377. 6 indexed citations
6.
Li, Lei, Yang Sai, Hao Yang, et al.. (2021). Diagnosis of pulmonary nodules by DNA methylation analysis in bronchoalveolar lavage fluids. Clinical Epigenetics. 13(1). 185–185. 20 indexed citations
7.
Wu, Xue, Qian Chen, Tingting Li, et al.. (2020). Effects of Food on the Pharmacokinetic Properties of Surufatinib: A Phase I, Single-dose, Randomized, Open-label Crossover Study in Healthy Subjects. Clinical Therapeutics. 42(9). 1778–1786. 5 indexed citations
8.
Gan, Hui, Michael Millward, Hua Ye, et al.. (2019). First-in-Human Phase I Study of the Selective MET Inhibitor, Savolitinib, in Patients with Advanced Solid Tumors: Safety, Pharmacokinetics, and Antitumor Activity. Clinical Cancer Research. 25(16). 4924–4932. 41 indexed citations
9.
Fan, Songhua, Ke Li, Yang Sai, et al.. (2019). Effects of a High-fat Meal on the Pharmacokinetics of the VEGFR Inhibitor Fruquintinib: A Randomized Phase I Study in Healthy Subjects. Clinical Therapeutics. 41(8). 1537–1544. 2 indexed citations
10.
11.
Yu, Shuo, et al.. (2016). Short-term effect analysis of radiofrequency ablation combined chemotherapy on middle and late period non-small cell lung cancer. Oncology Letters. 12(6). 4399–4402. 7 indexed citations
12.
13.
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
14.
Guo, Zhiqiang, Dongpei Wu, Yunfei Zhu, et al.. (2005). Structure–activity relationships of 1,3,5-triazine-2,4,6-triones as human gonadotropin-releasing hormone receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 15(16). 3685–3690. 8 indexed citations
15.
Sai, Yang, Ru-Chun Dai, Tian J. Yang, et al.. (2000). Assessment of specificity of eight chemical inhibitors using cDNA-expressed cytochromes P450. Xenobiotica. 30(4). 327–343. 123 indexed citations
16.
Shou, Magang, Kristopher W. Krausz, Yang Sai, et al.. (2000). Use of inhibitory monoclonal antibodies to assess the contribution of cytochromes P450 to human drug metabolism. European Journal of Pharmacology. 394(2-3). 199–209. 36 indexed citations
17.
Krausz, Kristopher W., et al.. (1999). Eight Inhibitory Monoclonal Antibodies Define the Role of Individual P-450s in Human Liver Microsomal Diazepam, 7-Ethoxycoumarin, and Imipramine Metabolism. Drug Metabolism and Disposition. 27(1). 102–109. 48 indexed citations
18.
Sai, Yang, et al.. (1998). Inhibitory monoclonal antibodies to human cytochrome P450 1A2: analysis of phenacetin O-deethylation in human liver. Pharmacogenetics. 8(5). 375–382. 22 indexed citations
19.
Gorrod, J. W. & Yang Sai. (1997). Recognition of novel artifacts produced during the microsomal incubation of secondary alicyclic amines in the presence of cyanide. Xenobiotica. 27(4). 389–400. 3 indexed citations
20.
Sai, Yang & J. W. Gorrod. (1995). Metabolic Interconversion of Acid Metabolites of Cotinine In Vitro. Drug metabolism and drug interactions. 12(2). 93–104. 1 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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