Taijun Yin

1.6k total citations
49 papers, 1.3k citations indexed

About

Taijun Yin is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Taijun Yin has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Pharmacology and 14 papers in Oncology. Recurrent topics in Taijun Yin's work include Drug Transport and Resistance Mechanisms (11 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Taijun Yin is often cited by papers focused on Drug Transport and Resistance Mechanisms (11 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Taijun Yin collaborates with scholars based in United States, China and Hong Kong. Taijun Yin's co-authors include Ming Hu, Song Gao, Zhen Yang, Vincent H. Tam, Ming You, Shufan Ge, Kamilia Abdelraouf, Baojian Wu, Zhi‐Hong Jiang and Yong Ma and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Taijun Yin

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taijun Yin United States 21 517 375 329 270 259 49 1.3k
Sherif T. S. Hassan Czechia 27 770 1.5× 341 0.9× 296 0.9× 152 0.6× 93 0.4× 51 2.1k
Mohammed A. Alsahli Saudi Arabia 27 676 1.3× 247 0.7× 242 0.7× 165 0.6× 82 0.3× 67 1.9k
Sattu Kamaraj India 25 786 1.5× 167 0.4× 256 0.8× 159 0.6× 59 0.2× 43 1.8k
Abdullah M. Al‐Mohizea Saudi Arabia 25 486 0.9× 165 0.4× 391 1.2× 182 0.7× 69 0.3× 88 2.2k
Jun‐Shik Choi South Korea 30 539 1.0× 285 0.8× 693 2.1× 764 2.8× 86 0.3× 87 2.1k
Guanyang Lin China 19 340 0.7× 256 0.7× 215 0.7× 73 0.3× 106 0.4× 71 972
Ching‐Hsein Chen Taiwan 25 903 1.7× 292 0.8× 325 1.0× 120 0.4× 48 0.2× 57 2.0k
Rozita Naseri Iran 18 476 0.9× 145 0.4× 220 0.7× 52 0.2× 222 0.9× 37 1.7k
Sung Hee Lee South Korea 21 834 1.6× 148 0.4× 211 0.6× 122 0.5× 50 0.2× 40 1.7k
Saeed Alqahtani Saudi Arabia 21 401 0.8× 184 0.5× 126 0.4× 192 0.7× 41 0.2× 78 1.4k

Countries citing papers authored by Taijun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Taijun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taijun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Taijun Yin. A scholar is included among the top collaborators of Taijun Yin 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 Taijun Yin. Taijun Yin 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.
Du, Ting, Song Gao, Taijun Yin, et al.. (2024). Optimized rat models better mimic patients with irinotecan-induced severe diarrhea. Toxicology Mechanisms and Methods. 34(5). 572–583. 1 indexed citations
2.
Šaponjac, Vesna Tumbas, Rashim Singh, Jie Chen, et al.. (2024). Fecal SN-38 Content as a Surrogate Predictor of Intestinal SN-38 Exposure and Associated Irinotecan-induced Severe Delayed-Onset Diarrhea by a Novel Use of the Spectrofluorimetric Method. Pharmaceutical Research. 41(9). 1855–1867. 1 indexed citations
3.
Chen, Jie, Vesna Tumbas Šaponjac, Taijun Yin, et al.. (2024). Buprenorphine Salivary Gland Accumulation Sustaining High Oral Fluid Exposure and Increasing the Risk of Streptococcus mutans Biofilm Formation. Journal of Addiction Medicine. 19(5). 520–528.
4.
Li, Li, Rongjin Sun, Joseph Zenga, et al.. (2022). Comparison of Absolute Expression and Turnover Number of COX-1 and COX-2 in Human and Rodent Cells and Tissues. Journal of Inflammation Research. Volume 15. 4435–4447. 3 indexed citations
5.
Yin, Taijun, Bo Wei, Peiying Yang, et al.. (2021). Pharmacokinetic Characterization and Bioavailability Barrier for the Key Active Components of Botanical Drug Antitumor B (ATB) in Mice for Chemoprevention of Oral Cancer. Journal of Natural Products. 84(9). 2486–2495. 8 indexed citations
6.
Li, Li, Taijun Yin, Xinli Wang, et al.. (2020). Pharmacokinetic and Metabolic Profiling of Key Active Components of Dietary Supplement Magnolia officinalis Extract for Prevention against Oral Carcinoma. Journal of Agricultural and Food Chemistry. 68(24). 6576–6587. 17 indexed citations
9.
Dashwood, Wan‐Mohaiza, Lawrence N. Kwong, Song Gao, et al.. (2017). Accurate quantification of PGE2 in the polyposis in rat colon (Pirc) model by surrogate analyte-based UPLC–MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 148. 42–50. 10 indexed citations
10.
He, Yu, Song Gao, Taijun Yin, et al.. (2017). Development and validation of a sensitive LC–MS/MS method for simultaneous determination of eight tyrosine kinase inhibitors and its application in mice pharmacokinetic studies. Journal of Pharmaceutical and Biomedical Analysis. 148. 65–72. 23 indexed citations
11.
Wang, Meifang, Yu He, Min Zeng, et al.. (2016). Establishment and use of new MDCK II cells overexpressing both UGT1A1 and MRP2 to characterize flavonoid metabolism via the glucuronidation pathway. Molecular Nutrition & Food Research. 60(9). 1967–1983. 10 indexed citations
13.
Yin, Taijun, et al.. (2016). Determination of 7α-OH cholesterol by LC–MS/MS: Application in assessing the activity of CYP7A1 in cholestatic minipigs. Journal of Chromatography B. 1025. 76–82. 7 indexed citations
16.
Wu, Baojian, Wen Jiang, Taijun Yin, Song Gao, & Ming Hu. (2012). A New Strategy to Rapidly Evaluate Kinetics of Glucuronide Efflux by Breast Cancer Resistance Protein (BCRP/ABCG2). Pharmaceutical Research. 29(11). 3199–3208. 13 indexed citations
17.
Yang, Zhen, Wei Zhu, Song Gao, et al.. (2012). Breast Cancer Resistance Protein (ABCG2) Determines Distribution of Genistein Phase II Metabolites: Reevaluation of the Roles of ABCG2 in the Disposition of Genistein. Drug Metabolism and Disposition. 40(10). 1883–1893. 59 indexed citations
18.
Yang, Zhen, Song Gao, Jingrong Wang, et al.. (2011). Enhancement of Oral Bioavailability of 20(S)-Ginsenoside Rh2 through Improved Understanding of Its Absorption and Efflux Mechanisms. Drug Metabolism and Disposition. 39(10). 1866–1872. 73 indexed citations
19.
Gao, Song, Zhen Yang, Taijun Yin, Ming You, & Ming Hu. (2011). Validated LC–MS/MS method for the determination of maackiain and its sulfate and glucuronide in blood: Application to pharmacokinetic and disposition studies. Journal of Pharmaceutical and Biomedical Analysis. 55(2). 288–293. 18 indexed citations
20.
Yang, Zhen, Song Gao, Taijun Yin, et al.. (2009). Biopharmaceutical and pharmacokinetic characterization of matrine as determined by a sensitive and robust UPLC–MS/MS method. Journal of Pharmaceutical and Biomedical Analysis. 51(5). 1120–1127. 47 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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