Xiwei Ji

588 total citations · 1 hit paper
21 papers, 459 citations indexed

About

Xiwei Ji is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Xiwei Ji has authored 21 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pharmacology and 4 papers in Pharmacology. Recurrent topics in Xiwei Ji's work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Antibiotic Resistance in Bacteria (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Xiwei Ji is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (7 papers), Antibiotic Resistance in Bacteria (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Xiwei Ji collaborates with scholars based in China, United States and New Zealand. Xiwei Ji's co-authors include Xiangrui Meng, Yuan Lü, Minji Wei, William C. Cho, Huifang Tian, Wei Lu, Xiao Zhu, Liang Li, Tianyan Zhou and Wei Lu and has published in prestigious journals such as International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy and Biochemical Pharmacology.

In The Last Decade

Xiwei Ji

19 papers receiving 455 citations

Hit Papers

Chemoresistance mechanisms of breast cancer and their cou... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chemoresistance mechanisms of breast cancer and their countermeasures
    2019 251 citations Xiwei Ji, Yuan Lü et al. Biomedicine & Pharmacotherapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiwei Ji China 9 229 129 77 64 48 21 459
Heon‐Woo Lee South Korea 15 279 1.2× 69 0.5× 76 1.0× 79 1.2× 41 0.9× 31 595
Minji Wei China 7 168 0.7× 97 0.8× 65 0.8× 46 0.7× 41 0.9× 13 345
Chunjie Wen China 15 316 1.4× 105 0.8× 162 2.1× 60 0.9× 48 1.0× 29 519
Yan‐Wei Xiang China 13 201 0.9× 143 1.1× 55 0.7× 33 0.5× 51 1.1× 26 577
Neha Merchant India 13 291 1.3× 172 1.3× 171 2.2× 32 0.5× 78 1.6× 24 632
Guoguo Jin China 14 350 1.5× 142 1.1× 131 1.7× 50 0.8× 49 1.0× 25 643
Hua Sun China 17 361 1.6× 147 1.1× 83 1.1× 48 0.8× 41 0.9× 38 585
Souneek Chakraborty India 15 264 1.2× 107 0.8× 69 0.9× 38 0.6× 28 0.6× 21 433
Peter H. Killian Germany 7 335 1.5× 92 0.7× 134 1.7× 34 0.5× 31 0.6× 9 569
Reyaz ur Rasool India 17 370 1.6× 174 1.3× 97 1.3× 31 0.5× 81 1.7× 26 694

Countries citing papers authored by Xiwei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiwei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiwei Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xiwei Ji. A scholar is included among the top collaborators of Xiwei Ji 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 Xiwei Ji. Xiwei Ji 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.
Ji, Xiwei & Yimin Cui. (2025). Model-informed drug development of novel ROCK2 inhibitor TDI01: population pharmacokinetic study and simulation. Frontiers in Pharmacology. 16. 1477607–1477607.
3.
Ji, Xiwei, Wen Yao Mak, Xue Feng, et al.. (2025). Population pharmacokinetics and pulmonary modeling of eravacycline and the determination of microbiological breakpoint and cutoff of PK/PD. Antimicrobial Agents and Chemotherapy. 69(3). e0106524–e0106524. 3 indexed citations
4.
Ji, Xiwei, et al.. (2023). Foretinib Is Effective against Triple-Negative Breast Cancer Cells MDA-MB-231 In Vitro and In Vivo by Down-Regulating p-MET/HGF Signaling. International Journal of Molecular Sciences. 24(1). 757–757. 2 indexed citations
5.
Ji, Xiwei, Xiangrui Meng, Xiao Zhu, Qingfeng He, & Yimin Cui. (2022). Research and development of Chinese anti-COVID-19 drugs. Acta Pharmaceutica Sinica B. 12(12). 4271–4286. 17 indexed citations
6.
7.
Ji, Xiwei, Yuan Lü, Huifang Tian, et al.. (2019). Chemoresistance mechanisms of breast cancer and their countermeasures. Biomedicine & Pharmacotherapy. 114. 108800–108800. 251 indexed citations breakdown →
8.
Zhao, Caiyun, Yuan Lv, Yan Zhu, et al.. (2019). A First-in-Human Safety, Tolerability, and Pharmacokinetics Study of Benapenem in Healthy Chinese Volunteers. Antimicrobial Agents and Chemotherapy. 63(3). 10 indexed citations
9.
Ji, Xiwei, et al.. (2017). Influences of renal function descriptors on population pharmacokinetic modeling of vancomycin in Chinese adult patients. Acta Pharmacologica Sinica. 39(2). 286–293. 25 indexed citations
10.
Ji, Xiwei, Wei Lu, Kehua Wu, & Yong‐Yeon Cho. (2016). Influencing Factors of the Pharmacokinetic Characters on Nanopharmaceutics. Pharmaceutical Nanotechnology. 5(1). 24–31. 6 indexed citations
11.
Ji, Xiwei, et al.. (2016). Pharmacokinetic-pharmacodynamic modeling of the antitumor effect of TM208 and EGFR-TKI resistance in human breast cancer xenograft mice. Acta Pharmacologica Sinica. 37(6). 825–833. 9 indexed citations
12.
Ji, Xiwei, Guangping Chen, Yan Song, et al.. (2015). Intratumoral estrogen sulfotransferase induction contributes to the anti-breast cancer effects of the dithiocarbamate derivative TM208. Acta Pharmacologica Sinica. 36(10). 1246–1255. 13 indexed citations
13.
Li, Jian, Jingyun Li, Xiwei Ji, et al.. (2015). Dopamine enhances the response of sunitinib in the treatment of drug-resistant breast cancer: Involvement of eradicating cancer stem-like cells. Biochemical Pharmacology. 95(2). 98–109. 35 indexed citations
14.
J, Li, et al.. (2015). An LC-MS/MS method for the quantitation of cabozantinib in rat plasma: Application to a pharmacokinetic study. Journal of Chromatography B. 985. 119–123. 22 indexed citations
15.
Ji, Xiwei, Tianyan Zhou, Yuan Lü, et al.. (2015). Breast cancer treatment and sulfotransferase. Expert Opinion on Therapeutic Targets. 19(6). 821–834. 4 indexed citations
16.
Li, Jian, Guangping Chen, Jiaojiao Xu, et al.. (2014). Exogenous dopamine induces dehydroepiandrosterone sulfotransferase (rSULT2A1) in rat liver and changes the pharmacokinetic profile of moxifloxacin in rats. Drug Metabolism and Pharmacokinetics. 30(1). 97–104. 3 indexed citations
17.
18.
Ji, Xiwei, Runtao Li, Zaiquan Li, et al.. (2013). Inhibition of EGFR autophosphorylation plays an important role in the anti-breast cancer efficacy of the dithiocarbamate derivative TM208. Acta Pharmacologica Sinica. 35(2). 239–247. 5 indexed citations
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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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