Junjie Ding

1.8k total citations
57 papers, 1.3k citations indexed

About

Junjie Ding is a scholar working on Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Junjie Ding has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 14 papers in Pediatrics, Perinatology and Child Health and 12 papers in Molecular Biology. Recurrent topics in Junjie Ding's work include Computational Drug Discovery Methods (15 papers), Pharmacological Effects and Toxicity Studies (13 papers) and Analytical Chemistry and Chromatography (6 papers). Junjie Ding is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Pharmacological Effects and Toxicity Studies (13 papers) and Analytical Chemistry and Chromatography (6 papers). Junjie Ding collaborates with scholars based in China, United Kingdom and Hong Kong. Junjie Ding's co-authors include Dongsheng Cao, Xiaoqin Ding, Tingjun Hou, Zheng Jiao, Chao Shen, Zhe Wang, Liangliang Wang, Aiping Lü, Qi Pei and Xinmiao Liang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Junjie Ding

54 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
Junjie Ding China 20 397 361 220 174 166 57 1.3k
Hwi‐yeol Yun South Korea 17 81 0.2× 194 0.5× 182 0.8× 195 1.1× 30 0.2× 107 925
Wolfgang Jacobsen United States 24 135 0.3× 340 0.9× 485 2.2× 620 3.6× 33 0.2× 37 2.3k
Handan He United States 26 280 0.7× 411 1.1× 187 0.8× 11 0.1× 91 0.5× 54 1.8k
William H. Barr United States 24 61 0.2× 309 0.9× 341 1.6× 59 0.3× 93 0.6× 60 1.7k
Jeremiah D. Momper United States 22 58 0.1× 290 0.8× 361 1.6× 101 0.6× 22 0.1× 86 1.4k
Rabindra Patnaik United States 8 115 0.3× 397 1.1× 228 1.0× 32 0.2× 19 0.1× 11 1.8k
Atul Kumar Singh India 19 222 0.6× 444 1.2× 42 0.2× 71 0.4× 18 0.1× 92 1.2k
Hyunyoung Jeong United States 26 58 0.1× 587 1.6× 371 1.7× 126 0.7× 12 0.1× 68 1.9k
K Rowland‐Yeo United Kingdom 16 150 0.4× 285 0.8× 327 1.5× 31 0.2× 19 0.1× 22 1.6k
Faith M. Williams United Kingdom 31 122 0.3× 460 1.3× 110 0.5× 21 0.1× 38 0.2× 87 2.8k

Countries citing papers authored by Junjie Ding

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Ding. A scholar is included among the top collaborators of Junjie Ding 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 Junjie Ding. Junjie Ding 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.
Gao, Ming, et al.. (2025). Machine-learning-driven QSPR models for energetic molecules: A review on safety and energetic properties prediction. Chemical Engineering Journal Advances. 23. 100804–100804. 2 indexed citations
2.
Ding, Junjie, et al.. (2025). Assessment of ethnic differences in pharmacokinetics and clinical responses of acalabrutinib between Chinese and White patients with B‐cell malignancies. British Journal of Clinical Pharmacology. 91(7). 2008–2019. 2 indexed citations
3.
Yang, Guoping, et al.. (2025). Machine Learning for Prediction of Drug Concentrations: Application and Challenges. Clinical Pharmacology & Therapeutics. 117(5). 1236–1247. 6 indexed citations
4.
Ding, Junjie, Richard M. Hoglund, Harry Tagbor, et al.. (2024). Population pharmacokinetics of amodiaquine and piperaquine in African pregnant women with uncomplicated Plasmodium falciparum infections. CPT Pharmacometrics & Systems Pharmacology. 13(11). 1893–1903. 2 indexed citations
5.
6.
7.
Ding, Junjie, Richard M. Hoglund, & Joel Tärning. (2024). Medication adherence framework: A population‐based pharmacokinetic approach and its application in antimalarial treatment assessments. CPT Pharmacometrics & Systems Pharmacology. 13(5). 795–811. 1 indexed citations
8.
Ding, Junjie, Chunya Puttikhunt, Sansanee Noisakran, et al.. (2024). In‐host modeling of dengue virus and non‐structural protein 1 and the effects of ivermectin in patients with acute dengue fever. CPT Pharmacometrics & Systems Pharmacology. 13(12). 2196–2209.
9.
Luo, Ping, Guoping Yang, Shaihong Zhu, et al.. (2022). Population pharmacokinetics of omeprazole in obese and normal-weight adults. Expert Review of Clinical Pharmacology. 15(4). 461–471. 4 indexed citations
10.
Li, Yaqian, Junjie Ding, Hongyi Tan, et al.. (2021). External evaluation of published population pharmacokinetic models of polymyxin B. European Journal of Clinical Pharmacology. 77(12). 1909–1917. 12 indexed citations
11.
Wu, Di, et al.. (2021). Predictors of Mortality and Drug Resistance Among Carbapenem-Resistant Enterobacteriaceae-Infected Pancreatic Necrosis Patients. Infectious Diseases and Therapy. 10(3). 1665–1676. 14 indexed citations
12.
Wu, Di, et al.. (2021). Predictors of mortality in acute pancreatitis complicated with multidrug-resistant Klebsiella pneumoniae infection. BMC Infectious Diseases. 21(1). 977–977. 11 indexed citations
13.
Jin, Gaowa, et al.. (2021). Synthesis and chromatographic evaluation of pyrazinedicarboxylic anhydride bonded stationary phase. Journal of Chromatography A. 1638. 461825–461825. 9 indexed citations
14.
Wang, Chenyu, et al.. (2020). Remedial dosing recommendations for delayed or missed doses of valproic acid in patients with epilepsy based on Monte Carlo simulations. Epilepsy & Behavior. 111. 107265–107265. 14 indexed citations
15.
Hu, Can, Wenjun Yin, Junjie Ding, et al.. (2018). Evaluating tacrolimus pharmacokinetic models in adult renal transplant recipients with different CYP3A5 genotypes. European Journal of Clinical Pharmacology. 74(11). 1437–1447. 14 indexed citations
16.
Pei, Qi, Jie Huang, Jingkai Gu, et al.. (2016). Influences of CYP2D6*10 polymorphisms on the pharmacokinetics of iloperidone and its metabolites in Chinese patients with schizophrenia: a population pharmacokinetic analysis. Acta Pharmacologica Sinica. 37(11). 1499–1508. 9 indexed citations
17.
Yan, Jingyu, Zhimou Guo, Junjie Ding, et al.. (2015). Analysis of vancomycin and its related impurities by hydrophilic interaction liquid chromatography. Chinese Journal of Chromatography. 33(9). 951–951. 1 indexed citations
18.
Zuo, Xiao‐cong, Chee M. Ng, Jeffrey S. Barrett, et al.. (2013). Effects of CYP3A4 and CYP3A5 polymorphisms on tacrolimus pharmacokinetics in Chinese adult renal transplant recipients. Pharmacogenetics and Genomics. 23(5). 251–261. 108 indexed citations
19.
Ding, Junjie, Yunjian Zhang, Zheng Jiao, & Yi Wang. (2012). The effect of poor compliance on the pharmacokinetics of carbamazepine and its epoxide metabolite using Monte Carlo simulation. Acta Pharmacologica Sinica. 33(11). 1431–1440. 33 indexed citations
20.
Jiao, Zheng, Junjie Ding, Jie Shen, et al.. (2008). Population pharmacokinetic modelling for enterohepatic circulation of mycophenolic acid in healthy Chinese and the influence of polymorphisms in UGT1A9. British Journal of Clinical Pharmacology. 65(6). 893–907. 56 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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