Mingkang Zhong

2.1k total citations
100 papers, 1.7k citations indexed

About

Mingkang Zhong is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mingkang Zhong has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Oncology and 22 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mingkang Zhong's work include Renal Transplantation Outcomes and Treatments (20 papers), Pharmacological Effects and Toxicity Studies (20 papers) and Drug Transport and Resistance Mechanisms (14 papers). Mingkang Zhong is often cited by papers focused on Renal Transplantation Outcomes and Treatments (20 papers), Pharmacological Effects and Toxicity Studies (20 papers) and Drug Transport and Resistance Mechanisms (14 papers). Mingkang Zhong collaborates with scholars based in China, United States and Tunisia. Mingkang Zhong's co-authors include Zheng Jiao, Xiaojin Shi, Chun-Lai Ma, Zhongdong Li, Xiaoyan Qiu, Qunyi Li, Haifei Chen, Zhiyuan Wu, Zhen Hong and Xunyi Wu and has published in prestigious journals such as Nature Communications, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Mingkang Zhong

95 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkang Zhong China 25 448 291 258 241 235 100 1.7k
Tony K. L. Kiang Canada 21 381 0.9× 375 1.3× 254 1.0× 246 1.0× 407 1.7× 54 1.5k
Francis L. S. Tse Japan 28 721 1.6× 210 0.7× 270 1.0× 496 2.1× 265 1.1× 110 2.7k
Walid M. Awni United States 30 489 1.1× 602 2.1× 528 2.0× 454 1.9× 531 2.3× 139 3.0k
Leo Stolk Netherlands 23 468 1.0× 544 1.9× 249 1.0× 623 2.6× 164 0.7× 68 2.4k
Hyunyoung Jeong United States 26 587 1.3× 371 1.3× 399 1.5× 131 0.5× 637 2.7× 68 1.9k
Hwi‐yeol Yun South Korea 17 194 0.4× 182 0.6× 154 0.6× 136 0.6× 129 0.5× 107 925
Klaus Kutz Switzerland 21 297 0.7× 434 1.5× 304 1.2× 220 0.9× 141 0.6× 59 1.8k
Toshifumi Shiraga Japan 21 349 0.8× 330 1.1× 300 1.2× 140 0.6× 554 2.4× 59 1.4k
James Longstreth United States 23 415 0.9× 221 0.8× 324 1.3× 601 2.5× 257 1.1× 40 2.2k
Toshiro Niwa Japan 27 452 1.0× 220 0.8× 505 2.0× 258 1.1× 1.1k 4.6× 98 2.2k

Countries citing papers authored by Mingkang Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Mingkang Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkang Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Mingkang Zhong. A scholar is included among the top collaborators of Mingkang Zhong 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 Mingkang Zhong. Mingkang Zhong 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.
Chen, Lu, Xinhai Wang, Xiang Mao, et al.. (2025). VSIG4 Promotes Tumour‐Associated Macrophage M2 Polarization and Immune Escape in Colorectal Cancer via Fatty Acid Oxidation Pathway. Clinical and Translational Medicine. 15(5). e70340–e70340. 7 indexed citations
2.
Zhong, Mingkang, et al.. (2024). Treatment access and satisfaction on disease-modifying therapies of neuromyelitis optica spectrum disorder patients in China: a cross-sectional survey. Therapeutic Advances in Neurological Disorders. 17. 4233520193–4233520193. 1 indexed citations
3.
Chen, Lu, Huanying Shi, Yongjun Zhu, et al.. (2024). Metabolism score and machine learning models for the prediction of esophageal squamous cell carcinoma progression. Cancer Science. 115(9). 3127–3142. 1 indexed citations
5.
Wang, Yan, Tianxiao Wang, Wenxin Zhang, et al.. (2023). STAT3 and STAT6 polymorphisms predict the severity of adverse reactions in Chinese NSCLC patients receiving EGFR-TKIs therapy. Journal of Chemotherapy. 36(1). 61–71. 1 indexed citations
6.
Liu, Jia, et al.. (2023). Long way to go: Progress of orphan drug accessibility in China from 2017 to 2022. Frontiers in Pharmacology. 14. 1138996–1138996. 10 indexed citations
7.
Chen, Lu, Huanying Shi, Wenxin Zhang, et al.. (2023). Carfilzomib suppressed LDHA-mediated metabolic reprogramming by targeting ATF3 in esophageal squamous cell carcinoma. Biochemical Pharmacology. 219. 115939–115939. 8 indexed citations
9.
Mao, Junjun, Yuhao Chen, Biwen Chen, et al.. (2022). Applying machine learning to the pharmacokinetic modeling of cyclosporine in adult renal transplant recipients: a multi-method comparison. Frontiers in Pharmacology. 13. 1016399–1016399. 10 indexed citations
10.
Ma, Chun-Lai, et al.. (2020). Association of xenobiotic receptor polymorphisms with carbamazepine response in epilepsy patients. Gene. 771. 145359–145359. 6 indexed citations
11.
Zhang, Liudi, Yingfeng Zhu, Haixia Cheng, et al.. (2018). The Increased Expression of Estrogen-Related Receptor α Correlates with Wnt5a and Poor Prognosis in Patients with Glioma. Molecular Cancer Therapeutics. 18(1). 173–184. 12 indexed citations
13.
Wang, Yeli, Xiangrong Ye, Ling Xiao, et al.. (2018). Validation of diabetes medication self-efficacy scale in Chinese with type 2 diabetes. Patient Preference and Adherence. Volume 12. 2517–2525. 6 indexed citations
14.
Ma, Chun-Lai, Xunyi Wu, Zheng Jiao, et al.. (2015). SCN1A, ABCC2 and UGT2B7 Gene Polymorphisms in Association with Individualized Oxcarbazepine Therapy. Pharmacogenomics. 16(4). 347–360. 39 indexed citations
15.
Li, Qunyi, Yingfeng Zhu, Meng Zhang, et al.. (2015). Chlorogenic acid inhibits hypoxia-induced pulmonary artery smooth muscle cells proliferation via c-Src and Shc/Grb2/ERK2 signaling pathway. European Journal of Pharmacology. 751. 81–88. 27 indexed citations
16.
Li, Qunyi, Li Chen, Ming‐Ming Yan, Xiaojin Shi, & Mingkang Zhong. (2015). Tectorigenin regulates adipogenic differentiation and adipocytokines secretion via PPARγand IKK/NF-κB signaling. Pharmaceutical Biology. 53(11). 1567–1575. 29 indexed citations
17.
Liu, Qingfeng, et al.. (2013). Pharmacokinetic comparisons of berberine and palmatine in normal and metabolic syndrome rats. Journal of Ethnopharmacology. 151(1). 287–291. 25 indexed citations
18.
19.
Zhong, Mingkang. (2004). Investigation of valproic acid-carbamazepine interaction by mixed effect modeling in Chinese epilepsy patients. Zhōnghuá yàoxué zázhì. 1 indexed citations
20.
Xuan, Dawei, Mingkang Zhong, Holly M. Mattoes, et al.. (2001). Streptococcus pneumoniae Response to Repeated Moxifloxacin or Levofloxacin Exposure in a Rabbit Tissue Cage Model. Antimicrobial Agents and Chemotherapy. 45(3). 794–799. 21 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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