De Kang

508 total citations
20 papers, 391 citations indexed

About

De Kang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, De Kang has authored 20 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in De Kang's work include Computational Drug Discovery Methods (7 papers), Birth, Development, and Health (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). De Kang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Birth, Development, and Health (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). De Kang collaborates with scholars based in China, India and United Kingdom. De Kang's co-authors include Guanhua Du, Ailin Liu, Lvjie Xu, Ying Zhao, Jinhua Wang, Xiaocong Pang, Wenwen Lian, Weiqi Fu, Hao Jia and Jiansong Fang and has published in prestigious journals such as Molecules, Pharmacology & Therapeutics and Biochemical Pharmacology.

In The Last Decade

De Kang

19 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
De Kang China	10	199	92	61	60	50	20	391
Lvjie Xu China	13	219 1.1×	108 1.2×	79 1.3×	51 0.8×	71 1.4×	23	472
T P Aneesh India	10	169 0.8×	43 0.5×	54 0.9×	39 0.7×	26 0.5×	46	491
Hossam Kamli Saudi Arabia	11	149 0.7×	33 0.4×	52 0.9×	35 0.6×	42 0.8×	33	321
Sanyin Zhang China	12	268 1.3×	81 0.9×	57 0.9×	86 1.4×	40 0.8×	33	564
Xiaoquan Liu China	11	236 1.2×	32 0.3×	40 0.7×	46 0.8×	41 0.8×	26	471
Xinuo Li China	14	232 1.2×	56 0.6×	111 1.8×	46 0.8×	87 1.7×	23	441
Esther Sala Spain	11	208 1.0×	55 0.6×	44 0.7×	14 0.2×	45 0.9×	14	367
Pengji Yi China	13	300 1.5×	46 0.5×	86 1.4×	63 1.1×	112 2.2×	15	542
Li‐Xi Liao China	15	359 1.8×	35 0.4×	110 1.8×	48 0.8×	62 1.2×	27	673
Shitang Ma China	14	206 1.0×	31 0.3×	61 1.0×	61 1.0×	58 1.2×	53	537

Countries citing papers authored by De Kang

Since Specialization

Citations

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

Fields of papers citing papers by De Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Kang

This figure shows the co-authorship network connecting the top 25 collaborators of De Kang. A scholar is included among the top collaborators of De Kang 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 De Kang. De Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bai, Shulin, et al.. (2025). Exosome-based therapeutic approach for spinal cord injury: A review. Molecular and Cellular Neuroscience. 135. 104048–104048.

Zhang, Baoyue, Jun Zhao, De Kang, et al.. (2024). Flubendazole suppresses VEGF‐induced angiogenesis in HUVECs and exerts antitumor effects in PC‐3 cells. Chemical Biology & Drug Design. 103(3). e14503–e14503. 2 indexed citations

Zhao, Jun, et al.. (2022). Identification of multi-target anti-cancer agents from TCM formula by in silico prediction and in vitro validation. Chinese Journal of Natural Medicines. 20(5). 332–351. 13 indexed citations

Pang, Xiaocong, Ying Zhao, Junke Song, et al.. (2019). Pharmacokinetics, excretion and metabolites analysis of DL0410, a dual‑acting cholinesterase inhibitor and histamine‑3 receptor antagonist. Molecular Medicine Reports. 20(2). 1103–1112. 4 indexed citations

Pang, Xiaocong, Weiqi Fu, Jinhua Wang, et al.. (2018). Identification of Estrogen Receptor α Antagonists from Natural Products via In Vitro and In Silico Approaches. Oxidative Medicine and Cellular Longevity. 2018(1). 6040149–6040149. 70 indexed citations

Pang, Xiaocong, De Kang, Jiansong Fang, et al.. (2018). Network pharmacology-based analysis of Chinese herbal Naodesheng formula for application to Alzheimer's disease. Chinese Journal of Natural Medicines. 16(1). 53–62. 48 indexed citations

Kang, De, Xiaocong Pang, Wenwen Lian, et al.. (2018). Discovery of VEGFR2 inhibitors by integrating naïve Bayesian classification, molecular docking and drug screening approaches. RSC Advances. 8(10). 5286–5297. 41 indexed citations

Pang, Xiaocong, Ying Zhao, Jinhua Wang, et al.. (2017). The Bioinformatic Analysis of the Dysregulated Genes and MicroRNAs in Entorhinal Cortex, Hippocampus, and Blood for Alzheimer’s Disease. BioMed Research International. 2017. 1–16. 26 indexed citations

Wang, Jinhua, Wan Li, Ying Zhao, et al.. (2017). Members of FOX family could be drug targets of cancers. Pharmacology & Therapeutics. 181. 183–196. 50 indexed citations

10.

Lian, Wenwen, Hao Jia, Lvjie Xu, et al.. (2017). Multi-Protection of DL0410 in Ameliorating Cognitive Defects in D-Galactose Induced Aging Mice. Frontiers in Aging Neuroscience. 9. 409–409. 23 indexed citations

11.

Xu, Lvjie, De Kang, Xiaocong Pang, et al.. (2017). P16 Network pharmacology studies on the effective constituents from the Compound Yizhihao against influenza. Biochemical Pharmacology. 139. 129–129. 1 indexed citations

12.

Pang, Xiaocong, Lin Wang, De Kang, et al.. (2017). Effects of P-Glycoprotein on the Transport of DL0410, a Potential Multifunctional Anti-Alzheimer Agent. Molecules. 22(8). 1246–1246. 15 indexed citations

13.

Lian, Wenwen, Jiansong Fang, Lvjie Xu, et al.. (2017). DL0410 Ameliorates Memory and Cognitive Impairments Induced by Scopolamine via Increasing Cholinergic Neurotransmission in Mice. Molecules. 22(3). 410–410. 46 indexed citations

14.

Pang, Xiaocong, Zhe Wang, Jiansong Fang, et al.. (2016). [Network pharmacology study of effective constituents of traditional Chinese medicine for Alzheimer’s disease treatment].. PubMed. 51(5). 725–31. 8 indexed citations

15.

Kang, De. (2014). Interaction of toxin-1 and T lymphocytes in toxic shock syndrome. Frontiers in bioscience. 19(3). 571–571. 1 indexed citations

16.

Kang, De. (2006). Diagnosis and Treatment of Traumatic Cerebral Venous Sinus Thrombosis with Epidural Hematoma Spanning Transverse Sinus. 1 indexed citations

17.

Kang, De, et al.. (1993). Ocimum sanctum Linn--a study on gastric ulceration and gastric secretion in rats.. PubMed. 37(1). 91–2. 35 indexed citations

18.

Sengupta, Tapan K., et al.. (1987). In vitro effect of aspirin on NADPH producing pathway in developing human fetus.. PubMed. 25(3). 202–3. 1 indexed citations

19.

Sengupta, Tapan K., et al.. (1987). Testicular enzymes as a marker of development in human fetus.. PubMed. 32(5). 380–3. 3 indexed citations

20.

Kang, De, et al.. (1985). Role of hexosemonophosphate shunt pathway in glucose metabolism in developing human foetal brain.. PubMed. 22(4). 208–10. 3 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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