De Kang

20 papers receiving 389 citations

Peers

De Kang
Comparison fields: 5 of 80
  • Complementary and alternative medicine 54
  • Computational Theory and Mathematics 85
  • Biological Psychiatry 10
  • Pharmacology 32
  • Aging 6
Replace Lvjie Xu with:
Lvjie Xu China
Li‐Xi Liao China
Chandran Remya India
Yunyun Yuan United States
Erika Sironi Italy
Leonardo Brunetti Italy
Zihua Xu China
Jae Wook Lee South Korea
Li‐Jun Zhu China
Hee-Jin Ha South Korea
De Kang relative to Lvjie Xu China Lvjie Xu's profile →
Citations per field
00.5×3.1×
Lvjie Xu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside De Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with De Kang Line = papers co-authored together De Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 201750
3 201849
4 201748
5 201842
6
Ocimum sanctum Linn--a study on gastric ulceration and gastric secretion in rats.
199335
7 201726
8 201724
9 201715
10 202213
11
[Network pharmacology study of effective constituents of traditional Chinese medicine for Alzheimer’s disease treatment].
20168
12 20244
13 20194
14
Role of hexosemonophosphate shunt pathway in glucose metabolism in developing human foetal brain.
19853
15
Testicular enzymes as a marker of development in human fetus.
19873
16 20252
17
Diagnosis and Treatment of Traumatic Cerebral Venous Sinus Thrombosis with Epidural Hematoma Spanning Transverse Sinus
20061
18 20171
19 20141
20
In vitro effect of aspirin on NADPH producing pathway in developing human fetus.
19871

About De Kang

De Kang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Birth, Development, and Health (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer Mechanisms and Therapy (2 papers), Medicinal Plants and Bioactive Compounds (2 papers) and Food Science and Nutritional Studies (1 paper). The work is most often cited by research in Complementary and alternative medicine (54 citations), Computational Theory and Mathematics (85 citations), Biological Psychiatry (10 citations), Pharmacology (32 citations) and Aging (6 citations). De Kang has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Guanhua Du, Ailin Liu, Lvjie Xu, Ying Zhao, Jinhua Wang, Wenwen Lian, Xiaocong Pang, Weiqi Fu, Hao Jia and Jiansong Fang. Their work appears in journals such as Molecules, Chinese Journal of Natural Medicines, BioMed Research International, Oxidative Medicine and Cellular Longevity and RSC Advances.

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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