Zhan-Jun Yang

795 citations
47 papers · 658 · h-index 15

Impact in

Papers in

Zhan-Jun Yang

44 papers receiving 650 citations

Peers

Zhan-Jun Yang
Comparison fields: 5 of 100
  • Biochemistry 69
  • Biological Psychiatry 25
  • Behavioral Neuroscience 30
  • Complementary and alternative medicine 58
  • Neurology 59
Replace Mohammad Ali Mirshekar with:
Mohammad Ali Mirshekar Iran
Masome Rashno Iran
Sita Sharan Patel India
Noha N. Nassar Egypt
Stella Calafato Italy
Sung-Jun Kim South Korea
Atsushi Sawamoto Japan
Mihoko Koyanagi Japan
Jianxin Li China
Esther T. Menze Egypt
Zhan-Jun Yang relative to Mohammad Ali Mirshekar Iran Mohammad Ali Mirshekar's profile →
Citations per field
00.5×1.7×
Mohammad Ali Mirshekar · 1×
Citations per year

Countries citing papers authored by Zhan-Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhan-Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhan-Jun Yang. 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 Zhan-Jun Yang. The network helps show where Zhan-Jun Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Zhan-Jun Yang, 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 Zhan-Jun Yang Line = papers co-authored together Zhan-Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021126
2 201647
3 201636
4 201935
5 201726
6 201726
7 200424
8 201522
9 201721
10 201520
11 201920
12 201718
13 200417
14 202016
15 201915
16 201215
17 201615
18 201714
19 201814
20 202214

About Zhan-Jun Yang

Zhan-Jun Yang is a scholar working on Neurology, Complementary and alternative medicine, Pharmacology, Molecular Biology and Plant Science, having authored 47 papers that have together received 658 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (8 papers), Alzheimer's disease research and treatments (7 papers), Phytochemistry and Biological Activities (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Research in Cotton Cultivation (4 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Biological and pharmacological studies of plants (3 papers). The work is most often cited by research in Biochemistry (69 citations), Biological Psychiatry (25 citations), Behavioral Neuroscience (30 citations), Complementary and alternative medicine (58 citations) and Neurology (59 citations). Zhan-Jun Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jianxin Jia, Songli Shi, Hongbing Zhou, Jia Wang, Li Song, Wei Song, He Wang, Zhiping Cai, Baifeng Zhang and Guanghui Cui. Their work appears in journals such as Journal of Toxicology and Environmental Health, Frontiers in Pharmacology, Contraception, International Journal of Thermal Sciences and Circulation.

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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