Zhan-Jun Yang

810 citations
43 papers · 651 · h-index 15

Impact in

Papers in

Zhan-Jun Yang

43 papers receiving 641 citations

Peers

Zhan-Jun Yang
Comparison fields: 5 of 99
  • Biological Psychiatry 26
  • Biochemistry 66
  • Behavioral Neuroscience 30
  • Neurology 60
  • Complementary and alternative medicine 57
Replace Mohammad Ali Mirshekar with:
Mohammad Ali Mirshekar Iran
Noha N. Nassar Egypt
Sita Sharan Patel India
Masome Rashno Iran
Manish Kumar India
Sung-Jun Kim South Korea
Shahab Ghaderi Iran
Stella Calafato United States
Alireza Mohajjel Nayebi Iran
Jianxin Li China
Zhan-Jun Yang relative to Mohammad Ali Mirshekar Iran Mohammad Ali Mirshekar's profile →
Citations per field
00.5×1.5×1.8×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 201645
3 201935
4 201635
5 201934
6 201726
7 200424
8 201522
9 201722
10 201919
11 201518
12 201718
13 201718
14 202016
15 201215
16 201714
17 201614
18 200413
19 201813
20 202212

About Zhan-Jun Yang

Zhan-Jun Yang is a scholar working on Molecular Biology, Plant Science, Pharmacology, Neurology and Physiology, having authored 43 papers that have together received 651 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neurological Disease Mechanisms and Treatments (7 papers), Phytochemistry and Biological Activities (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Hormonal and reproductive studies (4 papers), Epigenetics and DNA Methylation (4 papers), Stress Responses and Cortisol (4 papers) and Research in Cotton Cultivation (4 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Biochemistry (66 citations), Behavioral Neuroscience (30 citations), Neurology (60 citations) and Complementary and alternative medicine (57 citations). Zhan-Jun Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jianxin Jia, Hongbing Zhou, Songli Shi, Wei Song, Li Song, Jia Wang, Zhiping Cai, He Wang, Baifeng Zhang and Xin Fang. Their work appears in journals such as Journal of Toxicology and Environmental Health, Contraception, Toxicology in Vitro, International Journal of Thermal Sciences and Future Oncology.

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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