Zhao-Feng Jiang

1.6k citations
31 papers · 1.4k indexed · h-index 22
Topics
Alzheimer's disease research and treatments (22 papers)Cholinesterase and Neurodegenerative Diseases (9 papers)Curcumin's Biomedical Applications (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Zhao-Feng Jiang

31 papers receiving 1.4k citations

Peers

Zhao-Feng Jiang
Comparison fields: 5 of 103
  • Physiology 750
  • Molecular Biology 544
  • Pharmacology 248
  • Cellular and Molecular Neuroscience 175
  • Molecular Medicine 172
Replace Han‐Chang Huang with:
Han‐Chang Huang China
Rajeswara Babu Mythri India
Qiu‐Lan Ma United States
Maria Sapienza Italy
Stephanie Hagl Germany
Tatsuhiro Akaishi Japan
Sachin Patil United States
Mychica Jones United States
Kambiz Hassanzadeh Iran
Sung‐Oh Huh South Korea
Zhao-Feng Jiang relative to Han‐Chang Huang China Han‐Chang Huang's profile →
Citations per field
00.5×1.5×
Han‐Chang Huang · 1×
Citations per year

Countries citing papers authored by Zhao-Feng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao-Feng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhao-Feng Jiang. 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 Zhao-Feng Jiang. The network helps show where Zhao-Feng Jiang may publish in the future.

Co-authorship network of co-authors of Zhao-Feng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao-Feng Jiang. A scholar is included among the top collaborators of Zhao-Feng Jiang 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 Zhao-Feng Jiang. Zhao-Feng Jiang 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
#WorkIndexed citations
1 22
2 25
3 25
4 37
5 35
6 77
7 44
8 3
9 87
10 42
11 45
12
Research on the Application of Licorice on Cardio-cerebrovascular Disease
1
13 4
14 35
15 56
16 43
17 240
18 26
19 12
20 29

About Zhao-Feng Jiang

Zhao-Feng Jiang is a scholar working on Molecular Medicine, Physiology and Pharmacology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Curcumin's Biomedical Applications (6 papers). The work is most often cited by research in Molecular Medicine (172 citations), Physiology (750 citations) and Biological Psychiatry (71 citations). Zhao-Feng Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Han‐Chang Huang, Xueling Dai, Ke Xu, Hong Liang, Yaxuan Sun, Ke Xu, Changjun Lin, Bowen Zheng, Shuyan Lu and Shigong Zhu. Their work appears in journals such as FEBS Letters, International Journal of Molecular Sciences 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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