Jikai Jiang

887 total citations
36 papers, 756 citations indexed

About

Jikai Jiang is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Jikai Jiang has authored 36 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Nutrition and Dietetics and 9 papers in Food Science. Recurrent topics in Jikai Jiang's work include Food composition and properties (10 papers), Bioactive natural compounds (8 papers) and Retinoids in leukemia and cellular processes (6 papers). Jikai Jiang is often cited by papers focused on Food composition and properties (10 papers), Bioactive natural compounds (8 papers) and Retinoids in leukemia and cellular processes (6 papers). Jikai Jiang collaborates with scholars based in China, Hungary and Ukraine. Jikai Jiang's co-authors include Xiaoshan Liu, Jing-Hua Lin, Xiaoyang Jiao, Yujuan He, Lingdi Ma, Shihong Wen, Ze Lin, Yan Zhan, Jie Zeng and Haiyan Gao and has published in prestigious journals such as Scientific Reports, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Jikai Jiang

34 papers receiving 737 citations

Peers

Jikai Jiang
Comparison fields: 5 of 88
  • Molecular Biology 395
  • Organic Chemistry 127
  • Nutrition and Dietetics 126
  • Pharmacology 103
  • Food Science 98
Replace Monia Lenzi with:
Monia Lenzi Italy
Kamila Środa-Pomianek Poland
Srishti Mishra Singapore
Shakti Prasad Pattanayak India
Hsiu‐Maan Kuo Taiwan
Hong‐Sig Sin South Korea
Mohammad Reza Hajizadeh Iran
Katsuhisa Sakano Japan
Lenka Varinská Slovakia
Monia Lenzi Italy View profile →
Citations per field, relative to Jikai Jiang
Jikai Jiang · 1×
Citations per year, relative to Jikai Jiang
Jikai Jiang · 1×

Countries citing papers authored by Jikai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jikai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jikai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jikai Jiang. A scholar is included among the top collaborators of Jikai 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 Jikai Jiang. Jikai 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
# Work Indexed citations
1 1
2 2
3 6
4 0
5 7
6 8
7 7
8 13
9 44
10 9
11 16
12 17
13 20
14 127
15 103
16 40
17 56
18
[Inhibition of tumor growth in tumor-bearing mice treated with matrine].
9
19 26
20 4

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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