Jing Jin

2.1k citations
78 papers · 1.5k indexed · h-index 23
Topics
Cancer, Lipids, and Metabolism (8 papers)Natural product bioactivities and synthesis (7 papers)Phytochemistry and Biological Activities (6 papers)
Journals
Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Jing Jin

74 papers receiving 1.5k citations

Peers

Jing Jin
Comparison fields: 5 of 138
  • Molecular Biology 743
  • Plant Science 301
  • Complementary and alternative medicine 196
  • Cancer Research 182
  • Pharmacology 153
Replace Shi Qiu with:
Shi Qiu China
Shengjie Yang China
Khaled Hossain Bangladesh
Peili Zhu Hong Kong
Hai Jiang China
Jian‐Li Gao China
Yue Lu China
Xuan Liu China
Eun Mi Choi South Korea
Yonggang Ma China
Jing Jin relative to Shi Qiu China Shi Qiu's profile →
Citations per field
00.5×1.5×2.0×
Shi Qiu · 1×
Citations per year

Countries citing papers authored by Jing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jin. A scholar is included among the top collaborators of Jing Jin 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 Jing Jin. Jing Jin 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 0
2 0
3 2
4 6
5 13
6 6
7 2
8 26
9 1
10 34
11 20
12 32
13 18
14 11
15
Research on the inhibitory effect of FAT-1 on endometrial cancer cell proliferation
1
16 133
17 91
18
Study on Chemical Constituents of Codonopsis thalictrifolia Wall. var. mollis( Chipp) L.T. Shen
6
19 30
20
Anti-tumor components in Stachy geobombycis.
4

About Jing Jin

Jing Jin is a scholar working on Computational Mathematics, Pharmacology and Cancer Research, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (8 papers), Natural product bioactivities and synthesis (7 papers) and Phytochemistry and Biological Activities (6 papers). The work is most often cited by research in Complementary and alternative medicine (196 citations), Pharmacology (153 citations) and Cancer Research (182 citations). Jing Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Min Huang, Xupeng Bai, Xiang‐Yu Hou, Zhongxiang Zhao, Yibei Chen, Di Cao, Tiangang Luan, Zhiying Huang, Chuncao Xu and Shiqin Jiang. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

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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