Cuihong Jin

84 papers receiving 1.6k citations

Peers

Cuihong Jin
Comparison fields: 5 of 126
  • Geochemistry and Petrology 100
  • Health, Toxicology and Mutagenesis 223
  • Developmental Neuroscience 64
  • Neurology 121
  • Cancer Research 195
Replace Yasser M. Moustafa with:
Yasser M. Moustafa Egypt
Keiko Nishio Japan
Shibo Zhang China
Govindarajan T. Ramesh United States
Jeong‐Yun Choi South Korea
Yuko Ibuki Japan
Na Liu China
Yuying Zhao China
Xinyuan Zhao China
Nana Yang China
Cuihong Jin relative to Yasser M. Moustafa Egypt Yasser M. Moustafa's profile →
Citations per field
00.5×4.3×
Yasser M. Moustafa · 1×
Citations per year

Countries citing papers authored by Cuihong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cuihong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019170
2 201584
3 202170
4 201455
5 202147
6 201844
7 201343
8 201941
9 201239
10 201936
11 201535
12 201834
13 201429
14 201429
15 201428
16 201827
17 201727
18 201827
19 201725
20 201824

About Cuihong Jin

Cuihong Jin is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cancer Research, Cellular and Molecular Neuroscience and Physiology, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (10 papers), DNA Repair Mechanisms (9 papers), Aluminum toxicity and tolerance in plants and animals (9 papers), Fuel Cells and Related Materials (8 papers), Carcinogens and Genotoxicity Assessment (8 papers), Advanced Fiber Laser Technologies (7 papers) and Membrane-based Ion Separation Techniques (6 papers). The work is most often cited by research in Geochemistry and Petrology (100 citations), Health, Toxicology and Mutagenesis (223 citations), Developmental Neuroscience (64 citations), Neurology (121 citations) and Cancer Research (195 citations). Cuihong Jin has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Xiuling Zhu, Shengwen Wu, Shuai Zhang, Jinghua Yang, Yuan Cai, Xiaobo Lu, Xiaobo Lu, Qiufang Liu, Chenyu Hao and Yuqing Xu. Their work appears in journals such as Metallomics, Optics Communications, Food and Chemical Toxicology, Biological Trace Element Research and Ecotoxicology and Environmental Safety.

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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