Ai-Ling Ji

676 citations
24 papers · 499 · h-index 12

Impact in

Papers in

Ai-Ling Ji

24 papers receiving 493 citations

Peers

Ai-Ling Ji
Comparison fields: 5 of 95
  • Health, Toxicology and Mutagenesis 158
  • Neurology 56
  • Nutrition and Dietetics 92
  • Biochemistry 33
  • Biological Psychiatry 11
Replace Anna Falkowska with:
Anna Falkowska Poland
Man Cheng China
Wanwei Li China
Fernando Freitas Brazil
Petra Belcredi Germany
Max A. Thorwald United States
Bruna Gauer Brazil
Rachna Agarwal India
Li‐Li Wen Taiwan
Jason Allen United States
Ai-Ling Ji relative to Anna Falkowska Poland Anna Falkowska's profile →
Citations per field
00.5×3.4×
Anna Falkowska · 1×
Citations per year

Countries citing papers authored by Ai-Ling Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Ling Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai-Ling Ji. 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 Ai-Ling Ji. The network helps show where Ai-Ling Ji may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 201759
3 201246
4 201639
5 201229
6 201629
7 202022
8 201921
9 201818
10 202213
11 202112
12 202312
13 202111
14 202011
15 20228
16 20225
17 20225
18 20224
19 20224
20 20224

About Ai-Ling Ji

Ai-Ling Ji is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Neurology, General Health Professions and Transportation, having authored 24 papers that have together received 499 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (16 papers), Climate Change and Health Impacts (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Fatty Acid Research and Health (3 papers), Global Health Care Issues (3 papers), Urban Transport and Accessibility (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (158 citations), Neurology (56 citations), Nutrition and Dietetics (92 citations), Biochemistry (33 citations) and Biological Psychiatry (11 citations). Ai-Ling Ji has collaborated with scholars based in China and United States. Frequent co-authors include Ruihua Yang, Tongjian Cai, Rui Cao, Han-Qiang Liu, Lei Zhang, Yafei Li, Weiwei Chen, Xia Zhang, Wenjuan Huang and Chen Xu. Their work appears in journals such as Environmental Research, Journal of Toxicology and Environmental Health, Atmospheric Environment, Ecotoxicology and Environmental Safety and Environmental Science and Pollution Research.

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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