Jiangyan Li

1.3k citations
31 papers · 1.0k · h-index 15

Impact in

Papers in

Jiangyan Li

31 papers receiving 998 citations

Peers

Jiangyan Li
Comparison fields: 5 of 119
  • Pollution 276
  • Industrial and Manufacturing Engineering 142
  • Health, Toxicology and Mutagenesis 135
  • Materials Chemistry 372
  • Developmental Neuroscience 30
Replace Chun-Wan Chen with:
Chun-Wan Chen Taiwan
Subhrangsu Sundar Maitra India
Meeri Visnapuu Estonia
Cheng Teng Ng Singapore
Birgit Gaiser United Kingdom
Dimitrios Bitounis United States
Adrija Sinha India
Claudia Meindl Austria
Govind Gupta India
Paritosh Patel India
Jiangyan Li relative to Chun-Wan Chen Taiwan Chun-Wan Chen's profile →
Citations per field
00.5×2×4×6×8×9.7×
Chun-Wan Chen · 1×
Citations per year

Countries citing papers authored by Jiangyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiangyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019264
2 2023100
3 201994
4 202088
5 201866
6 202159
7 201947
8 202043
9 202040
10 202131
11 202227
12 201225
13 202222
14 202121
15 202018
16 201711
17 202410
18 20228
19 20217
20 20105

About Jiangyan Li

Jiangyan Li is a scholar working on Materials Chemistry, Biomedical Engineering, Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (8 papers), Autophagy in Disease and Therapy (5 papers), Trace Elements in Health (3 papers), Zeolite Catalysis and Synthesis (2 papers), Malaria Research and Control (2 papers), Plasmonic and Surface Plasmon Research (2 papers), Carbon dioxide utilization in catalysis (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Pollution (276 citations), Industrial and Manufacturing Engineering (142 citations), Health, Toxicology and Mutagenesis (135 citations), Materials Chemistry (372 citations) and Developmental Neuroscience (30 citations). Jiangyan Li has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Yuying Xue, Xiaoru Chang, Meng Tang, Lingyue Zou, Meng Tang, Shuyan Niu, Tianshu Wu, Wenli Zhang, Lu Kong and Mengting Shang. Their work appears in journals such as Ecotoxicology and Environmental Safety, Food and Chemical Toxicology, Journal of Catalysis, Nanoscale and Redox Biology.

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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