Xiaoxia Li

29 papers receiving 471 citations

Peers

Xiaoxia Li
Comparison fields: 5 of 118
  • Behavioral Neuroscience 81
  • Biological Psychiatry 35
  • Health, Toxicology and Mutagenesis 120
  • Developmental Neuroscience 26
  • Automotive Engineering 64
Replace João Carlos Sousa with:
João Carlos Sousa Portugal
Tijs Louwies United States
Loyda B. Méndez United States
Virendra Singh India
Lou Herritt United States
Mojtaba Ehsanifar Iran
Douglas Weston United States
Rosario Statello Italy
Sandra M. Walser Germany
Melissa Rose United States
Xiaoxia Li relative to João Carlos Sousa Portugal João Carlos Sousa's profile →
Citations per field
00.5×10×12.8×
João Carlos Sousa · 1×
Citations per year

Countries citing papers authored by Xiaoxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 201753
3 201644
4 201531
5 202030
6 201526
7 200924
8 202024
9 202023
10 201423
11 201922
12 201817
13 201816
14 201215
15 201413
16 200910
17 201810
18 20196
19 20226
20 20235

About Xiaoxia Li

Xiaoxia Li is a scholar working on Health, Toxicology and Mutagenesis, Behavioral Neuroscience, Automotive Engineering, Pollution and Clinical Psychology, having authored 30 papers that have together received 476 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (6 papers), Stress Responses and Cortisol (6 papers), Vehicle emissions and performance (5 papers), Air Quality Monitoring and Forecasting (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Posttraumatic Stress Disorder Research (3 papers), Tryptophan and brain disorders (2 papers) and Heavy metals in environment (2 papers). The work is most often cited by research in Behavioral Neuroscience (81 citations), Biological Psychiatry (35 citations), Health, Toxicology and Mutagenesis (120 citations), Developmental Neuroscience (26 citations) and Automotive Engineering (64 citations). Xiaoxia Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xian‐Zhang Hu, Zhaowen Qiu, Lei Zhang, Robert J. Ursano, David M. Benedek, Yonghui Yang, Ji‐Huan He, Guiyun Zhu, Jingliang Su and Yanzhao Hao. Their work appears in journals such as Journal of Psychiatric Research, Sustainable Cities and Society, iScience, Water Air & Soil Pollution and Virology Journal.

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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