Qing Chang

87 papers receiving 2.3k citations

Peers

Qing Chang
Comparison fields: 5 of 182
  • Public Health, Environmental and Occupational Health 487
  • Health, Toxicology and Mutagenesis 360
  • Epidemiology 298
  • Physiology 278
  • Endocrinology, Diabetes and Metabolism 264
Replace Youfa Wang with:
Youfa Wang United States
Kenneth Lo China
Jin‐Young Min South Korea
Carolyn C. Cannuscio United States
MinJae Lee United States
Ya–Wen Chen China
Xueli Yang China
William D. Kalsbeek United States
Tao Huang China
Byoungjin Park South Korea
Qing Chang relative to Youfa Wang United States Youfa Wang's profile →
Citations per field
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Youfa Wang · 1×
Citations per year

Countries citing papers authored by Qing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Chang. A scholar is included among the top collaborators of Qing Chang 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 Qing Chang. Qing Chang 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 1
2 7
3 6
4 11
5 1
6 24
7 5
8 30
9 2
10 2
11 82
12 6
13 23
14 68
15 114
16 41
17
Treatment of 30 cases of abducens nerve palsy with acupuncture
1
18
Balances of Heavy Metals and Healthy Risks in Vegetable Farming System of An Industry-Based Peri-Urban Area in Yangtze River Delta Region
5
19 273
20
Effect of Different Fertilization on Soil Characteristics of Aggregate
3

About Qing Chang

Qing Chang is a scholar working on Health, Toxicology and Mutagenesis, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (12 papers), Nutritional Studies and Diet (12 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Nephrology (193 citations), Health, Toxicology and Mutagenesis (360 citations) and Public Health, Environmental and Occupational Health (487 citations). Qing Chang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yuhong Zhao, Qi‐Jun Wu, Yang Xia, Hehua Zhang, Stephen A. Sivo, James J. Jiang, Carol Saunders, Shan‐Yan Gao, Yashu Liu and Kaijun Niu. Their work appears in journals such as Journal of Neuroscience, Journal of the American College of Cardiology 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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