Dehong Pan

400 citations
8 papers · 284 · h-index 8

Impact in

Papers in

Dehong Pan

8 papers receiving 279 citations

Peers

Dehong Pan
Comparison fields: 5 of 49
  • Health, Toxicology and Mutagenesis 81
  • Public Health, Environmental and Occupational Health 81
  • Pediatrics, Perinatology and Child Health 29
  • Endocrinology, Diabetes and Metabolism 22
  • Speech and Hearing 8
Replace Haiping Zhao with:
Haiping Zhao China
Virginija Dulskienė Lithuania
Jonathan Broder Australia
Hermann Pohlabeln Germany
Vittal Hejjaji United States
Vittorio Salvatore Italy
Xiaoqin Gan China
Kim Blond Denmark
Kristýna Žejglicová Czechia
Rick Grobbee Netherlands
Dehong Pan relative to Haiping Zhao China Haiping Zhao's profile →
Citations per field
00.5×1.5×
Haiping Zhao · 1×
Citations per year

Countries citing papers authored by Dehong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2015102
2 202166
3 201628
4 202028
5 201923
6 201818
7 201911
8 20218

About Dehong Pan

Dehong Pan is a scholar working on Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 8 papers that have together received 284 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (5 papers), Air Quality and Health Impacts (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Health, Environment, Cognitive Aging (1 paper), Diet, Metabolism, and Disease (1 paper), Birth, Development, and Health (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (81 citations), Public Health, Environmental and Occupational Health (81 citations), Pediatrics, Perinatology and Child Health (29 citations), Endocrinology, Diabetes and Metabolism (22 citations) and Speech and Hearing (8 citations). Dehong Pan has collaborated with scholars based in China, Nepal and Netherlands. Frequent co-authors include Yinghua Ma, Chunyan Luo, Jiayou Luo, Jing Jin, Haiping Zhao, Jun Ma, Haijun Wang, Zhiyong Zou, Yajun Chen and Hong Wang. Their work appears in journals such as Journal of clinical lipidology, Journal of Atherosclerosis and Thrombosis, The Science of The Total Environment, Environment International 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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