Xiaobei Deng

2.3k citations
40 papers · 1.9k · h-index 19

Impact in

Papers in

Xiaobei Deng

37 papers receiving 1.9k citations

Peers

Xiaobei Deng
Comparison fields: 5 of 131
  • Health, Toxicology and Mutagenesis 747
  • Pollution 223
  • Cancer Research 210
  • Developmental Neuroscience 49
  • Environmental Engineering 142
Replace Eiko Koike with:
Eiko Koike Japan
Ping Ma China
Ben Li China
Piye Niu China
Tianyu Dong China
Sanae Kanno Japan
Kaori Sadakane Japan
Fabrice Nesslany France
Unni C. Nygaard Norway
Lixiao Zhou China
Xiaobei Deng relative to Eiko Koike Japan Eiko Koike's profile →
Citations per field
00.5×3.8×
Eiko Koike · 1×
Citations per year

Countries citing papers authored by Xiaobei Deng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013347
2 2013198
3 2018165
4 2014163
5 2014126
6 2016112
7 201898
8 201271
9 201967
10 201862
11 202054
12 201846
13 202341
14 200941
15 201941
16 201536
17 201930
18 201828
19 202425
20 202414

About Xiaobei Deng

Xiaobei Deng is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Physiology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (11 papers), Climate Change and Health Impacts (5 papers), Pluripotent Stem Cells Research (3 papers), Nutritional Studies and Diet (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Consumer Attitudes and Food Labeling (2 papers), Neuroscience and Neural Engineering (2 papers) and Energy and Environment Impacts (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (747 citations), Pollution (223 citations), Cancer Research (210 citations), Developmental Neuroscience (49 citations) and Environmental Engineering (142 citations). Xiaobei Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenjun Ding, Fang Zhang, Lijuan Wang, Deliang Chen, Fang Long, Zihan Xu, Jieting Wang, Biyun Qian, Hongyan Lin and Herbert Yu. Their work appears in journals such as Nutrients, Ecotoxicology and Environmental Safety, Scientific Reports, Infectious Diseases of Poverty and Translational Neurodegeneration.

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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