Danxia Yu

82 papers receiving 2.2k citations

Peers

Danxia Yu
Comparison fields: 5 of 123
  • Nutrition and Dietetics 329
  • Public Health, Environmental and Occupational Health 479
  • Physiology 430
  • Biological Psychiatry 32
  • Pathology and Forensic Medicine 202
Replace Guo‐Chong Chen with:
Guo‐Chong Chen China
Yuanqing Fu China
Xu Lin China
Katharina Nimptsch Germany
Chiho Goto Japan
Ulrika Ericson Sweden
Sara Grioni Italy
Mihnea‐Alexandru Găman Romania
Jian‐Min Yuan United States
Wanshui Yang China
Danxia Yu relative to Guo‐Chong Chen China Guo‐Chong Chen's profile →
Citations per field
00.5×1.5×2.1×
Guo‐Chong Chen · 1×
Citations per year

Countries citing papers authored by Danxia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Danxia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010228
2 2009207
3 2010130
4 2014123
5 201571
6 201967
7 201267
8 201366
9 201365
10 201564
11 202059
12 201456
13 201451
14 201345
15 202043
16 201742
17 201838
18 202138
19 201637
20 201836

About Danxia Yu

Danxia Yu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Physiology, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (15 papers), Gut microbiota and health (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Diet and metabolism studies (7 papers), Bariatric Surgery and Outcomes (4 papers), Consumer Attitudes and Food Labeling (4 papers), Phytoestrogen effects and research (4 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Nutrition and Dietetics (329 citations), Public Health, Environmental and Occupational Health (479 citations), Physiology (430 citations), Biological Psychiatry (32 citations) and Pathology and Forensic Medicine (202 citations). Danxia Yu has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Wei Zheng, Xiao‐Ou Shu, Yong‐Bing Xiang, Yu‐Tang Gao, An Pan, Honglan Li, Lin Xu, Xianglan Zhang, Wendy Demark‐Wahnefried and Zhijie Yu. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Nutrition, PLoS ONE, International Journal of Cancer and Current Developments in Nutrition.

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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