Dan Yu

533 citations
35 papers · 384 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 3
    • Diet and metabolism studies 3

Dan Yu

30 papers receiving 374 citations

Peers

Dan Yu
Comparison fields: 5 of 106
  • Nutrition and Dietetics 52
  • Parasitology 17
  • Complementary and alternative medicine 21
  • Physiology 61
  • Nephrology 15
Replace Anderson José Ferreira with:
Anderson José Ferreira Brazil
Fatemeh Mohseni Iran
Janusz Popko Poland
Jingguo Wu China
G. Halwachs Austria
Chunhui He China
Xiaohan Zhang China
Arvinder Singh United States
Naicheng Liu China
Diletta Francesca Squarzanti Italy
Dan Yu relative to Anderson José Ferreira Brazil Anderson José Ferreira's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200937
2 201632
3 202032
4 199729
5 202129
6 201726
7 201723
8 202117
9 201917
10 202214
11 199713
12 202211
13 201911
14 201610
15 20238
16
[Meta-analysis of studies on cut-off value of serum ferritin for identifying iron deficiency].
20138
17
[The correlation between serum uric acid level and abdominal obesity or metabolic syndrome].
20148
18 20217
19 20237
20 20247

About Dan Yu

Dan Yu is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Nephrology and Ecology, having authored 35 papers that have together received 384 indexed citations. Recurring topics across this work include Diet and metabolism studies (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Parasite Biology and Host Interactions (2 papers), MRI in cancer diagnosis (2 papers), Parasites and Host Interactions (2 papers), Lipid metabolism and disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Nutrition and Dietetics (52 citations), Parasitology (17 citations), Complementary and alternative medicine (21 citations), Physiology (61 citations) and Nephrology (15 citations). Dan Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Charles R. Steinman, Xiaoxia Zhang, Yue Hu, Peter M. Rumore, Qingli Liu, Chunhua Guo, Yan Sun, Songnian Hu, Chunyang Chen and Hao Liang. Their work appears in journals such as Frontiers in Nutrition, Vaccine, Parasitology Research, Molecules and Journal of Renal 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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