Han Yu

591 citations
27 papers · 484 · h-index 11

Impact in

Papers in

Han Yu

27 papers receiving 476 citations

Peers

Han Yu
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 121
  • Aging 8
  • Nutrition and Dietetics 63
  • Pollution 46
  • Behavioral Neuroscience 11
Replace De‐Xiang Xu with:
De‐Xiang Xu China
Alireza Hossaini Denmark
Kimberley A. Treinen United States
Lianyun Wang China
Gloria D. Jahnke United States
Carla D. B. Fernandez Brazil
Susan Jeffay United States
Paula Bargi‐Souza Brazil
Debjit Das India
Han Yu relative to De‐Xiang Xu China De‐Xiang Xu's profile →
Citations per field
00.5×2.9×
De‐Xiang Xu · 1×
Citations per year

Countries citing papers authored by Han Yu

Since Specialization
Citations

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

Fields of papers citing papers by Han Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201987
2 201173
3 201353
4 202044
5 201939
6 198333
7 201527
8 201725
9 202117
10 201915
11 202111
12 20169
13 19829
14 20208
15 19848
16 20235
17 20045
18 20163
19 20252
20
Association Study of the Relationship between Endometriosis and Polymorphism of p53 Codon 72.
20022

About Han Yu

Han Yu is a scholar working on Molecular Biology, Epidemiology, Plant Science, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (3 papers), Trace Elements in Health (3 papers), Redox biology and oxidative stress (3 papers), Pregnancy-related medical research (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Reproductive Physiology in Livestock (2 papers), Plant Micronutrient Interactions and Effects (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (121 citations), Aging (8 citations), Nutrition and Dietetics (63 citations), Pollution (46 citations) and Behavioral Neuroscience (11 citations). Han Yu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhipeng Zha, Kai Wang, Guangqin Fan, Lijian Shao, Fankun Zhou, Jie Xie, Chang Feng, Jinli Wang, Ji Li and Junjie Gao. Their work appears in journals such as Endocrinology, Drug Testing and Analysis, Molecular Neurobiology, Biochemical and Biophysical Research Communications and Environmental Geochemistry and Health.

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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