Min Yu

4.4k citations
150 papers · 3.3k · h-index 30

Impact in

Papers in

Min Yu

142 papers receiving 3.2k citations

Peers

Min Yu
Comparison fields: 5 of 139
  • Reproductive Medicine 210
  • Developmental Neuroscience 99
  • Obstetrics and Gynecology 133
  • Immunology 352
  • Public Health, Environmental and Occupational Health 460
Replace Roy L. Sutliff with:
Roy L. Sutliff United States
Chao Gao China
Dan Xu China
Delbert G. Gillespie United States
Yutaka Takahashi Japan
Dan Wang China
Assunta Pandolfi Italy
Domenico Puzzolo Italy
Matsuhiko Hayashi Japan
Wei Hu China
Min Yu relative to Roy L. Sutliff United States Roy L. Sutliff's profile →
Citations per field
00.5×2×3×3.7×
Roy L. Sutliff · 1×
Citations per year

Countries citing papers authored by Min Yu

Since Specialization
Citations

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

Fields of papers citing papers by Min Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 2016190
3 2017158
4 2017131
5 2022124
6 2019121
7 2016116
8 2020113
9 201977
10 201567
11 201565
12 202359
13 201859
14 201954
15 201551
16 201949
17 202345
18 201744
19 201944
20 201443

About Min Yu

Min Yu is a scholar working on Immunology, Reproductive Medicine, Obstetrics and Gynecology, Developmental Neuroscience and Surgery, having authored 150 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (6 papers), Reproductive Biology and Fertility (6 papers), Endometriosis Research and Treatment (5 papers), Folate and B Vitamins Research (5 papers), Epigenetics and DNA Methylation (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Immune Cell Function and Interaction (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Developmental Neuroscience (99 citations), Obstetrics and Gynecology (133 citations), Immunology (352 citations) and Public Health, Environmental and Occupational Health (460 citations). Min Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zonghai Li, Xiaoxi Sun, John Xavier Wilson, Jin Li, Lei Wang, Xiangdong Meng, Bin Li, Yao Xu, Qing Sang and Yanping Kuang. Their work appears in journals such as Medicine, The Journal of Nutritional Biochemistry, Nutrients, Frontiers in Cardiovascular Medicine and Journal of Translational Medicine.

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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