Ming Yan

2.0k citations
63 papers · 1.6k · h-index 26

Impact in

Papers in

Ming Yan

62 papers receiving 1.6k citations

Peers

Ming Yan
Comparison fields: 5 of 127
  • Sensory Systems 76
  • Cancer Research 170
  • Pathology and Forensic Medicine 204
  • Molecular Biology 750
  • Filtration and Separation 20
Replace Xuwen Liu with:
Xuwen Liu China
Yun‐Wen Chen Taiwan
Hiroshi Kajiya Japan
Antony D. Adamson United Kingdom
Ke‐Yu Deng China
Xiaoyang Li China
Marco Brotto United States
Eva Cernuda‐Morollón Spain
Yao Yao United States
Ming Yan relative to Xuwen Liu China Xuwen Liu's profile →
Citations per field
00.5×2×3×4×4.6×
Xuwen Liu · 1×
Citations per year

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003127
2 201178
3 201969
4 200764
5 201162
6 201058
7 201148
8 201148
9 201847
10 200947
11 201242
12 201342
13
A novel mutation in CRYAB associated with autosomal dominant congenital nuclear cataract in a Chinese family.
200941
14 201140
15 201538
16 201537
17 200936
18 202234
19 201832
20 201232

About Ming Yan

Ming Yan is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Rheumatology, Ophthalmology and Genetics, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Cancer Cells and Metastasis (5 papers), Spondyloarthritis Studies and Treatments (4 papers), Glioma Diagnosis and Treatment (4 papers), Retinal Diseases and Treatments (4 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Sensory Systems (76 citations), Cancer Research (170 citations), Pathology and Forensic Medicine (204 citations), Molecular Biology (750 citations) and Filtration and Separation (20 citations). Ming Yan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhuojing Luo, Min Hee Yang, Bingdong Sha, Jingzhi Li, Xue Zhong Liu, Guangqian Xing, Min‐Xin Guan, Xingkuan Bu, Xing Cao and Ronghua Li. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Biochemical and Biophysical Research Communications, Spine, Journal of Molecular Biology and Frontiers in Immunology.

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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