Ming Yan

1.9k citations
62 papers · 1.5k · h-index 26

Impact in

Papers in

Ming Yan

61 papers receiving 1.5k citations

Peers

Ming Yan
Comparison fields: 5 of 127
  • Sensory Systems 71
  • Pathology and Forensic Medicine 202
  • Cancer Research 170
  • Molecular Biology 737
  • Filtration and Separation 20
Replace Xuwen Liu with:
Xuwen Liu China
Kenji Miki Japan
Yun‐Wen Chen Taiwan
Xiaolong Zhang China
Xiao Lv China
Masahiko Saito Japan
Nicholas J. Izzo United States
Ke‐Yu Deng China
Yingbin Ge China
Ming Yan relative to Xuwen Liu China Xuwen Liu's profile →
Citations per field
00.5×4.8×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003119
2 201178
3 201971
4 200763
5 201161
6 201058
7 201148
8 201147
9 200947
10 201844
11 201242
12 201141
13 201341
14
A novel mutation in CRYAB associated with autosomal dominant congenital nuclear cataract in a Chinese family.
200941
15 201539
16 200936
17 201535
18 202233
19 201232
20 201530

About Ming Yan

Ming Yan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Rheumatology and Biomedical Engineering, having authored 62 papers that have together received 1.5k 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), Osteoarthritis Treatment and Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Sensory Systems (71 citations), Pathology and Forensic Medicine (202 citations), Cancer Research (170 citations), Molecular Biology (737 citations) and Filtration and Separation (20 citations). Ming Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Min Yang, Zhuojing Luo, Zhengxu Ye, Bingdong Sha, Jingzhi Li, Xing Cao, Xuezhong Liu, Guangqian Xing, Ronghua Li and Min‐Xin Guan. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Biochemical and Biophysical Research Communications, Photodiagnosis and Photodynamic Therapy, Frontiers in Immunology and Journal of Molecular Biology.

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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