Ming Yan

756 citations
52 papers · 569 · h-index 14

Impact in

    • Ion Channels and Receptors
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

Ming Yan

50 papers receiving 559 citations

Peers

Ming Yan
Comparison fields: 5 of 79
  • Sensory Systems 29
  • Cancer Research 74
  • Obstetrics and Gynecology 29
  • Radiology, Nuclear Medicine and Imaging 76
  • Ophthalmology 27
Replace Mark Burgert with:
Mark Burgert United States
Tian Yang China
Xiaoxi Chen China
Ruwen Cui United States
Wenhao Xia China
Yonghwan Shin South Korea
Qing Shi China
Lei Yan China
Raquel Grau Spain
Junxian Song China
Ming Yan relative to Mark Burgert United States Mark Burgert's profile →
Citations per field
00.5×6.8×
Mark Burgert · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201639
3
A novel connexin 50 (GJA8) mutation in a Chinese family with a dominant congenital pulverulent nuclear cataract.
200835
4 201734
5 201634
6 201625
7 200824
8 201923
9 202023
10 202018
11 201717
12 201916
13 201015
14 201315
15 202013
16 201912
17 202110
18 201010
19 201510
20 20209

About Ming Yan

Ming Yan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Plant Science and Cancer Research, having authored 52 papers that have together received 569 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (6 papers), Connexins and lens biology (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Global Cancer Incidence and Screening (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Sensory Systems (29 citations), Cancer Research (74 citations), Obstetrics and Gynecology (29 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Ophthalmology (27 citations). Ming Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Min Ke, Fang Zheng, Xiaolan Guo, Lei Peng, Wen Zeng, Jianjian Zhao, Siying He, Fang Zheng, Guohua Yang and Hong Luo. Their work appears in journals such as BioMed Research International, Molecular Biology Reports, PLoS ONE, BMC Ophthalmology and Planta Medica.

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.

Explore authors with similar magnitude of impact