Yue‐Ming Li

13.0k citations
150 papers · 8.6k indexed · 3 hit papers · h-index 48

Yue‐Ming Li

147 papers receiving 8.5k citations

Hit Papers

NOTCH Pathway Blockade Depletes CD133-Positive Glioblasto...5062000202620082017200400600

Peers

Yue‐Ming Li
Comparison fields: 5 of 157
  • Physiology 3.4k
  • Pharmacology 1.4k
  • Biological Psychiatry 178
  • Molecular Biology 4.6k
  • Neurology 501
Replace Lufen Chang with:
Lufen Chang United States
Ana Cuenda Spain
Yong‐Keun Jung South Korea
Ángel R. Nebreda Spain
László Nagy Hungary
Philippe P. Roux Canada
Jochen H.M. Prehn Ireland
Francesco Cecconi Italy
Atsushi Matsuzawa Japan
John Kyriakis United States
Yue‐Ming Li relative to Lufen Chang United States Lufen Chang's profile →
Citations per field
00.5×3.7×
Lufen Chang · 1×
Citations per year

Countries citing papers authored by Yue‐Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yue‐Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20242
5 20243
6 20232
7 202311
8 20226
9 20223
10 202229
11 202123
12 202023
13 201942
14 20163
15 201382
16 2012353
17 2009150
18 200914
19 2006480
20 200655

About Yue‐Ming Li

Yue‐Ming Li is a scholar working on Physiology, Pharmacology, Biological Psychiatry, Physiology and Molecular Biology, having authored 150 papers that have together received 8.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (59 papers), Cholinesterase and Neurodegenerative Diseases (25 papers), Computational Drug Discovery Methods (13 papers), Cellular transport and secretion (12 papers), Supramolecular Self-Assembly in Materials (10 papers), Chemical Synthesis and Analysis (9 papers), Food composition and properties (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Physiology (3.4k citations), Pharmacology (1.4k citations), Biological Psychiatry (178 citations), Molecular Biology (4.6k citations) and Neurology (501 citations). Yue‐Ming Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Georgia Frost, Charles G. Eberhart, Xing Fan, Min Xu, Stephen J. Gardell, Ming‐Tain Lai, Qian Huang, Xiao‐Ping Shi, Leila Khaki and Mohinder K. Sardana. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Nature Communications and Bioorganic & Medicinal Chemistry Letters.

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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