M. Li

940 citations
24 papers · 754 · h-index 11

Impact in

    • Oral microbiology and periodontitis research
    • Dental Health and Care Utilization
    • Dental materials and restorations

Papers in

M. Li

24 papers receiving 749 citations

Peers

M. Li
Comparison fields: 5 of 105
  • Periodontics 212
  • Orthodontics 109
  • Cognitive Neuroscience 235
  • General Dentistry 20
  • Oral Surgery 63
Replace Esther Goldenberg Birman with:
Esther Goldenberg Birman Brazil
Kenneth K. Lew Singapore
Gábor Fábián Hungary
Tomoko Shimizu Japan
Sandra Werner United States
Anita Beck Hungary
Jin‐Woo Chung South Korea
Bruno Galletti Italy
Brian Johnson United States
M. Li relative to Esther Goldenberg Birman Brazil Esther Goldenberg Birman's profile →
Citations per field
00.5×12.1×
Esther Goldenberg Birman · 1×
Citations per year

Countries citing papers authored by M. Li

Since Specialization
Citations

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

Fields of papers citing papers by M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 2012100
3 201498
4 201380
5 201760
6 200660
7 201360
8 201152
9 201541
10 200539
11 201918
12 20138
13 20237
14 20235
15 20244
16 20232
17 20242
18 20241
19 20241
20 20251

About M. Li

M. Li is a scholar working on Cognitive Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Periodontics and Psychiatry and Mental health, having authored 24 papers that have together received 754 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Oral microbiology and periodontitis research (4 papers), Plant Molecular Biology Research (2 papers), Plant Gene Expression Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers), Schizophrenia research and treatment (2 papers) and Dental materials and restorations (2 papers). The work is most often cited by research in Periodontics (212 citations), Orthodontics (109 citations), Cognitive Neuroscience (235 citations), General Dentistry (20 citations) and Oral Surgery (63 citations). M. Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Xu, Xuedong Zhou, Y. Li, Tao Li, Lei Cheng, Qinyu Wang, Wei Deng, Xiaohong Ma, Keke Zhang and Qiyong Gong. Their work appears in journals such as Journal of Dental Research, Psychological Medicine, PLANT PHYSIOLOGY, Organic Letters and Nature Communications.

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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