Li M. Li

9.7k citations
181 papers · 7.2k indexed · 1 hit paper · h-index 47

Impact in

Papers in

Li M. Li

179 papers receiving 7.0k citations

Hit Papers

Texture analysis of medical images 2004 · 780 citations
7802004202620112018250500750

Peers

Li M. Li
Comparison fields: 5 of 191
  • Psychiatry and Mental health 3.4k
  • Cellular and Molecular Neuroscience 1.9k
  • Pediatrics, Perinatology and Child Health 1.9k
  • Cognitive Neuroscience 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.6k
Replace Chun Kee Chung with:
Chun Kee Chung South Korea
Pauli Vainio Finland
Riitta Parkkola Finland
Elna‐Marie Larsson Sweden
Giovanni Cioni Italy
Nicholas M. Barbaro United States
Henrik Larsson Denmark
E. Jeffrey Metter United States
Mary Lou Smith Canada
Fernando Cendes Brazil
Li M. Li relative to Chun Kee Chung South Korea Chun Kee Chung's profile →
Citations per field
00.5×1.7×
Chun Kee Chung · 1×
Citations per year

Countries citing papers authored by Li M. Li

Since Specialization
Citations

This map shows the geographic impact of Li 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 Li 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 Li M. Li more than expected).

Fields of papers citing papers by Li M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 202311
5 20225
6 202042
7 201834
8 201526
9 20123
10 201221
11 201025
12 200961
13 200919
14 200796
15 200699
16 2006108
17 20058
18 200424
19 200422
20 200010

About Li M. Li

Li M. Li is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Neurology, having authored 181 papers that have together received 7.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (99 papers), Pharmacological Effects and Toxicity Studies (44 papers), Neuroscience and Neuropharmacology Research (43 papers), Advanced MRI Techniques and Applications (21 papers), EEG and Brain-Computer Interfaces (14 papers), Neurological disorders and treatments (13 papers), Neonatal and fetal brain pathology (11 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Psychiatry and Mental health (3.4k citations), Cellular and Molecular Neuroscience (1.9k citations), Pediatrics, Perinatology and Child Health (1.9k citations), Cognitive Neuroscience (1.3k citations) and Radiology, Nuclear Medicine and Imaging (1.6k citations). Li M. Li has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Fernando Cendes, Leonardo Bonilha, Gabriela Castellano, Paula Teixeira Fernandes, Simone Appenzeller, Douglas L. Arnold, Chris Rorden, Josemir W. Sander, Íscia Lopes‐Cendes and Carlos A.M. Guerreiro. Their work appears in journals such as Epilepsia, Neurology, Epilepsy & Behavior, Seizure and Brazilian Journal of Medical and Biological Research.

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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