Ming‐Chi Lai

1.5k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Ming‐Chi Lai is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health. According to data from OpenAlex, Ming‐Chi Lai has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 18 papers in Pediatrics, Perinatology and Child Health and 13 papers in Psychiatry and Mental health. Recurrent topics in Ming‐Chi Lai's work include Neuroscience and Neuropharmacology Research (18 papers), Epilepsy research and treatment (11 papers) and Neonatal and fetal brain pathology (9 papers). Ming‐Chi Lai is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Epilepsy research and treatment (11 papers) and Neonatal and fetal brain pathology (9 papers). Ming‐Chi Lai collaborates with scholars based in Taiwan, United States and Canada. Ming‐Chi Lai's co-authors include San‐Nan Yang, Li‐Tung Huang, Chin‐Wei Huang, Chia‐Wei Liou, Tzu‐Jou Wang, Tzu‐Hsin Huang, Chih‐Lu Wang, Pi‐Lien Hung, San Nan Yang and Yolanda Blanco and has published in prestigious journals such as Neurology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming‐Chi Lai

39 papers receiving 1.1k citations

Hit Papers

The Role of Glutamate Receptors in Epilepsy 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming‐Chi Lai Taiwan 19 399 350 259 230 201 41 1.1k
Juliette Van Steenwinckel France 22 369 0.9× 362 1.0× 292 1.1× 110 0.5× 163 0.8× 42 1.6k
Helen B. Stolp United Kingdom 23 233 0.6× 433 1.2× 394 1.5× 81 0.4× 136 0.7× 31 1.4k
Charu Venkatesan United States 14 443 1.1× 209 0.6× 327 1.3× 95 0.4× 79 0.4× 49 922
Stephanie M. Miller Australia 19 218 0.5× 377 1.1× 268 1.0× 61 0.3× 67 0.3× 38 1.2k
Richa Hanamsagar United States 13 140 0.4× 138 0.4× 402 1.6× 91 0.4× 61 0.3× 16 1.4k
Daniel M. Pearlman United States 13 163 0.4× 79 0.2× 239 0.9× 231 1.0× 240 1.2× 16 1.3k
Catherine I. Rousset France 20 218 0.5× 727 2.1× 472 1.8× 61 0.3× 110 0.5× 26 1.5k
Maryam Ardalan Sweden 16 164 0.4× 153 0.4× 117 0.5× 59 0.3× 62 0.3× 59 839
Malik Zaben United Kingdom 18 437 1.1× 126 0.4× 279 1.1× 92 0.4× 344 1.7× 76 1.2k
Klaus Dinkel Germany 19 373 0.9× 67 0.2× 314 1.2× 100 0.4× 269 1.3× 30 1.5k

Countries citing papers authored by Ming‐Chi Lai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chi Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chi Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chi Lai. A scholar is included among the top collaborators of Ming‐Chi Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chi Lai. Ming‐Chi Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Hung‐Ling, et al.. (2025). Prevalence of and risk factors for sarcopenia in patients with epilepsy. Seizure. 125. 162–171.
2.
Liang, Wen‐Chen, et al.. (2024). ETFDH mutation involves excessive apoptosis and neurite outgrowth defect via Bcl2 pathway. Scientific Reports. 14(1). 25374–25374. 1 indexed citations
3.
Huang, Tzu‐Hsin, et al.. (2023). The Role of Glutamate Receptors in Epilepsy. Biomedicines. 11(3). 783–783. 85 indexed citations breakdown →
5.
Yang, Chih‐Sheng, et al.. (2023). Identification of New Antiseizure Medication Candidates in Preclinical Animal Studies. International Journal of Molecular Sciences. 24(17). 13143–13143. 1 indexed citations
6.
Lai, Ming‐Chi, et al.. (2022). Immunity, Ion Channels and Epilepsy. International Journal of Molecular Sciences. 23(12). 6446–6446. 25 indexed citations
7.
Chow, Julie Chi, et al.. (2014). Genetic Evaluation of Children with Global Developmental Delay—Current Status of Network Systems in Taiwan. Pediatrics & Neonatology. 56(4). 213–219. 3 indexed citations
8.
Lee, Wen‐I, Jing‐Long Huang, Kuo‐Wei Yeh, et al.. (2013). Clinical Features and Genetic Analysis of Taiwanese Patients With the Hyper IgM Syndrome Phenotype. The Pediatric Infectious Disease Journal. 32(9). 1010–1016. 24 indexed citations
9.
Huang, Li‐Tung, You‐Lin Tain, Ming‐Chi Lai, & San‐Nan Yang. (2012). Neonatal seizures: Dialogues between clinic and bench. Journal of the Formosan Medical Association. 111(5). 239–244. 3 indexed citations
10.
Hung, Te‐Yu, et al.. (2011). Anti-N-Methyl-d-Aspartate Receptor Encephalitis. Pediatrics & Neonatology. 52(6). 361–364. 18 indexed citations
11.
Lai, Ming‐Chi & Li‐Tung Huang. (2011). Effects of Early Life Stress on Neuroendocrine and Neurobehavior: Mechanisms and Implications. Pediatrics & Neonatology. 52(3). 122–129. 60 indexed citations
12.
Lai, Ming‐Chi & San‐Nan Yang. (2010). Perinatal Hypoxic‐Ischemic Encephalopathy. BioMed Research International. 2011(1). 609813–609813. 160 indexed citations
13.
Hsu, Shih‐Hsien, Ming‐Chi Lai, Tze‐Kiong Er, et al.. (2010). Ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) regulates the level of SMN expression through ubiquitination in primary spinal muscular atrophy fibroblasts. Clinica Chimica Acta. 411(23-24). 1920–1928. 39 indexed citations
14.
Wang, Jian‐Nan, et al.. (2010). Neuromyelitis Optica: A Case Report. Pediatrics & Neonatology. 51(6). 347–352. 5 indexed citations
15.
Lai, Ming‐Chi, San‐Nan Yang, & Li‐Tung Huang. (2008). Neonatal Isolation Enhances Anxiety-like Behavior Following Early-life Seizure in Rats. Pediatrics & Neonatology. 49(2). 19–25. 17 indexed citations
16.
Wang, Chien-An, Ming‐Chi Lai, Chun‐Chung Lui, et al.. (2007). An enriched environment improves cognitive performance after early-life status epilepticus accompanied by an increase in phosphorylation of extracellular signal-regulated kinase 2. Epilepsy & Behavior. 11(3). 303–309. 18 indexed citations
18.
Yang, San‐Nan, Chung-Bin Huang, Ming‐Chi Lai, et al.. (2004). Impaired SynGAP expression and long-term spatial learning and memory in hippocampal CA1 area from rats previously exposed to perinatal hypoxia-induced insults: beneficial effects of A68930. Neuroscience Letters. 371(1). 73–78. 25 indexed citations
19.
Huang, Li‐Tung, Ming‐Chi Lai, Chih‐Lu Wang, et al.. (2003). Long-term effects of early-life malnutrition and status epilepticus: assessment by spatial navigation and CREBSerine-133 phosphorylation. Developmental Brain Research. 145(2). 213–218. 20 indexed citations
20.
Huang, Li‐Tung, Chia‐Wei Liou, San Nan Yang, et al.. (2002). Aminophylline aggravates long-term morphological and cognitive damages in status epilepticus in immature rats. Neuroscience Letters. 321(3). 137–140. 4 indexed citations

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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