Meng-Ming Hu

481 citations
14 papers · 284 · h-index 6

Impact in

Papers in

Meng-Ming Hu

12 papers receiving 282 citations

Peers

Meng-Ming Hu
Comparison fields: 5 of 64
  • Biological Psychiatry 25
  • Neurology 41
  • Cellular and Molecular Neuroscience 87
  • Physiology 89
  • Endocrinology, Diabetes and Metabolism 53
Replace Valentina Nesci with:
Valentina Nesci Italy
Nicolas Saucisse France
Jiao Yue China
Ana Gavito Spain
Nelly Joseph‐Mathurin United States
Valentina Ghisays United States
Bradley J. Baranowski Canada
Farhana Naznin Japan
Dhanush Haspula United States
Meng-Ming Hu relative to Valentina Nesci Italy Valentina Nesci's profile →
Citations per field
00.5×1.5×2.3×
Valentina Nesci · 1×
Citations per year

Countries citing papers authored by Meng-Ming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Ming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng-Ming Hu. 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 Meng-Ming Hu. The network helps show where Meng-Ming Hu may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018114
2 201863
3 202042
4 201421
5 202018
6 202112
7
[Application of wireless neuronal recording system in fear conditioning of Alzheimer's disease mice - hippocampal Theta oscillation observation].
20185
8 20183
9 20182
10 20232
11 20231
12
Amyloid β protein injection into medial septum impairs hippocampal long-term potentiation and cognitive behaviors in rats.
20181
13 20230
14 20250

About Meng-Ming Hu

Meng-Ming Hu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Neurology, having authored 14 papers that have together received 284 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (2 papers), Nerve injury and regeneration (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Genetic Syndromes and Imprinting (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biological Psychiatry (25 citations), Neurology (41 citations), Cellular and Molecular Neuroscience (87 citations), Physiology (89 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Meng-Ming Hu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jin‐Shun Qi, Meina Wu, Zhao‐Jun Wang, Junting Yang, Yuan Li, Hong-Yan Cai, Xiaojie Liu, Fang Zhao, Qing-song Liu and Jun Zhang. Their work appears in journals such as eNeuro, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Molecular Neuroscience, Molecular Neurodegeneration and Neuroscience Bulletin.

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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