Ming Dong

1.2k citations
49 papers · 780 · h-index 13

Impact in

Papers in

Ming Dong

37 papers receiving 768 citations

Peers

Ming Dong
Comparison fields: 5 of 128
  • Complementary and alternative medicine 80
  • Cellular and Molecular Neuroscience 122
  • Renewable Energy, Sustainability and the Environment 108
  • Developmental Neuroscience 20
  • Neurology 39
Replace Houshang Amiri with:
Houshang Amiri Iran
Akira Mukai Japan
Kaiyuan Wang China
Jelena Lazović Germany
Chengyong Liu China
Xinshi Wang China
Yida Hu China
Yuqiang Shi China
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Yafei Zhao China
Ming Dong relative to Houshang Amiri Iran Houshang Amiri's profile →
Citations per field
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Houshang Amiri · 1×
Citations per year

Countries citing papers authored by Ming Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 202299
3 201683
4 201575
5 201666
6 201365
7 201532
8 202328
9 202327
10 202216
11 202414
12 202214
13 201612
14 198512
15 20249
16 20199
17 20179
18 20229
19 20237
20 19867

About Ming Dong

Ming Dong is a scholar working on Psychiatry and Mental health, Physiology, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 49 papers that have together received 780 indexed citations. Recurring topics across this work include Migraine and Headache Studies (4 papers), Pain Mechanisms and Treatments (4 papers), Potato Plant Research (2 papers), Advanced Photocatalysis Techniques (2 papers), Olfactory and Sensory Function Studies (2 papers), Neurological diseases and metabolism (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Complementary and alternative medicine (80 citations), Cellular and Molecular Neuroscience (122 citations), Renewable Energy, Sustainability and the Environment (108 citations), Developmental Neuroscience (20 citations) and Neurology (39 citations). Ming Dong has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jiaguo Yu, Yan Ma, Carol Mita, Jinfeng Zhang, Jianping Liu, Peter M. Wayne, Kehua Zhou, Peng Zhou, Bei Cheng and Chuanjia Jiang. Their work appears in journals such as Frontiers in Neurology, Journal of Neural Engineering, Frontiers in Immunology, Frontiers in Medicine and Chemical Physics 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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