Min Deng

799 citations
31 papers · 459 · h-index 11

Impact in

Papers in

Min Deng

28 papers receiving 447 citations

Peers

Min Deng
Comparison fields: 5 of 79
  • Neurology 152
  • Health Informatics 12
  • Genetics 78
  • Geriatrics and Gerontology 22
  • Complementary and alternative medicine 38
Replace Xiao‐Liang Liu with:
Xiao‐Liang Liu China
Wenxin Zhuang China
Yoo Hun Noh South Korea
Nebiyu Abshiru United States
Shengjun An China
Yung-Feng Liao Taiwan
Denise Orozco Germany
Huimin Dong China
Lipeng Tian United States
Fen Pei United States
Min Deng relative to Xiao‐Liang Liu China Xiao‐Liang Liu's profile →
Citations per field
00.5×2.5×
Xiao‐Liang Liu · 1×
Citations per year

Countries citing papers authored by Min Deng

Since Specialization
Citations

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

Fields of papers citing papers by Min Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200477
2 202351
3 201043
4
Protective effect of tubuloside B on TNFalpha-induced apoptosis in neuronal cells.
200442
5 200940
6 201036
7 201028
8 201527
9 202420
10 201117
11 201511
12 20109
13 20219
14
Study on the Effect and Characters of Yellow Sticky Trap Sticking Aleurocanthus spiniferus and Empoasca vitis Gothe in Tea Garden
20107
15 20217
16 20156
17 20105
18
[Generation of induced pluripotent stem cells from amyotrophic lateral sclerosis patientcarrying SOD1-V14M mutation].
20145
19 20234
20 20213

About Min Deng

Min Deng is a scholar working on Neurology, Molecular Biology, Genetics, Complementary and alternative medicine and Plant Science, having authored 31 papers that have together received 459 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (12 papers), Neurogenetic and Muscular Disorders Research (4 papers), Neurological diseases and metabolism (2 papers), Alzheimer's disease research and treatments (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Flowering Plant Growth and Cultivation (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Acupuncture Treatment Research Studies (1 paper). The work is most often cited by research in Neurology (152 citations), Health Informatics (12 citations), Genetics (78 citations), Geriatrics and Gerontology (22 citations) and Complementary and alternative medicine (38 citations). Min Deng has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yong Jiang, Hui Wang, Liping Guan, Xiaodong Ju, Dongsheng Fan, Peng Tu, Guian Chen, Yun Zhang, Jing Wang and Yingfang Ao. Their work appears in journals such as HortScience, Neurobiology of Aging, Frontiers in Neuroscience, Biochemical and Biophysical Research Communications and Acta Pharmaceutica Sinica B.

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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