Zhonghua Dai

1.3k citations
30 papers · 971 indexed · h-index 13
Topics
MicroRNA in disease regulation (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Zhonghua Dai

29 papers receiving 964 citations

Peers

Zhonghua Dai
Comparison fields: 5 of 101
  • Molecular Biology 402
  • Neurology 220
  • Cell Biology 142
  • Ecology 141
  • Epidemiology 139
Replace Samuel M. Peterson with:
Samuel M. Peterson United States
Christopher Ton United States
Margherita Piccolella Italy
Dae Seok Eom United States
Mohammed M. Idris India
Oliver Schmachtenberg Chile
Javier Francisco‐Morcillo Spain
Torao Yamamoto Japan
Tor Linbo United States
Christoph Seiler United States
Zhonghua Dai relative to Samuel M. Peterson United States Samuel M. Peterson's profile →
Citations per field
00.5×5.8×
Samuel M. Peterson · 1×
Citations per year

Countries citing papers authored by Zhonghua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Dai. A scholar is included among the top collaborators of Zhonghua Dai 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 Zhonghua Dai. Zhonghua Dai 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
#WorkIndexed citations
1 1
2 3
3 5
4 11
5 2
6 4
7 88
8 22
9 1
10
Evaluation of heavy metals and pesticide residues in Dendrobium officinale produced in Guangxi.
1
11 263
12 17
13 38
14 157
15 15
16 38
17 2
18 25
19 207
20
[Effects of deltamethrin on gene expression of some antioxidase, gamma glutamylcysteine synthetase and NFE2 related factor 2 (Nrf2) in brain tissue].
0

About Zhonghua Dai

Zhonghua Dai is a scholar working on Neurology, Behavioral Neuroscience and Biological Psychiatry, having authored 30 papers that have together received 971 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (220 citations), Aquatic Science (76 citations) and Cell Biology (142 citations). Zhonghua Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Liangbiao Chen, Yaoming Wang, Angeliki M. Nikolakopoulou, Abhay P. Sagare, Berislav V. Zloković, Mikko T. Huuskonen, Zhen Zhao, Axel Montagne, Kassandra Kisler and Divna Lazić. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The EMBO Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026