Xiaoniu Dai

798 citations
23 papers · 643 indexed · h-index 16
Topics
Occupational and environmental lung diseases (6 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsFree Radical Biology and Medicine
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Xiaoniu Dai

23 papers receiving 638 citations

Peers

Xiaoniu Dai
Comparison fields: 5 of 98
  • Molecular Biology 310
  • Pulmonary and Respiratory Medicine 155
  • Cancer Research 121
  • Cellular and Molecular Neuroscience 82
  • Epidemiology 54
Replace Rakeshwar S. Guleria with:
Rakeshwar S. Guleria United States
Li Cai China
Danju Luo China
Mengmeng Wang China
Sabine Vettorazzi Germany
Yaling Tang China
Daochao Huang China
David Mondaca‐Ruff Chile
Mine Kinoshita Japan
Xiaoniu Dai relative to Rakeshwar S. Guleria United States Rakeshwar S. Guleria's profile →
Citations per field
00.5×1.5×2.4×
Rakeshwar S. Guleria · 1×
Citations per year

Countries citing papers authored by Xiaoniu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoniu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoniu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoniu Dai. A scholar is included among the top collaborators of Xiaoniu 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 Xiaoniu Dai. Xiaoniu 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 8
3 50
4 15
5 24
6 38
7 42
8 24
9 50
10 40
11 15
12 33
13 11
14 14
15 27
16 27
17 22
18 53
19 34
20 44

About Xiaoniu Dai

Xiaoniu Dai is a scholar working on Nephrology, Cellular and Molecular Neuroscience and Cancer Research, having authored 23 papers that have together received 643 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cancer Research (121 citations), Behavioral Neuroscience (28 citations) and Biological Psychiatry (12 citations). Xiaoniu Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jie Chao, Ling Chen, Masahiro Sokabe, Cuifen Wang, Yusi Cheng, Honghong Yao, Shencun Fang, Ying‐Ming Zhang, Xingang Wang and Haijun Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.

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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