Dan Xiang

1.6k citations
88 papers · 1.1k indexed · h-index 19

Dan Xiang

81 papers receiving 1.1k citations

Peers

Dan Xiang
Comparison fields: 5 of 144
  • Process Chemistry and Technology 67
  • Biological Psychiatry 44
  • Catalysis 63
  • Cancer Research 112
  • Behavioral Neuroscience 25
Replace Huiyu Zhang with:
Huiyu Zhang China
Zhenyu Zhou China
Hiroshi Nakanishi Japan
Chengyong Liu China
Jinzhao Wang China
Takayuki Kondo Japan
Jin Su Kim South Korea
Stephen Kelly United Kingdom
Yingying Wang China
Dan Xiang relative to Huiyu Zhang China Huiyu Zhang's profile →
Citations per field
00.5×3.7×
Huiyu Zhang · 1×
Citations per year

Countries citing papers authored by Dan Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202515
3 20250
4 20250
5 20241
6 20243
7 20242
8 20242
9 20241
10 20232
11 202347
12 202210
13 202095
14 202022
15 201915
16 20185
17 201317
18
Impact of Soil Structure Adjacent to Ground Electrodes of UHVDC Power Transmission Lines on DC Bias of Power Transformers
201213
19 200951
20
[Inhibitive effect of previously activated psoralens on K562 cell proliferation].
20040

About Dan Xiang

Dan Xiang is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Process Chemistry and Technology, Mechanics of Materials and Molecular Biology, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Stress Responses and Cortisol (4 papers), RNA modifications and cancer (4 papers), Identification and Quantification in Food (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). The work is most often cited by research in Process Chemistry and Technology (67 citations), Biological Psychiatry (44 citations), Catalysis (63 citations), Cancer Research (112 citations) and Behavioral Neuroscience (25 citations). Dan Xiang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiaoyuan Chu, Xu Chen, Yitian Chen, Lianxiang Yang, Zhongchun Liu, Nan Xu, G. V. Blessing, N. N. Hsu, Chaozheng He and Xiu‐Yuan Li. Their work appears in journals such as Frontiers in Psychiatry, Behavioural Brain Research, Frontiers in Nutrition, Cancer Medicine and Measurement Science and Technology.

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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