Dan Xiang

1.7k citations
91 papers · 1.2k · h-index 20

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • Identification and Quantification in Food 4
    • Epigenetics and DNA Methylation 3
    • Ultrasonics and Acoustic Wave Propagation 5

Dan Xiang

84 papers receiving 1.2k citations

Peers

Dan Xiang
Comparison fields: 5 of 141
  • Process Chemistry and Technology 67
  • Biological Psychiatry 36
  • Catalysis 63
  • Cancer Research 91
  • Behavioral Neuroscience 19
Replace Huiyu Zhang with:
Huiyu Zhang China
Stephen Kelly United Kingdom
Yingying Wang China
Suyi Liu China
Xiaoyi Gao United States
Yan Chen China
Takao Ito Japan
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-authors

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

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201276
3 202159
4 202355
5 199652
6 200951
7 201840
8 201837
9 201237
10 202036
11 201836
12 201033
13 201329
14 202227
15 200927
16 201326
17 202523
18 202023
19 201323
20 202022

About Dan Xiang

Dan Xiang is a scholar working on Molecular Biology, Mechanics of Materials, Mechanical Engineering, Biomedical Engineering and Immunology, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Gear and Bearing Dynamics Analysis (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Geophysical Methods and Applications (4 papers), Identification and Quantification in Food (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Process Chemistry and Technology (67 citations), Biological Psychiatry (36 citations), Catalysis (63 citations), Cancer Research (91 citations) and Behavioral Neuroscience (19 citations). Dan Xiang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiaoyuan Chu, Zhongchun Liu, Yitian Chen, Nan Xu, Lianxiang Yang, Xu Chen, 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, Medicine, eLife and Frontiers in Nutrition.

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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