Daixin Huang

821 total citations
55 papers, 575 citations indexed

About

Daixin Huang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daixin Huang has authored 55 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Daixin Huang's work include Molecular Biology Techniques and Applications (20 papers), Forensic and Genetic Research (19 papers) and Epigenetics and DNA Methylation (11 papers). Daixin Huang is often cited by papers focused on Molecular Biology Techniques and Applications (20 papers), Forensic and Genetic Research (19 papers) and Epigenetics and DNA Methylation (11 papers). Daixin Huang collaborates with scholars based in China, Hong Kong and Denmark. Daixin Huang's co-authors include Shaohua Yi, Chao Xiao, Yuxuan Liu, Qingqing Hu, Yujie Huang, Ailing Wei, Sisi Wu, Huali Chen, Hui Yin and Wei Jiang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Animal Science.

In The Last Decade

Daixin Huang

50 papers receiving 562 citations

Peers

Daixin Huang
Comparison fields: 5 of 98
  • Molecular Biology 393
  • Genetics 223
  • Ecology 60
  • Cancer Research 55
  • Public Health, Environmental and Occupational Health 46
Replace Tana Wuren with:
Tana Wuren China
Lisa Krämer Germany
Fiona C. Malcomson United Kingdom
Carla M.K. Morrow United States
Fengbin Zhang China
Shengzhu Huang China
Lina Cai China
Gargi Bagchi United States
Sumei Zhang China
Yaping Xin China
Tana Wuren China View profile →
Citations per field, relative to Daixin Huang
Daixin Huang · 1×
Citations per year, relative to Daixin Huang
Daixin Huang · 1×

Countries citing papers authored by Daixin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Daixin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daixin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Daixin Huang. A scholar is included among the top collaborators of Daixin Huang 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 Daixin Huang. Daixin Huang 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
# Work Indexed citations
1 0
2 0
3 1
4 5
5 1
6 3
7 4
8 22
9 12
10 3
11 17
12 20
13 36
14 7
15 3
16 3
17 73
18 13
19 13
20 4

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