Dan Liu

2.5k citations
98 papers · 1.8k indexed · h-index 24
Topics
Healthcare Policy and Management (10 papers)Primary Care and Health Outcomes (7 papers)Telomeres, Telomerase, and Senescence (7 papers)

In The Last Decade

Dan Liu

91 papers receiving 1.7k citations

Peers

Dan Liu
Comparison fields: 5 of 176
  • Molecular Biology 608
  • Physiology 541
  • Economics and Econometrics 154
  • Surgery 152
  • General Health Professions 130
Replace Brandon L. Pierce with:
Brandon L. Pierce United States
María‐José Sánchez Spain
Pamela J. Mink United States
Eva Ardanáz Spain
Fang Wang China
Hui Chen China
Francesco Barone‐Adesi Italy
Matthew R. Bonner United States
Angela Cecilia Pesatori Italy
Sin Kam South Korea
Dan Liu relative to Brandon L. Pierce United States Brandon L. Pierce's profile →
Citations per field
00.5×2.8×
Brandon L. Pierce · 1×
Citations per year

Countries citing papers authored by Dan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Liu. A scholar is included among the top collaborators of Dan Liu 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 Dan Liu. Dan Liu 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 0
2 5
3 1
4 21
5 11
6 16
7 8
8 5
9 21
10 20
11 0
12 11
13 9
14 1
15
Analysis on the Pollution Levels of Atmospheric Particles and the Correlation of Pollutants in Hubei Province
4
16
Analysis on Characteristics of Running Distance in the Match of China National Men's Football Players
1
17
Variable Contingent Diffusion Model of Customized 3G Mobile Phones
1
18 1
19
Study on Fitness Research Paradigm and Fitness Training of Football Players
0
20
FGF5 Expression and Immunolocalization in Back and Ear Skin of Young Alpaca (Lama pacos)
3

About Dan Liu

Dan Liu is a scholar working on Emergency Medicine, Economics and Econometrics and Finance, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Healthcare Policy and Management (10 papers), Primary Care and Health Outcomes (7 papers) and Telomeres, Telomerase, and Senescence (7 papers). The work is most often cited by research in Aging (89 citations), Physiology (541 citations) and Molecular Biology (608 citations). Dan Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhou Songyang, Matthew S. O’Connor, Jun Qin, Doug W. Chan, Ming Lü, Binkai Chen, Xin Han, Haiyan Deng, Wenjia Zhang and Chao‐Ke Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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