Xiaoyan Dang

680 citations
18 papers · 582 · h-index 11

Impact in

  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection
    • Coffee research and impacts
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Xiaoyan Dang

18 papers receiving 576 citations

Peers

Xiaoyan Dang
Comparison fields: 5 of 91
  • Pharmacology 72
  • Cancer Research 111
  • Hepatology 45
  • Geriatrics and Gerontology 21
  • Biochemistry 31
Replace Quan Jin with:
Quan Jin China
Yanqi Dang China
Marı́a Teresa Ronco Argentina
Kyung Hwan Jegal South Korea
Gi Ho Lee South Korea
Marı́a Cristina Carrillo Argentina
Xinyan Xue China
María de Luján Álvarez Argentina
Jingda Li China
Huahong Yang China
Xiaoyan Dang relative to Quan Jin China Quan Jin's profile →
Citations per field
00.5×3.7×
Quan Jin · 1×
Citations per year

Countries citing papers authored by Xiaoyan Dang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012210
2 201378
3 201448
4 201444
5 201436
6 201333
7 201731
8 201521
9 202215
10 201913
11 202013
12 202010
13 20129
14 20208
15 20236
16 20124
17
Effect of packaging and storage temperature on water holding capacity of catfish fillets during storage based on low field NMR.
20162
18
Screening and cloning of the target genes transactivated by human gene 2 transactivated by hepatitis C virus NS3 protein using suppression subtractive hybridization
20041

About Xiaoyan Dang

Xiaoyan Dang is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Hepatology, having authored 18 papers that have together received 582 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers), Liver physiology and pathology (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Liver Disease and Transplantation (2 papers) and Macrophage Migration Inhibitory Factor (1 paper). The work is most often cited by research in Pharmacology (72 citations), Cancer Research (111 citations), Hepatology (45 citations), Geriatrics and Gerontology (21 citations) and Biochemistry (31 citations). Xiaoyan Dang has collaborated with scholars based in China. Frequent co-authors include Haitao Shi, Xiaolan Lu, Jiong Jiang, Lei Dong, Jia Miao, Juhui Zhao, Gang Zhao, Longfei Pan, Yong Qin and Wei Li. Their work appears in journals such as Cell Transplantation, International Journal of Molecular Medicine, Inflammation Research, Toxicology and Chinese Journal of Integrative 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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