Yi An

1.1k citations
36 papers · 801 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Hydrogels: synthesis, properties, applications

Papers in

Yi An

35 papers receiving 796 citations

Peers

Yi An
Comparison fields: 5 of 95
  • Cancer Research 159
  • Molecular Medicine 43
  • Cardiology and Cardiovascular Medicine 173
  • Complementary and alternative medicine 59
  • Biomaterials 69
Replace Zhihua Guo with:
Zhihua Guo China
Claudia Gherman Romania
Jiaxin Li China
Ileana Mânduțeanu Romania
Elena Butoi Romania
Prem Prakash India
Jisu Kim South Korea
Min Dai China
Chak Kwong Cheng Hong Kong
Yi An relative to Zhihua Guo China Zhihua Guo's profile →
Citations per field
00.5×4.1×
Zhihua Guo · 1×
Citations per year

Countries citing papers authored by Yi An

Since Specialization
Citations

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

Fields of papers citing papers by Yi An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201694
3 202156
4 202155
5 202048
6 201740
7 201239
8 202038
9 201936
10 201935
11 201832
12 202031
13 202021
14 201720
15 202014
16 202013
17 202011
18 201711
19 202011
20 201711

About Yi An

Yi An is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Epidemiology and Cell Biology, having authored 36 papers that have together received 801 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cancer-related molecular mechanisms research (4 papers), Traditional Chinese Medicine Analysis (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Cancer Research (159 citations), Molecular Medicine (43 citations), Cardiology and Cardiovascular Medicine (173 citations), Complementary and alternative medicine (59 citations) and Biomaterials (69 citations). Yi An has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include WU Yu-ling, Jianbing Zhu, Junbo Ge, Hongtao Shi, Leilei Ma, Jian Wu, Jian Li, Nan Lin, Junjie Guo and Yunzeng Zou. Their work appears in journals such as Scientific Reports, International Journal of Cardiology, Environmental Toxicology, European Journal of Pharmacology and Marine Drugs.

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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