Yi Yan

647 citations
27 papers · 475 · h-index 13

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 1
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2

Yi Yan

27 papers receiving 470 citations

Peers

Yi Yan
Comparison fields: 5 of 84
  • Cancer Research 86
  • Cardiology and Cardiovascular Medicine 80
  • Endocrinology, Diabetes and Metabolism 53
  • Molecular Biology 215
  • Oral Surgery 15
Replace Francesca Rusconi with:
Francesca Rusconi Italy
Nabil A. Rashdan United States
Kirsty R. Greenow United Kingdom
Kensuke Tsushima Japan
Junlan Zhou China
Xueyan Guo China
Lingling Shu China
Go Nishimura Japan
Jiantong Jiao China
Yi Yan relative to Francesca Rusconi Italy Francesca Rusconi's profile →
Citations per field
00.5×3.8×
Francesca Rusconi · 1×
Citations per year

Countries citing papers authored by Yi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201578
2 202168
3 201353
4 202126
5 201126
6 202225
7 202124
8 201422
9 201621
10 201020
11 202019
12 201618
13 201814
14 202111
15 20238
16 20238
17 20147
18 20246
19 20216
20 20224

About Yi Yan

Yi Yan is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Pharmacology, having authored 27 papers that have together received 475 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Circular RNAs in diseases (2 papers), Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA modifications and cancer (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cancer Research (86 citations), Cardiology and Cardiovascular Medicine (80 citations), Endocrinology, Diabetes and Metabolism (53 citations), Molecular Biology (215 citations) and Oral Surgery (15 citations). Yi Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yulin Liao, Masafumi Kitakaze, Jianping Bin, Tetsuo Minamino, Satoru Yamazaki, Seiji Takashima, Yoshihiro Asano, Masanori Asakura, Hiroshi Asanuma and Hidetaka Kioka. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Scientific Reports, Biochemical and Biophysical Research Communications, Nature Communications and The FASEB Journal.

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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