Yi Luan

1.2k citations
41 papers · 782 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Protease and Inhibitor Mechanisms
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

Yi Luan

39 papers receiving 771 citations

Peers

Yi Luan
Comparison fields: 5 of 80
  • Cancer Research 271
  • Rheumatology 151
  • Immunology and Allergy 59
  • Nephrology 44
  • Otorhinolaryngology 25
Replace Solène Evrard with:
Solène Evrard France
Petra Reusch Germany
Andreea M. Bujor United States
Kelly J. Gordon United States
Sandrine Théoleyre France
Yukihiro Endo Japan
Jason K. Lee United States
Shanna A. Arnold United States
Gabrielle S. Wong United States
Maj Petersen Denmark
Yi Luan relative to Solène Evrard France Solène Evrard's profile →
Citations per field
00.5×4.4×
Solène Evrard · 1×
Citations per year

Countries citing papers authored by Yi Luan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009211
2 200992
3 200684
4 200742
5 200836
6 200834
7 200833
8 201933
9 202231
10 201818
11 202117
12 201815
13 202012
14 202112
15 202012
16 201910
17 201810
18 20219
19 20238
20 20207

About Yi Luan

Yi Luan is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 782 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Coronary Interventions and Diagnostics (8 papers), Acute Myocardial Infarction Research (5 papers), MicroRNA in disease regulation (4 papers), Cardiovascular Function and Risk Factors (4 papers), Protease and Inhibitor Mechanisms (4 papers), Signaling Pathways in Disease (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cancer Research (271 citations), Rheumatology (151 citations), Immunology and Allergy (59 citations), Nephrology (44 citations) and Otorhinolaryngology (25 citations). Yi Luan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liu C, Xiaohui Bai, Edward Lin, Li Ren Kong, Xiuping Yu, Dawei Wang, Wenbin Zhang, Péter Lengyel, Ke Xu and Paul E. Di Cesare. Their work appears in journals such as Journal of Biological Chemistry, Trials, BMC Cardiovascular Disorders, Lipids in Health and Disease and Frontiers in Cardiovascular 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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