Yi Luan
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Protease and Inhibitor Mechanisms
Papers in
-
- Cancer-related molecular mechanisms research 3
- Protease and Inhibitor Mechanisms 3
- MicroRNA in disease regulation 3
-
- Cardiovascular Function and Risk Factors 2
- Co-authors
- Liu C (7 shared papers)Li Ren Kong (1 shared paper)Edward A. Lin (1 shared paper)Xiuping Yu (4 shared papers)Dawei Wang (2 shared papers)Péter Lengyel (2 shared papers)Paul E. Di Cesare (2 shared papers)Ke Xu (2 shared papers)
- Journals
- Trials (3 papers)Journal of Biological Chemistry (3 papers)BMC Cardiovascular Disorders (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Lipids in Health and Disease (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Luan
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Transplantation 120
- Cancer Research 251
- Nephrology 88
- Rheumatology 153
- Immunology and Allergy 51
Countries citing papers authored by Yi Luan
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
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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 218 | |
| 2 | 2016 | 144 | |
| 3 | 2009 | 98 | |
| 4 | 2006 | 88 | |
| 5 | 2014 | 63 | |
| 6 | 2007 | 42 | |
| 7 | 2008 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 2022 | 36 | |
| 10 | 2008 | 35 | |
| 11 | 2008 | 34 | |
| 12 | 2018 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2018 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2019 | 10 |
About Yi Luan
Yi Luan is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine, Nephrology, Rheumatology and Immunology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Signaling Pathways in Disease (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Protease and Inhibitor Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Transplantation (120 citations), Cancer Research (251 citations), Nephrology (88 citations), Rheumatology (153 citations) and Immunology and Allergy (51 citations). Yi Luan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liu C, Li Ren Kong, Edward A. Lin, Xiuping Yu, Dawei Wang, Péter Lengyel, Paul E. Di Cesare, Ke Xu, Wen-Bin Zhang and Guosheng Fu. Their work appears in journals such as Trials, Journal of Biological Chemistry, BMC Cardiovascular Disorders, Frontiers in Cardiovascular Medicine and Lipids in Health and Disease.
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.