Yu Lun
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
Papers in
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- Aortic aneurysm repair treatments 8
- Aortic Disease and Treatment Approaches 6
- Ferroptosis and cancer prognosis 3
- Vascular Procedures and Complications 2
- Surgery 12
- Kawasaki Disease and Coronary Complications 3
- Co-authors
- Shijie Xin (24 shared papers)Jian Zhang (22 shared papers)Han Jiang (24 shared papers)Zhiquan Duan (11 shared papers)Xiaoyu Wu (9 shared papers)Shiyue Wang (12 shared papers)Song Wu (9 shared papers)Yuzhen He (9 shared papers)
- Journals
- Annals of Vascular Surgery (5 papers)International Immunopharmacology (5 papers)Journal of Cellular and Molecular Medicine (2 papers)Aging (2 papers)Journal of Vascular Surgery (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yu Lun
56 papers receiving 853 citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 191
- Immunology 118
- Pulmonary and Respiratory Medicine 147
- Cancer Research 69
- Internal Medicine 13
Countries citing papers authored by Yu Lun
This map shows the geographic impact of Yu Lun'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 Yu Lun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Lun more than expected).
Fields of papers citing papers by Yu Lun
This network shows the impact of papers produced by Yu Lun. 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 Yu Lun. The network helps show where Yu Lun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Lun, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 116 | |
| 2 | 2020 | 85 | |
| 3 | 2014 | 76 | |
| 4 | 2013 | 45 | |
| 5 | 2014 | 42 | |
| 6 | 2014 | 31 | |
| 7 | 2018 | 28 | |
| 8 | 2022 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2015 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 16 |
About Yu Lun
Yu Lun is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Oncology and Immunology, having authored 59 papers that have together received 866 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ferroptosis and cancer prognosis (3 papers), Kawasaki Disease and Coronary Complications (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Vascular Procedures and Complications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Immunology (118 citations), Pulmonary and Respiratory Medicine (147 citations), Cancer Research (69 citations) and Internal Medicine (13 citations). Yu Lun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shijie Xin, Jian Zhang, Han Jiang, Zhiquan Duan, Xiaoyu Wu, Shiyue Wang, Song Wu, Yuzhen He, Yanshuo Han and Jianjian Sun. Their work appears in journals such as Annals of Vascular Surgery, International Immunopharmacology, Journal of Cellular and Molecular Medicine, Aging and Journal of Vascular Surgery.
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.