Ye Lu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Ferroptosis and cancer prognosis
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 3
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 2
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 6
- Co-authors
- Li Cui (10 shared papers)Xinyuan Zhao (2 shared papers)Zizhao Mai (6 shared papers)Yuanyuan Liu (6 shared papers)Xiaojing Meng (4 shared papers)Xinyuan Zhao (5 shared papers)Yunfan Lin (8 shared papers)Hangming Dong (3 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)The FASEB Journal (2 papers)Advanced Science (1 paper)International Immunopharmacology (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ye Lu
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 85
- Pulmonary and Respiratory Medicine 107
- Molecular Biology 184
- Genetics 18
- Immunology 34
Countries citing papers authored by Ye Lu
This map shows the geographic impact of Ye Lu'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 Ye Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Lu more than expected).
Fields of papers citing papers by Ye Lu
This network shows the impact of papers produced by Ye Lu. 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 Ye Lu. The network helps show where Ye Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Lu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 69 | |
| 2 | 2022 | 64 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 27 | |
| 6 | 2024 | 21 | |
| 7 | 2023 | 20 | |
| 8 | 2024 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ye Lu
Ye Lu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Epidemiology, having authored 21 papers that have together received 367 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA and protein synthesis mechanisms (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Cancer Research (85 citations), Pulmonary and Respiratory Medicine (107 citations), Molecular Biology (184 citations), Genetics (18 citations) and Immunology (34 citations). Ye Lu has collaborated with scholars based in China and United States. Frequent co-authors include Li Cui, Xinyuan Zhao, Zizhao Mai, Yuanyuan Liu, Xiaojing Meng, Xinyuan Zhao, Yunfan Lin, Hangming Dong, Yujie Qiao and Yucheng Zheng. Their work appears in journals such as Frontiers in Pharmacology, The FASEB Journal, Advanced Science, International Immunopharmacology and Stem Cell Research & Therapy.
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.