Jun‐Yi Luo
Impact in
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- Acute Kidney Injury Research
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- COVID-19 Clinical Research Studies
Papers in
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- Metabolism, Diabetes, and Cancer 2
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- NF-κB Signaling Pathways 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yi‐Ning Yang (28 shared papers)Xiao‐Mei Li (18 shared papers)Fen Liu (10 shared papers)Ting Tian (7 shared papers)Bang‐Dang Chen (8 shared papers)Fen Liu (9 shared papers)Yi-Tong Ma (6 shared papers)Binbin Fang (8 shared papers)
- Journals
- BMC Cardiovascular Disorders (6 papers)Scientific Reports (4 papers)Lipids in Health and Disease (3 papers)Bioscience Reports (2 papers)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun‐Yi Luo
38 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Nephrology 24
- Infectious Diseases 49
- Cancer Research 38
- Immunology 49
- Cardiology and Cardiovascular Medicine 47
Countries citing papers authored by Jun‐Yi Luo
This map shows the geographic impact of Jun‐Yi Luo'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 Jun‐Yi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Yi Luo more than expected).
Fields of papers citing papers by Jun‐Yi Luo
This network shows the impact of papers produced by Jun‐Yi Luo. 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 Jun‐Yi Luo. The network helps show where Jun‐Yi Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Yi Luo, 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 | 2020 | 74 | |
| 2 | 2014 | 36 | |
| 3 | 2016 | 36 | |
| 4 | 2016 | 17 | |
| 5 | 2023 | 17 | |
| 6 | 2014 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 5 |
About Jun‐Yi Luo
Jun‐Yi Luo is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 368 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (5 papers), NF-κB Signaling Pathways (4 papers), Macrophage Migration Inhibitory Factor (4 papers), Cancer-related molecular mechanisms research (3 papers), Cardiac Imaging and Diagnostics (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Nephrology (24 citations), Infectious Diseases (49 citations), Cancer Research (38 citations), Immunology (49 citations) and Cardiology and Cardiovascular Medicine (47 citations). Jun‐Yi Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi‐Ning Yang, Xiao‐Mei Li, Fen Liu, Ting Tian, Bang‐Dang Chen, Fen Liu, Yi-Tong Ma, Binbin Fang, Xiang Xie and Zi-Xiang Yu. Their work appears in journals such as BMC Cardiovascular Disorders, Scientific Reports, Lipids in Health and Disease, Bioscience Reports and 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.