Jun Lyu
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
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- Intensive Care Unit Cognitive Disorders
Papers in ⓘ
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- Intensive Care Unit Cognitive Disorders 21
- Nephrology 21
- Co-authors
- Hairong He (31 shared papers)Qingqing Liu (19 shared papers)Fanfan Zhao (25 shared papers)Xiaojie Feng (25 shared papers)Yang Jin (3 shared papers)Aozi Feng (23 shared papers)Tao Huang (38 shared papers)Shuai Zheng (37 shared papers)
- Journals
- Frontiers in Medicine (15 papers)Frontiers in Pharmacology (11 papers)Cancer Control (9 papers)Cancer Medicine (8 papers)Frontiers in Cardiovascular Medicine (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Lyu
315 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Biological Psychiatry 210
- Critical Care and Intensive Care Medicine 268
- Oncology 1.1k
- Nephrology 286
- Otorhinolaryngology 166
Countries citing papers authored by Jun Lyu
This map shows the geographic impact of Jun Lyu'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 Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lyu more than expected).
Fields of papers citing papers by Jun Lyu
This network shows the impact of papers produced by Jun Lyu. 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 Lyu. The network helps show where Jun Lyu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lyu, 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 353 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study Hit paper breakdown → | 2019 | 926 |
| 2 | Brief introduction of medical database and data mining technology in big data era Hit paper breakdown → | 2020 | 369 |
| 3 | Data mining in clinical big data: the frequently used databases, steps, and methodological models Hit paper breakdown → | 2021 | 327 |
| 4 | 2020 | 217 | |
| 5 | 2020 | 215 | |
| 6 | 2020 | 175 | |
| 7 | 2020 | 167 | |
| 8 | 2020 | 131 | |
| 9 | 2020 | 123 | |
| 10 | 2022 | 98 | |
| 11 | 2020 | 92 | |
| 12 | 2015 | 90 | |
| 13 | 2019 | 83 | |
| 14 | 2020 | 75 | |
| 15 | 2022 | 68 | |
| 16 | 2021 | 66 | |
| 17 | 2023 | 64 | |
| 18 | 2020 | 59 | |
| 19 | 2023 | 58 | |
| 20 | 2022 | 55 |
About Jun Lyu
Jun Lyu is a scholar working on Critical Care and Intensive Care Medicine, Nephrology, Oncology, Epidemiology and Geriatrics and Gerontology, having authored 353 papers that have together received 6.5k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (47 papers), Intensive Care Unit Cognitive Disorders (21 papers), Hemodynamic Monitoring and Therapy (16 papers), Colorectal Cancer Screening and Detection (15 papers), Pancreatic and Hepatic Oncology Research (14 papers), Global Cancer Incidence and Screening (13 papers), Nutritional Studies and Diet (13 papers) and Respiratory Support and Mechanisms (11 papers). The work is most often cited by research in Biological Psychiatry (210 citations), Critical Care and Intensive Care Medicine (268 citations), Oncology (1.1k citations), Nephrology (286 citations) and Otorhinolaryngology (166 citations). Jun Lyu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hairong He, Qingqing Liu, Fanfan Zhao, Xiaojie Feng, Yang Jin, Aozi Feng, Tao Huang, Shuai Zheng, Li Li and Jin Yang. Their work appears in journals such as Frontiers in Medicine, Frontiers in Pharmacology, Cancer Control, Cancer Medicine 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.