Junyi Liu
Impact in
- Biological Psychiatry top 10%
- Economics and Econometrics top 5%
- COVID-19 Pandemic Impacts
- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
Papers in
-
- HIV/AIDS drug development and treatment 16
- Co-authors
- Qing He (8 shared papers)Jishuang Yu (3 shared papers)Sizhu Wang (2 shared papers)Chun‐Feng Liu (15 shared papers)Ruopeng An (6 shared papers)Xiaowei Wang (17 shared papers)Fen Wang (7 shared papers)Chengjie Mao (10 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (3 papers)Translational Neurodegeneration (2 papers)Organic & Biomolecular Chemistry (2 papers)Neuroscience Bulletin (2 papers)SLEEP (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junyi Liu
81 papers receiving 1.4k citations
Junyi Liu's Hit Papers
Peers
Comparison fields: 5 of 149
- Biological Psychiatry 35
- Economics and Econometrics 305
- Modeling and Simulation 50
- Endocrine and Autonomic Systems 63
- Finance 96
Countries citing papers authored by Junyi Liu
This map shows the geographic impact of Junyi Liu'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 Junyi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Liu more than expected).
Fields of papers citing papers by Junyi Liu
This network shows the impact of papers produced by Junyi Liu. 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 Junyi Liu. The network helps show where Junyi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Liu, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 277 | |
| 2 | 2019 | 109 | |
| 3 | Circadian disruption and sleep disorders in neurodegeneration Hit paper breakdown → | 2023 | 90 |
| 4 | 2021 | 71 | |
| 5 | 2021 | 54 | |
| 6 | 2017 | 54 | |
| 7 | 2023 | 42 | |
| 8 | 2021 | 41 | |
| 9 | 2007 | 39 | |
| 10 | 2017 | 37 | |
| 11 | 2021 | 36 | |
| 12 | 2017 | 33 | |
| 13 | 2017 | 31 | |
| 14 | 2021 | 31 | |
| 15 | 2023 | 27 | |
| 16 | 2018 | 23 | |
| 17 | 2016 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2019 | 22 | |
| 20 | 2013 | 21 |
About Junyi Liu
Junyi Liu is a scholar working on Infectious Diseases, Molecular Biology, Virology, Neurology and Economics and Econometrics, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (16 papers), HIV Research and Treatment (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Click Chemistry and Applications (4 papers), Sleep and Wakefulness Research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Circadian rhythm and melatonin (3 papers) and Risk Management in Financial Firms (3 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Economics and Econometrics (305 citations), Modeling and Simulation (50 citations), Endocrine and Autonomic Systems (63 citations) and Finance (96 citations). Junyi Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qing He, Jishuang Yu, Sizhu Wang, Chun‐Feng Liu, Ruopeng An, Xiaowei Wang, Fen Wang, Chengjie Mao, Jing Shen and Jennifer McCaffrey. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Translational Neurodegeneration, Organic & Biomolecular Chemistry, Neuroscience Bulletin and SLEEP.
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.