Haijun Li
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Physiology top 5%
- Obstructive Sleep Apnea Research
Papers in
-
- Functional Brain Connectivity Studies 33
- Physiology 17
- Obstructive Sleep Apnea Research 16
- Co-authors
- Dechang Peng (51 shared papers)Honghan Gong (11 shared papers)Xiao Nie (6 shared papers)Xi‐jian Dai (4 shared papers)Si Nie (7 shared papers)Yi Shao (11 shared papers)Wei Zhang (4 shared papers)Chunrong Luo (7 shared papers)
- Journals
- Nature and Science of Sleep (6 papers)PLoS ONE (5 papers)Frontiers in Neuroscience (5 papers)Frontiers in Neurology (4 papers)Frontiers in Aging Neuroscience (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haijun Li
101 papers receiving 1.9k citations
Haijun Li's Hit Papers
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 575
- Physiology 300
- Neurology 36
- Experimental and Cognitive Psychology 74
- Infectious Diseases 82
Countries citing papers authored by Haijun Li
This map shows the geographic impact of Haijun Li'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 Haijun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Li more than expected).
Fields of papers citing papers by Haijun Li
This network shows the impact of papers produced by Haijun Li. 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 Haijun Li. The network helps show where Haijun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Li, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 109 | |
| 2 | 2014 | 94 | |
| 3 | 2010 | 85 | |
| 4 | 2015 | 79 | |
| 5 | 2015 | 77 | |
| 6 | 2013 | 67 | |
| 7 | 2014 | 56 | |
| 8 | 2016 | 55 | |
| 9 | Preclinical evaluation of the SARS-CoV-2 Mpro inhibitor RAY1216 shows improved pharmacokinetics compared with nirmatrelvir Hit paper breakdown → | 2024 | 54 |
| 10 | 2016 | 46 | |
| 11 | 2018 | 44 | |
| 12 | 2019 | 36 | |
| 13 | 2015 | 35 | |
| 14 | 2017 | 35 | |
| 15 | 2017 | 32 | |
| 16 | 2018 | 30 | |
| 17 | 2022 | 28 | |
| 18 | 2010 | 27 | |
| 19 | 2016 | 27 | |
| 20 | 2018 | 27 |
About Haijun Li
Haijun Li is a scholar working on Cognitive Neuroscience, Physiology, Infectious Diseases, Pharmacology and Ophthalmology, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (33 papers), Obstructive Sleep Apnea Research (16 papers), Treatment of Major Depression (5 papers), COVID-19 Clinical Research Studies (5 papers), Glaucoma and retinal disorders (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Influenza Virus Research Studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Cognitive Neuroscience (575 citations), Physiology (300 citations), Neurology (36 citations), Experimental and Cognitive Psychology (74 citations) and Infectious Diseases (82 citations). Haijun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dechang Peng, Honghan Gong, Xiao Nie, Xi‐jian Dai, Si Nie, Yi Shao, Wei Zhang, Chunrong Luo, Baoci Shan and Lin Xu. Their work appears in journals such as Nature and Science of Sleep, PLoS ONE, Frontiers in Neuroscience, Frontiers in Neurology and Frontiers in Aging Neuroscience.
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.