Li Lu
Impact in
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- Sleep and related disorders
- Biological Psychiatry top 5%
Papers in
- Epidemiology 35
- Herpesvirus Infections and Treatments 12
- Virology and Viral Diseases 9
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- Suicide and Self-Harm Studies 8
- Co-authors
- Yu‐Tao Xiang (29 shared papers)Gábor S. Ungvári (29 shared papers)Thérèse Hesketh (6 shared papers)Chee H. Ng (24 shared papers)Zhu Xing (2 shared papers)Yao Sun (7 shared papers)Karl T. Weber (3 shared papers)Mark T. Quinn (2 shared papers)
In The Last Decade
Li Lu
178 papers receiving 4.8k citations
Li Lu's Hit Papers
Peers
Comparison fields: 5 of 180
- Experimental and Cognitive Psychology 759
- Biological Psychiatry 109
- Clinical Psychology 910
- Health 352
- Gender Studies 360
Countries citing papers authored by Li Lu
This map shows the geographic impact of Li 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 Li Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lu more than expected).
Fields of papers citing papers by Li Lu
This network shows the impact of papers produced by Li 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 Li Lu. The network helps show where Li Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 491 | |
| 2 | 2005 | 380 | |
| 3 | The prevalence of insomnia in the general population in China: A meta-analysis Hit paper breakdown → | 2017 | 301 |
| 4 | 2018 | 164 | |
| 5 | Development and psychometric tests of a Chinese version of the SF-36 Health Survey Scales. | 2002 | 160 |
| 6 | 2018 | 144 | |
| 7 | 2018 | 133 | |
| 8 | 2018 | 132 | |
| 9 | 2018 | 107 | |
| 10 | 2018 | 105 | |
| 11 | 2003 | 105 | |
| 12 | 2019 | 100 | |
| 13 | 2021 | 92 | |
| 14 | 2021 | 86 | |
| 15 | 2019 | 80 | |
| 16 | 2011 | 77 | |
| 17 | 2019 | 74 | |
| 18 | 2004 | 71 | |
| 19 | 2019 | 66 | |
| 20 | 2017 | 58 |
About Li Lu
Li Lu is a scholar working on Epidemiology, Clinical Psychology, Cardiology and Cardiovascular Medicine, Health and Genetics, having authored 196 papers that have together received 4.9k indexed citations. Recurring topics across this work include Sleep and related disorders (14 papers), Herpesvirus Infections and Treatments (12 papers), Cleft Lip and Palate Research (11 papers), Sleep and Work-Related Fatigue (11 papers), Health disparities and outcomes (10 papers), Virology and Viral Diseases (9 papers), Suicide and Self-Harm Studies (8 papers) and Craniofacial Disorders and Treatments (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (759 citations), Biological Psychiatry (109 citations), Clinical Psychology (910 citations), Health (352 citations) and Gender Studies (360 citations). Li Lu has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Yu‐Tao Xiang, Gábor S. Ungvári, Thérèse Hesketh, Chee H. Ng, Zhu Xing, Yao Sun, Karl T. Weber, Mark T. Quinn, Jiakun Zhang and Min Dong. Their work appears in journals such as Vaccine, Journal of Affective Disorders, Medicine, International Journal for Equity in Health and Human Vaccines & Immunotherapeutics.
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.