Li Q
Impact in
- Obstetrics and Gynecology top 2%
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
Papers in
- Epidemiology 40
- Hepatitis B Virus Studies 6
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- Childhood Cancer Survivors' Quality of Life 6
- Prenatal Screening and Diagnostics 5
- Co-authors
- Bonita Stanton (4 shared papers)Xiaoming Li (4 shared papers)Ching‐Yu Cheng (1 shared paper)Mark L. Cohen (2 shared papers)Shenandoah Robinson (2 shared papers)Anne DeChant (2 shared papers)Richard F. Silver (1 shared paper)Jerrold J. Ellner (1 shared paper)
- Journals
- AIDS and Behavior (4 papers)American Journal of Obstetrics and Gynecology (3 papers)Scientific Reports (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Q
233 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 173
- Obstetrics and Gynecology 193
- Infectious Diseases 483
- Pediatrics, Perinatology and Child Health 479
- Epidemiology 622
- Health 143
Countries citing papers authored by Li Q
This map shows the geographic impact of Li Q'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 Q with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Q more than expected).
Fields of papers citing papers by Li Q
This network shows the impact of papers produced by Li Q. 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 Q. The network helps show where Li Q may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Q, 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 252 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 289 | |
| 2 | 2010 | 167 | |
| 3 | 2006 | 138 | |
| 4 | 1998 | 119 | |
| 5 | 2012 | 110 | |
| 6 | 2008 | 102 | |
| 7 | 2009 | 102 | |
| 8 | 2008 | 91 | |
| 9 | 2007 | 88 | |
| 10 | 2005 | 81 | |
| 11 | 2009 | 75 | |
| 12 | 2000 | 72 | |
| 13 | 2002 | 71 | |
| 14 | 2021 | 62 | |
| 15 | 2011 | 62 | |
| 16 | 2009 | 61 | |
| 17 | 2015 | 58 | |
| 18 | 2018 | 55 | |
| 19 | 2003 | 54 | |
| 20 | 2021 | 52 |
About Li Q
Li Q is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Infectious Diseases, Surgery and Obstetrics and Gynecology, having authored 252 papers that have together received 3.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Hepatitis B Virus Studies (6 papers), Ovarian function and disorders (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Gestational Diabetes Research and Management (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Reproductive Biology and Fertility (6 papers) and Prenatal Screening and Diagnostics (5 papers). The work is most often cited by research in Obstetrics and Gynecology (193 citations), Infectious Diseases (483 citations), Pediatrics, Perinatology and Child Health (479 citations), Epidemiology (622 citations) and Health (143 citations). Li Q has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bonita Stanton, Xiaoming Li, Ching‐Yu Cheng, Mark L. Cohen, Shenandoah Robinson, Anne DeChant, Richard F. Silver, Jerrold J. Ellner, Bas Mijling and Jieying Ding. Their work appears in journals such as AIDS and Behavior, American Journal of Obstetrics and Gynecology, Scientific Reports, Frontiers in Cellular and Infection Microbiology and Frontiers in Public Health.
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.