Xiaoping Luo
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 0.5%
- Long-Term Effects of COVID-19
Papers in
- Epidemiology 36
- Hepatitis B Virus Studies 23
- Co-authors
- Qin Ning (77 shared papers)Meifang Han (25 shared papers)Hongwu Wang (18 shared papers)Di Wu (16 shared papers)Wei Guo (7 shared papers)Da Huang (7 shared papers)Haijing Yu (4 shared papers)Huilong Chen (2 shared papers)
- Journals
- Pediatric Research (11 papers)Frontiers in Endocrinology (6 papers)Pediatric Diabetes (5 papers)Hepatology International (5 papers)Advances in Therapy (4 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoping Luo
213 papers receiving 7.3k citations
Xiaoping Luo's Hit Papers
Peers
Comparison fields: 5 of 158
- Infectious Diseases 2.4k
- Neurology 1.2k
- Obstetrics and Gynecology 347
- Hepatology 282
- Immunology 738
Countries citing papers authored by Xiaoping Luo
This map shows the geographic impact of Xiaoping Luo'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 Xiaoping Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Luo more than expected).
Fields of papers citing papers by Xiaoping Luo
This network shows the impact of papers produced by Xiaoping Luo. 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 Xiaoping Luo. The network helps show where Xiaoping Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Luo, 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 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and immunological features of severe and moderate coronavirus disease 2019 Hit paper breakdown → | 2020 | 3280 |
| 2 | 2010 | 302 | |
| 3 | 2018 | 228 | |
| 4 | 2009 | 109 | |
| 5 | 2020 | 98 | |
| 6 | 2009 | 95 | |
| 7 | 2020 | 89 | |
| 8 | 2020 | 84 | |
| 9 | 1997 | 77 | |
| 10 | 1997 | 70 | |
| 11 | 2019 | 69 | |
| 12 | 2018 | 69 | |
| 13 | 2011 | 66 | |
| 14 | 2017 | 61 | |
| 15 | 2001 | 61 | |
| 16 | 2005 | 59 | |
| 17 | 2022 | 59 | |
| 18 | 2022 | 57 | |
| 19 | 1998 | 56 | |
| 20 | 2018 | 56 |
About Xiaoping Luo
Xiaoping Luo is a scholar working on Molecular Biology, Epidemiology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 228 papers that have together received 7.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (23 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Hypothalamic control of reproductive hormones (15 papers), Immune Cell Function and Interaction (14 papers), Birth, Development, and Health (13 papers), Diabetes and associated disorders (12 papers), Animal Virus Infections Studies (9 papers) and Hepatitis C virus research (9 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Neurology (1.2k citations), Obstetrics and Gynecology (347 citations), Hepatology (282 citations) and Immunology (738 citations). Xiaoping Luo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qin Ning, Meifang Han, Hongwu Wang, Di Wu, Wei Guo, Da Huang, Haijing Yu, Huilong Chen, Yong Cao and Minxia Zhang. Their work appears in journals such as Pediatric Research, Frontiers in Endocrinology, Pediatric Diabetes, Hepatology International and Advances in Therapy.
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.