Dan Cui
Impact in
-
- Intensive Care Unit Cognitive Disorders
Papers in ⓘ
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Zongfu Mao (14 shared papers)Ying Yang (7 shared papers)Bo Zhai (13 shared papers)Lixue Huang (5 shared papers)Bin Cao (6 shared papers)Xiaoying Gu (3 shared papers)Yeming Wang (5 shared papers)Lianhan Shang (2 shared papers)
- Journals
- Scientific Reports (5 papers)PLoS ONE (4 papers)Frontiers in Public Health (3 papers)Frontiers in Pharmacology (3 papers)BMC Public Health (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dan Cui
131 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Applied Microbiology and Biotechnology 58
- Critical Care and Intensive Care Medicine 144
- Neurology 406
- Pharmacology 214
- Infectious Diseases 273
Countries citing papers authored by Dan Cui
This map shows the geographic impact of Dan Cui'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 Dan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cui more than expected).
Fields of papers citing papers by Dan Cui
This network shows the impact of papers produced by Dan Cui. 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 Dan Cui. The network helps show where Dan Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Cui, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study Hit paper breakdown → | 2022 | 354 |
| 2 | 2001 | 101 | |
| 3 | 2013 | 91 | |
| 4 | 2007 | 88 | |
| 5 | 2014 | 71 | |
| 6 | 2005 | 59 | |
| 7 | 2021 | 51 | |
| 8 | 2020 | 50 | |
| 9 | 2020 | 46 | |
| 10 | 2013 | 44 | |
| 11 | 2007 | 41 | |
| 12 | 2021 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2024 | 36 | |
| 15 | 2022 | 35 | |
| 16 | 2022 | 33 | |
| 17 | 2015 | 33 | |
| 18 | 2017 | 32 | |
| 19 | 2011 | 31 | |
| 20 | 2018 | 31 |
About Dan Cui
Dan Cui is a scholar working on Molecular Biology, Epidemiology, Neurology, Sociology and Political Science and Infectious Diseases, having authored 144 papers that have together received 2.4k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (11 papers), COVID-19 and Mental Health (9 papers), Neuroendocrine regulation and behavior (7 papers), Health disparities and outcomes (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver Disease Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (5 papers) and Pharmaceutical Economics and Policy (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (58 citations), Critical Care and Intensive Care Medicine (144 citations), Neurology (406 citations), Pharmacology (214 citations) and Infectious Diseases (273 citations). Dan Cui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zongfu Mao, Ying Yang, Bo Zhai, Lixue Huang, Bin Cao, Xiaoying Gu, Yeming Wang, Lianhan Shang, Jiachang Chi and Magang Shou. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Public Health, Frontiers in Pharmacology and BMC 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.