Lingli Gui
Impact in
- Developmental Neuroscience top 10%
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Ubiquitin and proteasome pathways 2
-
- Anesthesia and Neurotoxicity Research 3
- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Peng Wu (6 shared papers)Yifan Meng (3 shared papers)Wencheng Ding (4 shared papers)Qin Yu (2 shared papers)Haiying Sun (1 shared paper)Wanrong Lu (1 shared paper)Liang Huang (2 shared papers)Ping Wu (1 shared paper)
- Journals
- BMC Anesthesiology (2 papers)Infection Genetics and Evolution (1 paper)Bioscience Reports (1 paper)Brain Research (1 paper)Neuroreport (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingli Gui
20 papers receiving 597 citations
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 42
- Infectious Diseases 187
- Clinical Psychology 195
- Obstetrics and Gynecology 57
- Neurology 106
Countries citing papers authored by Lingli Gui
This map shows the geographic impact of Lingli Gui'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 Lingli Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Gui more than expected).
Fields of papers citing papers by Lingli Gui
This network shows the impact of papers produced by Lingli Gui. 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 Lingli Gui. The network helps show where Lingli Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli Gui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 229 | |
| 2 | 2020 | 107 | |
| 3 | 2020 | 96 | |
| 4 | 2017 | 39 | |
| 5 | 2009 | 22 | |
| 6 | 2009 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2018 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2008 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2007 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2007 | 1 |
About Lingli Gui
Lingli Gui is a scholar working on Molecular Biology, Developmental Neuroscience, Oncology, Infectious Diseases and Clinical Psychology, having authored 20 papers that have together received 608 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (3 papers), Anesthesia and Sedative Agents (3 papers), COVID-19 and Mental Health (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (42 citations), Infectious Diseases (187 citations), Clinical Psychology (195 citations), Obstetrics and Gynecology (57 citations) and Neurology (106 citations). Lingli Gui has collaborated with scholars based in China and United States. Frequent co-authors include Peng Wu, Yifan Meng, Wencheng Ding, Qin Yu, Haiying Sun, Wanrong Lu, Liang Huang, Ping Wu, Hong Zhang and Kui Liu. Their work appears in journals such as BMC Anesthesiology, Infection Genetics and Evolution, Bioscience Reports, Brain Research and Neuroreport.
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.