Huling Li
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- RNA modifications and cancer 3
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Kai Wang (6 shared papers)Zhihang Peng (3 shared papers)Hua Yao (1 shared paper)Zhen Guo (6 shared papers)Xiao‐Dong Hu (6 shared papers)Zhan‐Wei Suo (6 shared papers)Xian Yang (5 shared papers)He Huang (1 shared paper)
- Journals
- European Journal of Pharmacology (2 papers)JAMA Network Open (1 paper)Acta Pharmaceutica Sinica B (1 paper)Scientific Reports (1 paper)Neuroscience (1 paper)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Huling Li
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 112
- Health Information Management 18
- Infectious Diseases 61
- Cellular and Molecular Neuroscience 38
- Physiology 45
Countries citing papers authored by Huling Li
This map shows the geographic impact of Huling Li'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 Huling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huling Li more than expected).
Fields of papers citing papers by Huling Li
This network shows the impact of papers produced by Huling Li. 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 Huling Li. The network helps show where Huling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Huling Li, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 60 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 24 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2009 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2018 | 4 |
About Huling Li
Huling Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Modeling and Simulation and Physiology, having authored 26 papers that have together received 370 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (4 papers), Pain Mechanisms and Treatments (4 papers), Neuropeptides and Animal Physiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Data-Driven Disease Surveillance (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Modeling and Simulation (112 citations), Health Information Management (18 citations), Infectious Diseases (61 citations), Cellular and Molecular Neuroscience (38 citations) and Physiology (45 citations). Huling Li has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Kai Wang, Zhihang Peng, Hua Yao, Zhen Guo, Xiao‐Dong Hu, Zhan‐Wei Suo, Xian Yang, He Huang, Changxiao Liu and Zhibin Hu. Their work appears in journals such as European Journal of Pharmacology, JAMA Network Open, Acta Pharmaceutica Sinica B, Scientific Reports and Neuroscience.
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.