Xinhui Li
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- James C. EisenachQingyuan WuLanxiang LiuRuozhi DangJianting ZhaoMingyang WangJulio LicínioPing Ji
- Topics
- Pain Mechanisms and Treatments (10 papers)Functional Brain Connectivity Studies (6 papers)Retinal Imaging and Analysis (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xinhui Li
50 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 450
- Physiology 214
- Cellular and Molecular Neuroscience 167
- Radiology, Nuclear Medicine and Imaging 133
- Pulmonary and Respiratory Medicine 127
Countries citing papers authored by Xinhui Li
This map shows the geographic impact of Xinhui 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 Xinhui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinhui Li more than expected).
Fields of papers citing papers by Xinhui Li
This network shows the impact of papers produced by Xinhui 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 Xinhui Li. The network helps show where Xinhui Li may publish in the future.
Co-authorship network of co-authors of Xinhui Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xinhui Li. A scholar is included among the top collaborators of Xinhui Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinhui Li. Xinhui Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 11 | |
| 5 | 43 | |
| 6 | 13 | |
| 7 | Edaravone ameliorates depressive and anxiety-like behaviors via Sirt1/Nrf2/HO-1/Gpx4 pathwaybreakdown → | 356 |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | Evaluating the transferability of deep learning models that distinguish glaucomatous from non-glaucomatous OCT circumpapillary disc scans | 1 |
| 13 | Assessing the Ability of Convolutional Neural Networks to Detect Glaucoma from OCT Probability Maps | 1 |
| 14 | 2 | |
| 15 | Investigation and analysis on the post setting and advanced nursing practice status of specialist nurses in four tertiary grade A hospitals in Xinjiang | 1 |
| 16 | 43 | |
| 17 | 14 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | 53 |
About Xinhui Li
Xinhui Li is a scholar working on Physiology, Neurology and Ophthalmology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Functional Brain Connectivity Studies (6 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Biological Psychiatry (97 citations), Physiology (100 citations) and Neurology (105 citations). Xinhui Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include James C. Eisenach, Qingyuan Wu, Lanxiang Liu, Ruozhi Dang, Jianting Zhao, Mingyang Wang, Julio Licínio, Ping Ji, Lianmei Zhong and Peng Xie. Their work appears in journals such as NeuroImage, Biological Psychiatry and Biochemical and Biophysical Research Communications.
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.