Shiting Li
Impact in
- Pathology and Forensic Medicine top 0.5%
- Trigeminal Neuralgia and Treatments
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Trigeminal Neuralgia and Treatments 113
- Neurology 33
- Facial Nerve Paralysis Treatment and Research 15
- Vascular Malformations Diagnosis and Treatment 5
- Co-authors
- Jun Zhong (57 shared papers)Jin Zhu (38 shared papers)Xuhui Wang (31 shared papers)Tingting Ying (37 shared papers)Yinda Tang (54 shared papers)Ning-Ning Dou (28 shared papers)Xuesheng Zheng (28 shared papers)Wenchuan Zhang (24 shared papers)
- Journals
- World Neurosurgery (30 papers)Journal of Craniofacial Surgery (28 papers)Acta Neurochirurgica (15 papers)Neurological Research (11 papers)Neurosurgical Review (6 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Shiting Li
204 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 109
- Pathology and Forensic Medicine 2.1k
- Cancer Research 427
- Oral Surgery 150
- Neurology 312
- Genetics 193
Countries citing papers authored by Shiting Li
This map shows the geographic impact of Shiting 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 Shiting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiting Li more than expected).
Fields of papers citing papers by Shiting Li
This network shows the impact of papers produced by Shiting 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 Shiting Li. The network helps show where Shiting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiting 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 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 306 | |
| 2 | 2015 | 204 | |
| 3 | 2012 | 108 | |
| 4 | 2011 | 102 | |
| 5 | 2020 | 98 | |
| 6 | 2014 | 95 | |
| 7 | 2004 | 94 | |
| 8 | 2014 | 93 | |
| 9 | 2011 | 76 | |
| 10 | 2011 | 75 | |
| 11 | 2016 | 73 | |
| 12 | 2011 | 71 | |
| 13 | 2005 | 62 | |
| 14 | 2008 | 60 | |
| 15 | 2015 | 57 | |
| 16 | 2010 | 55 | |
| 17 | 2012 | 54 | |
| 18 | 2011 | 50 | |
| 19 | 2018 | 49 | |
| 20 | 2010 | 48 |
About Shiting Li
Shiting Li is a scholar working on Pathology and Forensic Medicine, Neurology, Genetics, Cancer Research and Cellular and Molecular Neuroscience, having authored 214 papers that have together received 4.4k indexed citations. Recurring topics across this work include Trigeminal Neuralgia and Treatments (113 papers), Facial Nerve Paralysis Treatment and Research (15 papers), Glioma Diagnosis and Treatment (11 papers), Nerve injury and regeneration (6 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Meningioma and schwannoma management (5 papers), Mesenchymal stem cell research (5 papers) and Peripheral Nerve Disorders (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Cancer Research (427 citations), Oral Surgery (150 citations), Neurology (312 citations) and Genetics (193 citations). Shiting Li has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Jun Zhong, Jin Zhu, Xuhui Wang, Tingting Ying, Yinda Tang, Ning-Ning Dou, Xuesheng Zheng, Wenchuan Zhang, Ping Gao and Linchong Sun. Their work appears in journals such as World Neurosurgery, Journal of Craniofacial Surgery, Acta Neurochirurgica, Neurological Research and Neurosurgical Review.
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.