Lianwang Li
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 6
-
- Functional Brain Connectivity Studies 3
- Co-authors
- Xing Fan (14 shared papers)Runting Li (6 shared papers)Chuanbao Zhang (5 shared papers)Shaowu Li (1 shared paper)Kai Wang (1 shared paper)Zenghui Qian (2 shared papers)Yiming Li (1 shared paper)Yinyan Wang (14 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Cancer Letters (2 papers)Journal of Neuro-Oncology (2 papers)Human Brain Mapping (2 papers)CNS Neuroscience & Therapeutics (2 papers)
- Partner nations
- China
In The Last Decade
Lianwang Li
19 papers receiving 338 citations
Peers
Comparison fields: 5 of 50
- Genetics 126
- Radiology, Nuclear Medicine and Imaging 105
- Health Informatics 6
- Neurology 22
- Endocrinology, Diabetes and Metabolism 43
Countries citing papers authored by Lianwang Li
This map shows the geographic impact of Lianwang 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 Lianwang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianwang Li more than expected).
Fields of papers citing papers by Lianwang Li
This network shows the impact of papers produced by Lianwang 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 Lianwang Li. The network helps show where Lianwang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lianwang 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2021 | 52 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Lianwang Li
Lianwang Li is a scholar working on Genetics, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 339 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (3 papers), Functional Brain Connectivity Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epilepsy research and treatment (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Soft tissue tumor case studies (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (126 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Health Informatics (6 citations), Neurology (22 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Lianwang Li has collaborated with scholars based in China. Frequent co-authors include Xing Fan, Runting Li, Chuanbao Zhang, Shaowu Li, Kai Wang, Zenghui Qian, Yiming Li, Yinyan Wang, Baoshi Chen and Wenbin Li. Their work appears in journals such as Frontiers in Oncology, Cancer Letters, Journal of Neuro-Oncology, Human Brain Mapping and CNS Neuroscience & Therapeutics.
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.