Lisha Lai
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Liver physiology and pathology
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 7
- Liver Disease and Transplantation 4
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- Advanced Neuroimaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 3
- MRI in cancer diagnosis 2
- Co-authors
- Wensou Huang (3 shared papers)Kangshun Zhu (3 shared papers)Mingyue Cai (3 shared papers)Hong Shan (2 shared papers)Junwei Chen (4 shared papers)Xiaochun Meng (1 shared paper)Bin Zhou (1 shared paper)Xinqing Jiang (6 shared papers)
- Journals
- Radiology (2 papers)PLoS ONE (2 papers)Molecular Imaging and Biology (1 paper)European Journal of Radiology (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lisha Lai
16 papers receiving 361 citations
Peers
Comparison fields: 5 of 46
- Hepatology 235
- Radiology, Nuclear Medicine and Imaging 80
- Pathology and Forensic Medicine 59
- Epidemiology 104
- Cognitive Neuroscience 51
Countries citing papers authored by Lisha Lai
This map shows the geographic impact of Lisha Lai'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 Lisha Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Lai more than expected).
Fields of papers citing papers by Lisha Lai
This network shows the impact of papers produced by Lisha Lai. 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 Lisha Lai. The network helps show where Lisha Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha Lai, 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 | 2014 | 132 | |
| 2 | 2018 | 44 | |
| 3 | 2013 | 37 | |
| 4 | 2020 | 34 | |
| 5 | 2015 | 29 | |
| 6 | 2014 | 26 | |
| 7 | 2015 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2012 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 |
About Lisha Lai
Lisha Lai is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Epidemiology and Surgery, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Functional Brain Connectivity Studies (4 papers), Liver Disease and Transplantation (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Hepatology (235 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Pathology and Forensic Medicine (59 citations), Epidemiology (104 citations) and Cognitive Neuroscience (51 citations). Lisha Lai has collaborated with scholars based in China and United States. Frequent co-authors include Wensou Huang, Kangshun Zhu, Mingyue Cai, Hong Shan, Junwei Chen, Xiaochun Meng, Bin Zhou, Xinqing Jiang, Ruimeng Yang and Xinhua Wei. Their work appears in journals such as Radiology, PLoS ONE, Molecular Imaging and Biology, European Journal of Radiology and Cancer Imaging.
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.