Lisha Jiang
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Medical Imaging and Pathology Studies 4
- Surgery 9
- Enhanced Recovery After Surgery 3
- Helicobacter pylori-related gastroenterology studies 2
- Co-authors
- Lin Li (4 shared papers)Huawei Cai (6 shared papers)Yuhao Li (2 shared papers)Yong Pi (5 shared papers)Pei Yang (4 shared papers)Zhao Zhen (4 shared papers)Jianan Wei (2 shared papers)Yi Zhang (2 shared papers)
- Journals
- Clinical Endocrinology (2 papers)Surgery (2 papers)Journal of Materials Chemistry B (2 papers)Scientific Reports (2 papers)Current Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Lisha Jiang
47 papers receiving 454 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 93
- Catalysis 23
- Endocrinology, Diabetes and Metabolism 45
- Accounting 23
Countries citing papers authored by Lisha Jiang
This map shows the geographic impact of Lisha Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Jiang more than expected).
Fields of papers citing papers by Lisha Jiang
This network shows the impact of papers produced by Lisha Jiang. 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 Jiang. The network helps show where Lisha Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha Jiang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2014 | 38 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 32 | |
| 5 | 2024 | 31 | |
| 6 | 2023 | 21 | |
| 7 | 2020 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 2013 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2025 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Lisha Jiang
Lisha Jiang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Oncology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 459 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Immune Response and Inflammation (4 papers), Medical Imaging and Pathology Studies (4 papers), Cardiac Imaging and Diagnostics (3 papers), Medical Imaging Techniques and Applications (3 papers), Enhanced Recovery After Surgery (3 papers), Cardiac tumors and thrombi (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Catalysis (23 citations), Endocrinology, Diabetes and Metabolism (45 citations) and Accounting (23 citations). Lisha Jiang has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Lin Li, Huawei Cai, Yuhao Li, Yong Pi, Pei Yang, Zhao Zhen, Jianan Wei, Yi Zhang, Guowei Che and Side Liu. Their work appears in journals such as Clinical Endocrinology, Surgery, Journal of Materials Chemistry B, Scientific Reports and Current Microbiology.
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.