Hengrui Liang
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 12
- Infectious Diseases top 0.5%
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- Lung Cancer Diagnosis and Treatment 34
- Lung Cancer Treatments and Mutations 31
- Pleural and Pulmonary Diseases 10
- Neurology top 2%
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- Radiomics and Machine Learning in Medical Imaging 10
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- Cancer Genomics and Diagnostics 10
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- Airway Management and Intubation Techniques 10
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- Transplantation: Methods and Outcomes 8
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Clinical Oncology (3 papers)ACS Nano (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hengrui Liang
114 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Oncology 3.1k
- Infectious Diseases 1.9k
- Pulmonary and Respiratory Medicine 1.4k
- Neurology 541
- Radiology, Nuclear Medicine and Imaging 683
Countries citing papers authored by Hengrui Liang
This map shows the geographic impact of Hengrui Liang'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 Hengrui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hengrui Liang more than expected).
Fields of papers citing papers by Hengrui Liang
This network shows the impact of papers produced by Hengrui Liang. 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 Hengrui Liang. The network helps show where Hengrui Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hengrui Liang, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 24 | |
| 6 | Global cancer statistics for adolescents and young adults: population based studybreakdown → | 2024 | 41 |
| 7 | 2024 | 10 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 27 | |
| 20 | 2018 | 4 |
About Hengrui Liang
Hengrui Liang is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Oncology, having authored 129 papers that have together received 5.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (34 papers), Lung Cancer Treatments and Mutations (31 papers), Cancer Immunotherapy and Biomarkers (12 papers), Cancer Genomics and Diagnostics (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Airway Management and Intubation Techniques (10 papers), Pleural and Pulmonary Diseases (10 papers) and Transplantation: Methods and Outcomes (8 papers). The work is most often cited by research in Oncology (3.1k citations), Infectious Diseases (1.9k citations) and Pulmonary and Respiratory Medicine (1.4k citations). Hengrui Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianxing He, Wenhua Liang, Caichen Li, Wei‐jie Guan, Wei Wang, Jianfu Li, Ke Xu, Qing Ai, Weixiang Lu and Shiyue Li. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and ACS Nano.
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.