Hanbo Le
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
Papers in
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- Lung Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 7
- Oncology 8
- Lung Cancer Research Studies 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Yongkui Zhang (20 shared papers)Wangyu Zhu (14 shared papers)Jian-Ying He (5 shared papers)Dongdong Chen (3 shared papers)Yanyan Huang (6 shared papers)Liyun Xu (6 shared papers)Haijie Ma (3 shared papers)Xiaoguang Liu (3 shared papers)
In The Last Decade
Hanbo Le
28 papers receiving 769 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 389
- Molecular Biology 394
- Oncology 143
- Immunology 102
- Pulmonary and Respiratory Medicine 115
Countries citing papers authored by Hanbo Le
This map shows the geographic impact of Hanbo Le'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 Hanbo Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbo Le more than expected).
Fields of papers citing papers by Hanbo Le
This network shows the impact of papers produced by Hanbo Le. 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 Hanbo Le. The network helps show where Hanbo Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanbo Le, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2016 | 118 | |
| 3 | 2012 | 116 | |
| 4 | 2013 | 70 | |
| 5 | 2012 | 57 | |
| 6 | 2018 | 55 | |
| 7 | 2015 | 33 | |
| 8 | 2017 | 23 | |
| 9 | 2014 | 19 | |
| 10 | 2013 | 18 | |
| 11 | The role of mitochondrial tRNA mutations in lung cancer. | 2015 | 15 |
| 12 | 2020 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 9 |
About Hanbo Le
Hanbo Le is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 29 papers that have together received 776 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (7 papers), MicroRNA in disease regulation (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Research Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Galectins and Cancer Biology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (389 citations), Molecular Biology (394 citations), Oncology (143 citations), Immunology (102 citations) and Pulmonary and Respiratory Medicine (115 citations). Hanbo Le has collaborated with scholars based in China and Austria. Frequent co-authors include Yongkui Zhang, Wangyu Zhu, Jian-Ying He, Dongdong Chen, Yanyan Huang, Liyun Xu, Haijie Ma, Xiaoguang Liu, Xiaoguang Liu and Binjie Zhang. Their work appears in journals such as Disease Markers, PLoS ONE, International Immunopharmacology, Translational Lung Cancer Research and BMB Reports.
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.