Bo Long
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Surgery 6
- Anesthesia and Pain Management 3
- Hemodynamic Monitoring and Therapy 1
- Co-authors
- He Lin (1 shared paper)Bo Gong (1 shared paper)Zhenglin Yang (1 shared paper)Xuemei Chen (1 shared paper)Lingxi Jiang (1 shared paper)Guo Si (1 shared paper)Chunbao Xie (1 shared paper)Xingxiang Yang (1 shared paper)
- Journals
- The American Surgeon (1 paper)Gene (1 paper)Anesthesia & Analgesia (1 paper)Frontiers in Endocrinology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bo Long
13 papers receiving 348 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 192
- Modeling and Simulation 16
- General Dentistry 5
- Critical Care and Intensive Care Medicine 13
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Bo Long
This map shows the geographic impact of Bo Long'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 Bo Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Long more than expected).
Fields of papers citing papers by Bo Long
This network shows the impact of papers produced by Bo Long. 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 Bo Long. The network helps show where Bo Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Long, 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 | 2020 | 247 | |
| 2 | 2015 | 51 | |
| 3 | 2017 | 9 | |
| 4 | Gpc-3 is a notable diagnostic, prognostic and a latent targeted therapy marker in hepatocellular carcinoma. | 2011 | 9 |
| 5 | 2020 | 8 | |
| 6 | 2019 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 |
About Bo Long
Bo Long is a scholar working on Surgery, Molecular Biology, Anesthesiology and Pain Medicine, Infectious Diseases and Pathology and Forensic Medicine, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (3 papers), Pain Management and Opioid Use (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Spine and Intervertebral Disc Pathology (1 paper), MicroRNA in disease regulation (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Blood transfusion and management (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Infectious Diseases (192 citations), Modeling and Simulation (16 citations), General Dentistry (5 citations), Critical Care and Intensive Care Medicine (13 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Bo Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include He Lin, Bo Gong, Zhenglin Yang, Xuemei Chen, Lingxi Jiang, Guo Si, Chunbao Xie, Xingxiang Yang, Yi Shi and Guo Huang. Their work appears in journals such as The American Surgeon, Gene, Anesthesia & Analgesia, Frontiers in Endocrinology and International Journal of Infectious Diseases.
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.