Bo Yang
- Infectious Diseases top 0.01%
- COVID-19 Clinical Research Studies 17
- SARS-CoV-2 and COVID-19 Research 10
- Modeling and Simulation top 0.05%
- Neurology top 0.1%
- Long-Term Effects of COVID-19 8
- General Dentistry top 0.2%
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- RNA modifications and cancer 10
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 7
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- Organ Transplantation Techniques and Outcomes 9
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- Liver Disease Diagnosis and Treatment 6
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Bo Yang
190 papers receiving 24.8k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Infectious Diseases 15.1k
- Modeling and Simulation 2.0k
- Neurology 5.4k
- General Dentistry 426
- Critical Care and Intensive Care Medicine 715
Countries citing papers authored by Bo Yang
This map shows the geographic impact of Bo Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Yang more than expected).
Fields of papers citing papers by Bo Yang
This network shows the impact of papers produced by Bo Yang. 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 Yang. The network helps show where Bo Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Yang, 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 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 43 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 8 | |
| 14 | Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019breakdown → | 2020 | 693 |
| 15 | 2020 | 8 | |
| 16 | M2 macrophage infiltration into tumor islets leads to poor prognosis in non-small-cell lung cancer | 2019 | 3 |
| 17 | 2019 | 15 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 2 | |
| 20 | 2013 | 6 |
About Bo Yang
Bo Yang is a scholar working on Transplantation, Cancer Research, Infectious Diseases, Hepatology and Oncology, having authored 200 papers that have together received 25.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (17 papers), RNA modifications and cancer (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Cancer-related molecular mechanisms research (10 papers), Organ Transplantation Techniques and Outcomes (9 papers), Long-Term Effects of COVID-19 (8 papers), MicroRNA in disease regulation (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (15.1k citations), Modeling and Simulation (2.0k citations), Neurology (5.4k citations), General Dentistry (426 citations) and Critical Care and Intensive Care Medicine (715 citations). Bo Yang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Wen‐Ching Wang, Jingdong Song, Dingyu Zhang, Wenjie Tan, Baoying Huang, Xingwang Li, Wenbo Xu, Na Zhu, Roujian Lu and Dayan Wang. Their work appears in journals such as Medicine, International Immunopharmacology, Aging, Frontiers in Oncology and Scientific 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.