Bo Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
- Oncology 66
- Cancer Immunotherapy and Biomarkers 15
- Lung Cancer Research Studies 9
- Pancreatic and Hepatic Oncology Research 8
- Co-authors
- Shunchang Jiao (14 shared papers)Feng Cao (7 shared papers)Georgette D. Kanmogne (2 shared papers)Yi Hu (16 shared papers)Yabin Wang (6 shared papers)Ruili Yu (13 shared papers)Anathbandhu Chaudhuri (1 shared paper)Howard E. Gendelman (1 shared paper)
- Journals
- Frontiers in Oncology (6 papers)Tumor Biology (4 papers)Heart (4 papers)PLoS ONE (4 papers)Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Bo Yang
205 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 531
- Immunology 690
- Oncology 861
- Geriatrics and Gerontology 119
- Molecular Biology 1.1k
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-authors
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
Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 172 | |
| 2 | 2011 | 151 | |
| 3 | 2007 | 129 | |
| 4 | 2015 | 97 | |
| 5 | 2018 | 80 | |
| 6 | 2016 | 64 | |
| 7 | 2014 | 62 | |
| 8 | 2017 | 56 | |
| 9 | Long non-coding RNA NEAT1 acts as oncogene in NSCLC by regulating the Wnt signaling pathway. | 2017 | 55 |
| 10 | 2020 | 52 | |
| 11 | 2013 | 52 | |
| 12 | 2017 | 52 | |
| 13 | 2010 | 51 | |
| 14 | 2009 | 47 | |
| 15 | 2015 | 46 | |
| 16 | 2013 | 45 | |
| 17 | 2011 | 44 | |
| 18 | 2012 | 43 | |
| 19 | 2010 | 42 | |
| 20 | 2012 | 39 |
About Bo Yang
Bo Yang is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Immunology, having authored 218 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), Immune Cell Function and Interaction (15 papers), Acute Myeloid Leukemia Research (9 papers), Lung Cancer Research Studies (9 papers), Lung Cancer Treatments and Mutations (9 papers), Cardiovascular Disease and Adiposity (8 papers), Pancreatic and Hepatic Oncology Research (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (531 citations), Immunology (690 citations), Oncology (861 citations), Geriatrics and Gerontology (119 citations) and Molecular Biology (1.1k citations). Bo Yang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Shunchang Jiao, Feng Cao, Georgette D. Kanmogne, Yi Hu, Yabin Wang, Ruili Yu, Anathbandhu Chaudhuri, Howard E. Gendelman, Yuri Persidsky and Zhiguo Rao. Their work appears in journals such as Frontiers in Oncology, Tumor Biology, Heart, PLoS ONE and Cancer Research.
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.