Bo Wang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 11
- Genomics, phytochemicals, and oxidative stress 9
- RNA Research and Splicing 8
- Oncology 66
- Cancer-related Molecular Pathways 8
- Co-authors
- Denver T. Hendricks (2 shared papers)M. Iqbal Parker (2 shared papers)Kou‐Gi Shyu (3 shared papers)Fred Wamunyokoli (1 shared paper)P Kuan (2 shared papers)Qing Yang (4 shared papers)Guoying Dong (3 shared papers)Jichun Han (6 shared papers)
- Journals
- Scientific Reports (7 papers)Frontiers in Immunology (6 papers)Biochemical and Biophysical Research Communications (6 papers)The Journal of Immunology (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bo Wang
286 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 145
- Cancer Research 1.1k
- Oncology 1.4k
- Immunology 1.1k
- Molecular Biology 3.0k
- Cell Biology 602
Countries citing papers authored by Bo Wang
This map shows the geographic impact of Bo Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Wang more than expected).
Fields of papers citing papers by Bo Wang
This network shows the impact of papers produced by Bo Wang. 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 Wang. The network helps show where Bo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Wang, 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 298 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2017 | 146 | |
| 3 | 2006 | 145 | |
| 4 | 2019 | 132 | |
| 5 | 2021 | 128 | |
| 6 | 2009 | 127 | |
| 7 | 2015 | 121 | |
| 8 | 2019 | 111 | |
| 9 | 2018 | 107 | |
| 10 | 2013 | 107 | |
| 11 | 2020 | 97 | |
| 12 | 2000 | 95 | |
| 13 | 2005 | 92 | |
| 14 | 2003 | 90 | |
| 15 | 2014 | 80 | |
| 16 | 2022 | 79 | |
| 17 | 2019 | 74 | |
| 18 | 2020 | 74 | |
| 19 | 2019 | 74 | |
| 20 | 2020 | 72 |
About Bo Wang
Bo Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Cancer Research, having authored 298 papers that have together received 6.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Hippo pathway signaling and YAP/TAZ (9 papers), Genomics, phytochemicals, and oxidative stress (9 papers), Cancer Genomics and Diagnostics (9 papers), MicroRNA in disease regulation (9 papers), RNA Research and Splicing (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.4k citations), Immunology (1.1k citations), Molecular Biology (3.0k citations) and Cell Biology (602 citations). Bo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Denver T. Hendricks, M. Iqbal Parker, Kou‐Gi Shyu, Fred Wamunyokoli, P Kuan, Qing Yang, Guoying Dong, Jichun Han, Defang Li and Ruoyu Wang. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Biochemical and Biophysical Research Communications, The Journal of Immunology and PLoS ONE.
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.