Bo Gong
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 3
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- Neuroscience and Neuropharmacology Research 8
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms 5
- Behavioral Neuroscience top 10%
- Biological Psychiatry top 10%
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- Radiomics and Machine Learning in Medical Imaging 5
- Radiology practices and education 5
- Radiation Dose and Imaging 2
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Pain Mechanisms and Treatments 2
- Co-authors
- Min ZhuoFaisal KhosaHansen WangSavvas NicolaouLong‐Jun WuWilliam ParkerPaul J. ChangWilliam Guest
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Bo Gong
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Health Informatics 207
- Cellular and Molecular Neuroscience 436
- Cognitive Neuroscience 281
- Behavioral Neuroscience 47
- Biological Psychiatry 32
Countries citing papers authored by Bo Gong
This map shows the geographic impact of Bo Gong'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 Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Gong more than expected).
Fields of papers citing papers by Bo Gong
This network shows the impact of papers produced by Bo Gong. 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 Gong. The network helps show where Bo Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Gong, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 34 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 4 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 211 | |
| 10 | 2017 | 12 | |
| 11 | Top 50 Landmarks in Sentinel Lymph Node Imaging: A Bibliometric Analysis. | 2017 | 1 |
| 12 | 2012 | 175 | |
| 13 | 2012 | 72 | |
| 14 | 2009 | 32 | |
| 15 | 2008 | 46 | |
| 16 | 2008 | 157 | |
| 17 | 2007 | 34 | |
| 18 | 2006 | 56 | |
| 19 | 2004 | 9 | |
| 20 | [The evaluation of endoscopic biliary drainage for 288 patients with malignant hilar obstruction]. | 1997 | 1 |
About Bo Gong
Bo Gong is a scholar working on Health Informatics, Cellular and Molecular Neuroscience and Neurology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Memory and Neural Mechanisms (5 papers), Radiology practices and education (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Pain Mechanisms and Treatments (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Health Informatics (207 citations), Cellular and Molecular Neuroscience (436 citations) and Cognitive Neuroscience (281 citations). Bo Gong has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Min Zhuo, Faisal Khosa, Hansen Wang, Savvas Nicolaou, Long‐Jun Wu, William Parker, Paul J. Chang, William Guest, James P. Nugent and Yu Tian Wang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Neuron.
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.