Xiaobo Gong
- Transportation top 10%
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- Rheology and Fluid Dynamics Studies 6
- Computational Mechanics top 10%
- Lattice Boltzmann Simulation Studies 7
- Fluid Dynamics and Heat Transfer 5
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- Blood properties and coagulation 12
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- Cellular Mechanics and Interactions 6
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- Elasticity and Material Modeling 6
- Fluid Dynamics and Mixing 5
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- Erythrocyte Function and Pathophysiology 4
- Co-authors
- Jamie K. ScottIrwin GoldsteinR. Blaine EasleyDuraikkannu LoganathanShu TakagiHuaxiong HuangLori L. BonnycastleYoichiro Matsumoto
- Journals
- Proceedings of the National Academy of Sciences (2 papers)SHILAP Revista de lepidopterología (1 paper)Journal of Molecular Biology (1 paper)
In The Last Decade
Xiaobo Gong
50 papers receiving 848 citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 267
- Transportation 40
- Fluid Flow and Transfer Processes 34
- Computational Mechanics 111
- Molecular Biology 359
Countries citing papers authored by Xiaobo Gong
This map shows the geographic impact of Xiaobo 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 Xiaobo Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Gong more than expected).
Fields of papers citing papers by Xiaobo Gong
This network shows the impact of papers produced by Xiaobo 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 Xiaobo Gong. The network helps show where Xiaobo Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaobo 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 15 | |
| 11 | Metformin Inhibits Proliferation of Human Thyroid Cancer TPC-1 Cells by Decreasing LRP2 to Suppress the JNK Pathway | 2020 | 2 |
| 12 | 2020 | 19 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2012 | 9 | |
| 17 | 2012 | 5 | |
| 18 | NUMERICAL SIMULATION OF GAS-LIQUID TWO-PHASE FLOW WITH REVERSE BUOYANCY IN QUENCH CHAMBER OF COAL GASIFIER AND ITS APPLICATION | 2003 | 5 |
| 19 | 1996 | 147 | |
| 20 | 1992 | 208 |
About Xiaobo Gong
Xiaobo Gong is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Transportation, having authored 55 papers that have together received 884 indexed citations. Recurring topics across this work include Blood properties and coagulation (12 papers), Lattice Boltzmann Simulation Studies (7 papers), Cellular Mechanics and Interactions (6 papers), Elasticity and Material Modeling (6 papers), Rheology and Fluid Dynamics Studies (6 papers), Fluid Dynamics and Mixing (5 papers), Fluid Dynamics and Heat Transfer (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (267 citations), Transportation (40 citations) and Fluid Flow and Transfer Processes (34 citations). Xiaobo Gong has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Jamie K. Scott, Irwin Goldstein, R. Blaine Easley, Duraikkannu Loganathan, Shu Takagi, Huaxiong Huang, Lori L. Bonnycastle, Yoichiro Matsumoto, Yuncai Liu and Zhipeng Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.
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.