Xuming Tang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Power Line Inspection Robots 7
- Teleoperation and Haptic Systems 4
-
- Advanced Neural Network Applications 3
- Co-authors
- Xin-Yuan Guan (3 shared papers)Erbao Dong (8 shared papers)Shuibing Chen (3 shared papers)Li-Yi Zhang (2 shared papers)Zhenchuan Miao (1 shared paper)Yanlei Yang (1 shared paper)Xiaohua Duan (2 shared papers)Hongkui Deng (1 shared paper)
- Journals
- Cell Reports (2 papers)Cell Metabolism (2 papers)Theranostics (1 paper)Cell stem cell (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xuming Tang
27 papers receiving 1.5k citations
Xuming Tang's Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 591
- Neurology 231
- Genetics 208
- Developmental Neuroscience 26
- Molecular Biology 411
Countries citing papers authored by Xuming Tang
This map shows the geographic impact of Xuming Tang'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 Xuming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuming Tang more than expected).
Fields of papers citing papers by Xuming Tang
This network shows the impact of papers produced by Xuming Tang. 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 Xuming Tang. The network helps show where Xuming Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuming Tang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids Hit paper breakdown → | 2020 | 524 |
| 2 | Identification of SARS-CoV-2 inhibitors using lung and colonic organoids Hit paper breakdown → | 2020 | 450 |
| 3 | 2021 | 145 | |
| 4 | 2011 | 70 | |
| 5 | 2014 | 54 | |
| 6 | 2021 | 52 | |
| 7 | The research on the adsorption of nitrogen in low temperature and micro-pore properties in coal | 2001 | 41 |
| 8 | 2017 | 39 | |
| 9 | 2016 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2018 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Xuming Tang
Xuming Tang is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Cancer Research and Molecular Biology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Power Line Inspection Robots (7 papers), Pancreatic function and diabetes (5 papers), Teleoperation and Haptic Systems (4 papers), Single-cell and spatial transcriptomics (3 papers), Advanced Neural Network Applications (3 papers), RNA modifications and cancer (3 papers), Robotics and Sensor-Based Localization (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Infectious Diseases (591 citations), Neurology (231 citations), Genetics (208 citations), Developmental Neuroscience (26 citations) and Molecular Biology (411 citations). Xuming Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin-Yuan Guan, Erbao Dong, Shuibing Chen, Li-Yi Zhang, Zhenchuan Miao, Yanlei Yang, Xiaohua Duan, Hongkui Deng, Yang Gao and Jenny Xiang. Their work appears in journals such as Cell Reports, Cell Metabolism, Theranostics, Cell stem cell and Cell Death and Disease.
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.