Ning Tu
Impact in
- Modeling and Simulation top 10%
-
- Cancer-related Molecular Pathways
Papers in
-
- Advanced Neuroimaging Techniques and Applications 7
- MRI in cancer diagnosis 2
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- Functional Brain Connectivity Studies 7
- Co-authors
- Guangyao Wu (5 shared papers)Waun Ki Hong (1 shared paper)Walter N. Hittelman (1 shared paper)J Y Ro (1 shared paper)J. Jack Lee (1 shared paper)A-R Yoon (1 shared paper)Zhi Wen (3 shared papers)Jie Zhang (1 shared paper)
- Journals
- Frontiers in Psychiatry (3 papers)Scientific Reports (1 paper)Medicine (1 paper)Journal of Affective Disorders (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ning Tu
24 papers receiving 461 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 26
- Oncology 122
- Pulmonary and Respiratory Medicine 130
- Cancer Research 55
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Ning Tu
This map shows the geographic impact of Ning Tu'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 Ning Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Tu more than expected).
Fields of papers citing papers by Ning Tu
This network shows the impact of papers produced by Ning Tu. 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 Ning Tu. The network helps show where Ning Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Tu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 133 | |
| 2 | 2017 | 68 | |
| 3 | 2020 | 58 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | Fast Parallel File Replication in Data Grid | 2004 | 3 |
About Ning Tu
Ning Tu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Clinical Psychology and Neurology, having authored 26 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Functional Brain Connectivity Studies (7 papers), COVID-19 and Mental Health (3 papers), Long-Term Effects of COVID-19 (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Mental Health Research Topics (2 papers), MRI in cancer diagnosis (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (26 citations), Oncology (122 citations), Pulmonary and Respiratory Medicine (130 citations), Cancer Research (55 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Ning Tu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangyao Wu, Waun Ki Hong, Walter N. Hittelman, J Y Ro, J. Jack Lee, A-R Yoon, Zhi Wen, Jie Zhang, Peng Tang and Ke Wang. Their work appears in journals such as Frontiers in Psychiatry, Scientific Reports, Medicine, Journal of Affective Disorders and American Journal of Roentgenology.
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.