Tao Gong

825 total citations
49 papers, 509 citations indexed

About

Tao Gong is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tao Gong has authored 49 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Neurology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tao Gong's work include Advanced MRI Techniques and Applications (15 papers), Functional Brain Connectivity Studies (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Tao Gong is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Functional Brain Connectivity Studies (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Tao Gong collaborates with scholars based in China, United States and United Kingdom. Tao Gong's co-authors include Guangbin Wang, Richard A.E. Edden, Weibo Chen, Fei Gao, Liangjie Lin, Muhammad G. Saleh, Yulu Song, Yuanyuan Xiang, Yongqiang Yu and Shirong Li and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and International Journal of Pharmaceutics.

In The Last Decade

Tao Gong

43 papers receiving 506 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tao Gong China 14 195 126 116 73 71 49 509
Zhuozhi Dai China 17 357 1.8× 93 0.7× 103 0.9× 47 0.6× 86 1.2× 43 697
Pierre‐Marie Gonnaud France 11 101 0.5× 146 1.2× 216 1.9× 58 0.8× 113 1.6× 27 487
Florian Wilke Germany 14 116 0.6× 131 1.0× 236 2.0× 93 1.3× 54 0.8× 28 701
Dolores López‐Villegas Spain 10 63 0.3× 235 1.9× 144 1.2× 35 0.5× 69 1.0× 13 524
Shinya Sato Japan 9 95 0.5× 74 0.6× 62 0.5× 37 0.5× 131 1.8× 19 490
Victoria Lupson United Kingdom 11 348 1.8× 156 1.2× 49 0.4× 117 1.6× 50 0.7× 19 583
Stephanie D. Kraft-Terry United States 9 68 0.3× 43 0.3× 66 0.6× 48 0.7× 121 1.7× 10 642
Sarah Dougherty United States 15 77 0.4× 62 0.5× 248 2.1× 40 0.5× 190 2.7× 24 621
William E. Wu United States 8 170 0.9× 52 0.4× 88 0.8× 92 1.3× 166 2.3× 20 627

Countries citing papers authored by Tao Gong

Since Specialization
Citations

This map shows the geographic impact of Tao 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 Tao Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Gong more than expected).

Fields of papers citing papers by Tao Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tao 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 Tao Gong. The network helps show where Tao Gong may publish in the future.

Co-authorship network of co-authors of Tao Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Gong. A scholar is included among the top collaborators of Tao Gong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Gong. Tao Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Nai, et al.. (2025). Long-Term Effect of Intelligent Virtual Reality First-Aid Training on Cardiopulmonary Resuscitation Skill Proficiency. Prehospital Emergency Care. 30(1). 24–30. 1 indexed citations
2.
Wang, Yinghua, Tao Gong, Tao Na, et al.. (2024). Hypo-connectivity of the primary somatosensory cortex in Parkinson’s disease: a resting-state functional MRI study. Frontiers in Neurology. 15. 1361063–1361063. 1 indexed citations
3.
4.
Murali‐Manohar, Saipavitra, Kathleen E. Hupfeld, Helge J. Zöllner, et al.. (2024). Metabolite T1 relaxation times decrease across the adult lifespan. NMR in Biomedicine. 37(9). e5152–e5152. 4 indexed citations
5.
Liu, Yujuan, et al.. (2024). Comparison of intelligent virtual reality first‐aid training outcomes among individuals with different demographic characteristics. Journal of Evaluation in Clinical Practice. 31(2). e14135–e14135. 1 indexed citations
6.
Zhang, Wei, Mengying Wu, Rui Guo, et al.. (2024). A new long-acting analgesic formulation for postoperative pain management. International Journal of Pharmaceutics. 664. 124599–124599. 3 indexed citations
7.
Lin, Liangjie, Jiayu Li, Tao Gong, et al.. (2024). Unveiling MRI markers for Parkinson’s Disease: GABAergic dysfunction and cortical changes. NeuroImage Clinical. 43. 103661–103661. 1 indexed citations
8.
Hui, Steve C. N., Helge J. Zöllner, Tao Gong, et al.. (2023). sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T. Magnetic Resonance in Medicine. 91(2). 431–442. 2 indexed citations
9.
Chen, Yufan, Tao Gong, Cong Sun, et al.. (2023). Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition. European Radiology. 33(5). 3704–3714. 2 indexed citations
10.
Zöllner, Helge J., Christopher W. Davies‐Jenkins, Saipavitra Murali‐Manohar, et al.. (2022). Feasibility and implications of using subject‐specific macromolecular spectra to model short echo time magnetic resonance spectroscopy data. NMR in Biomedicine. 36(3). 11 indexed citations
11.
Hui, Steve C. N., Tao Gong, Helge J. Zöllner, et al.. (2021). The macromolecular MR spectrum does not change with healthy aging. Magnetic Resonance in Medicine. 87(4). 1711–1719. 16 indexed citations
12.
Song, Yulu, Tao Gong, Muhammad G. Saleh, et al.. (2021). Upper brainstem GABA levels in Parkinson’s disease. Magnetic Resonance Materials in Physics Biology and Medicine. 34(5). 689–696. 14 indexed citations
13.
Zhu, Qingqing, et al.. (2021). Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19. Japanese Journal of Radiology. 39(6). 589–597. 9 indexed citations
14.
Gong, Tao, et al.. (2021). Focal corticarl dysplasia in epilepsy is associated with GABA increase. NeuroImage Clinical. 31. 102763–102763. 8 indexed citations
15.
Song, Yulu, Tao Gong, Richard A.E. Edden, & Guangbin Wang. (2020). Feasibility of Measuring GABA Levels in the Upper Brainstem in Healthy Volunteers Using Edited MRS. Frontiers in Psychiatry. 11. 813–813. 5 indexed citations
16.
Jiang, Yun, Jianpeng Ma, Tao Gong, Hong-Jun Hao, & Haibo Chen. (2019). The diffuse involvement of anti-N-methyl-D-aspartate receptor encephalitis in brain: a case report. BMC Neurology. 19(1). 230–230. 2 indexed citations
17.
Gong, Tao, Yuanyuan Xiang, Muhammad G. Saleh, et al.. (2017). Inhibitory motor dysfunction in parkinson's disease subtypes. Journal of Magnetic Resonance Imaging. 47(6). 1610–1615. 36 indexed citations
18.
Li, Peng, Wei Li, Yun Jiang, et al.. (2017). Efficiency analysis on percutaneous endoscopic gastrostomy for patients with persistent dysphagia after stroke. Zhonghua laonian yixue zazhi. 36(3). 282–286. 1 indexed citations
19.
Mikkelsen, Mark E., Muhammad G. Saleh, Jamie Near, et al.. (2017). Frequency and phase correction for multiplexed edited MRS of GABA and glutathione. Magnetic Resonance in Medicine. 80(1). 21–28. 26 indexed citations
20.
Xiang, Yuanyuan, Tao Gong, Junwei Wu, et al.. (2016). Subtypes evaluation of motor dysfunction in Parkinson’s disease using neuromelanin-sensitive magnetic resonance imaging. Neuroscience Letters. 638. 145–150. 29 indexed citations

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.

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