Ting Xu

4.4k total citations
56 papers, 1.5k citations indexed

About

Ting Xu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Ting Xu has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Psychiatry and Mental health. Recurrent topics in Ting Xu's work include Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (22 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Ting Xu is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), Neural dynamics and brain function (22 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Ting Xu collaborates with scholars based in United States, China and Canada. Ting Xu's co-authors include Raymond C. K. Chan, R. Walter Heinrichs, Yue Yu, Ya Wang, Michael P. Milham, Daniel S. Margulies, Jie Chen, Jing Jin, Boris C. Bernhardt and Joshua T Vogelstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ting Xu

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Xu United States 22 768 407 315 171 165 56 1.5k
Masumi Inagaki Japan 24 906 1.2× 506 1.2× 183 0.6× 148 0.9× 174 1.1× 127 1.7k
Bo‐yong Park South Korea 25 1.0k 1.3× 300 0.7× 470 1.5× 149 0.9× 86 0.5× 84 1.6k
Cheol E. Han South Korea 20 910 1.2× 302 0.7× 326 1.0× 105 0.6× 84 0.5× 50 1.5k
Hu Cheng United States 19 604 0.8× 177 0.4× 475 1.5× 166 1.0× 181 1.1× 62 1.3k
Christian Siedentopf Austria 25 1.2k 1.6× 324 0.8× 318 1.0× 233 1.4× 102 0.6× 45 2.1k
Allan Hummer Austria 21 741 1.0× 202 0.5× 179 0.6× 256 1.5× 129 0.8× 46 1.4k
Gilles Lafargue France 21 976 1.3× 309 0.8× 295 0.9× 175 1.0× 257 1.6× 36 1.6k
Katrin Morgen Germany 16 642 0.8× 223 0.5× 204 0.6× 316 1.8× 378 2.3× 21 1.5k
Christine M. Stanley United States 19 1.5k 2.0× 506 1.2× 134 0.4× 241 1.4× 104 0.6× 32 2.4k
Yunting Zhang China 22 794 1.0× 162 0.4× 477 1.5× 182 1.1× 60 0.4× 45 1.5k

Countries citing papers authored by Ting Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Xu. A scholar is included among the top collaborators of Ting Xu 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 Ting Xu. Ting Xu 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.
Pagani, Marco, Somer Bishop, Stanley J. Colcombe, et al.. (2025). Connectome-based symptom mapping and in silico related gene expression in children with autism and/or attention-deficit/hyperactivity disorder. Molecular Psychiatry. 31(1). 282–295.
2.
Li, Xinhui, Nathália Bianchini Esper, Lei Ai, et al.. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour. 8(10). 2003–2017. 11 indexed citations
3.
Mckeown, Brontë, Adam Turnbull, Ting Xu, et al.. (2024). Personality traits vary in their association with brain activity across situations. Communications Biology. 7(1). 1498–1498.
4.
Kiar, Gregory, Jeanette A. Mumford, Ting Xu, et al.. (2024). Why experimental variation in neuroimaging should be embraced. Nature Communications. 15(1). 9411–9411. 2 indexed citations
5.
Park, Shinwon, Koen V. Haak, Stuart Oldham, et al.. (2024). A shifting role of thalamocortical connectivity in the emergence of cortical functional organization. Nature Neuroscience. 27(8). 1609–1619. 18 indexed citations
6.
Telesford, Qawi K., Ting Xu, Stanley J. Colcombe, et al.. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data. 10(1). 554–554. 4 indexed citations
7.
Froudist‐Walsh, Seán, Ting Xu, Meiqi Niu, et al.. (2023). Gradients of neurotransmitter receptor expression in the macaque cortex. Nature Neuroscience. 26(7). 1281–1294. 40 indexed citations
8.
Xu, Ting, Gregory Kiar, Jae Wook Cho, et al.. (2023). ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences. Nature Methods. 20(7). 1025–1028. 15 indexed citations
9.
Wang, Qing, Yufang Yang, Han Zhang, et al.. (2023). The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch. Advances in Methods and Practices in Psychological Science. 6(1). 8 indexed citations
10.
Li, Yingqi, et al.. (2023). Corticosterone induces obesity partly via promoting intestinal cell proliferation and survival. Frontiers in Endocrinology. 13. 1052487–1052487. 3 indexed citations
11.
Nenning, Karl‐Heinz, Ting Xu, Alexandre R. Franco, et al.. (2023). Omnipresence of the sensorimotor-association axis topography in the human connectome. NeuroImage. 272. 120059–120059. 12 indexed citations
12.
Valk, Sofie L., Ting Xu, Casey Paquola, et al.. (2022). Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex. Nature Communications. 13(1). 2341–2341. 59 indexed citations
13.
Bridgeford, Eric, Zeyi Wang, Ting Xu, et al.. (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Computational Biology. 17(9). e1009279–e1009279. 32 indexed citations
14.
Ren, Jianxun, Ting Xu, Danhong Wang, et al.. (2020). Individual Variability in Functional Organization of the Human and Monkey Auditory Cortex. Cerebral Cortex. 31(5). 2450–2465. 24 indexed citations
15.
Rapan, Lucija, Seán Froudist‐Walsh, Meiqi Niu, et al.. (2020). Multimodal 3D atlas of the macaque monkey motor and premotor cortex. NeuroImage. 226. 117574–117574. 26 indexed citations
16.
Alekseichuk, Ivan, Arnaud Falchier, Gary Linn, et al.. (2019). Electric field dynamics in the brain during multi-electrode transcranial electric stimulation. Nature Communications. 10(1). 2573–2573. 70 indexed citations
17.
Shin, Jean, Leon French, Ting Xu, et al.. (2017). Cell-Specific Gene-Expression Profiles and Cortical Thickness in the Human Brain. Cerebral Cortex. 28(9). 3267–3277. 77 indexed citations
18.
Li, Zhi, Jia Huang, Ting Xu, et al.. (2017). Neural mechanism and heritability of complex motor sequence and audiovisual integration: A healthy twin study. Human Brain Mapping. 39(3). 1438–1448. 13 indexed citations
19.
20.
Chan, Raymond C. K., Ting Xu, R. Walter Heinrichs, Yue Yu, & Ya Wang. (2009). Neurological Soft Signs in Schizophrenia: A Meta-analysis. Schizophrenia Bulletin. 36(6). 1089–1104. 166 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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