Xin Yu

3.4k total citations
77 papers, 2.3k citations indexed

About

Xin Yu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xin Yu has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cognitive Neuroscience, 43 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xin Yu's work include Functional Brain Connectivity Studies (40 papers), Advanced MRI Techniques and Applications (34 papers) and Neural dynamics and brain function (27 papers). Xin Yu is often cited by papers focused on Functional Brain Connectivity Studies (40 papers), Advanced MRI Techniques and Applications (34 papers) and Neural dynamics and brain function (27 papers). Xin Yu collaborates with scholars based in United States, Germany and China. Xin Yu's co-authors include Daniel H. Turnbull, Youssef Zaim Wadghiri, Dan H. Sanes, Alan P. Koretsky, Véronique Moret, Eric M. Rouiller, M. Wiesendanger, Chunqi Qian, Stephen Dodd and Alexander Babalian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Xin Yu

70 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin Yu United States	24	1.2k	837	504	345	261	77	2.3k
Adam Q. Bauer United States	26	860 0.7×	728 0.9×	523 1.0×	300 0.9×	581 2.2×	97	2.9k
Kazuto Masamoto Japan	23	568 0.5×	908 1.1×	456 0.9×	246 0.7×	194 0.7×	83	1.8k
Yoshiyuki Watanabe Japan	30	503 0.4×	1.1k 1.4×	357 0.7×	199 0.6×	359 1.4×	179	2.9k
Yen‐Yu Ian Shih United States	29	799 0.7×	715 0.9×	767 1.5×	289 0.8×	396 1.5×	115	2.6k
Anne Morel France	22	1.7k 1.4×	1.0k 1.2×	678 1.3×	318 0.9×	566 2.2×	41	3.5k
Mohamed Ali Bahri Belgium	35	1.6k 1.3×	533 0.6×	428 0.8×	236 0.7×	129 0.5×	119	3.5k
Martina F. Callaghan United Kingdom	28	1.2k 1.0×	1.3k 1.5×	204 0.4×	102 0.3×	74 0.3×	85	2.6k
S.J. Jones United Kingdom	28	1.3k 1.1×	345 0.4×	357 0.7×	717 2.1×	430 1.6×	68	3.4k
Anan Li China	31	883 0.7×	388 0.5×	1.1k 2.1×	432 1.3×	434 1.7×	161	4.0k
Seok‐Jun Hong South Korea	33	2.7k 2.2×	1.5k 1.8×	493 1.0×	104 0.3×	204 0.8×	96	3.8k

Countries citing papers authored by Xin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yu. A scholar is included among the top collaborators of Xin Yu 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 Xin Yu. Xin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Xiaoqing, et al.. (2025). Elucidating hemodynamics and neuro-glio-vascular signaling using rodent fMRI. Trends in Neurosciences. 48(3). 227–241. 1 indexed citations

Zhao, Xinyu, Peng Liu, Danyang Liu, et al.. (2025). OAB-14 Attenuated Glymphatic System Disorder, Neuroinflammation and Dyskinesia in Parkinson’s Disease Model Mice Induced by Rotenone. Neurochemical Research. 50(2). 142–142. 3 indexed citations

Qian, Wei, et al.. (2025). WISDEM: a hybrid wireless integrated sensing detector for simultaneous EEG and MRI. Nature Methods. 22(9). 1944–1953.

Chen, Donna Y., Xin Di, Xin Yu, & Bharat B. Biswal. (2024). The significance and limited influence of cerebrovascular reactivity on age and sex effects in task- and resting-state brain activity. Cerebral Cortex. 34(2). 1 indexed citations

Barra, Megan E., Ken Solt, Xin Yu, & Brian L. Edlow. (2024). Restoring consciousness with pharmacologic therapy: Mechanisms, targets, and future directions. Neurotherapeutics. 21(4). e00374–e00374. 9 indexed citations

Liu, Xiaochen, Weitao Man, Chongzhao Ran, et al.. (2024). Identifying the bioimaging features of Alzheimer’s disease based on pupillary light response-driven brain-wide fMRI in awake mice. Nature Communications. 15(1). 9657–9657. 4 indexed citations

Jiang, Yuanyuan, et al.. (2024). Implementation of 2D Line-scanning Method. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Jiang, Yuanyuan, Patricia Pais‐Roldán, R Pohmann, & Xin Yu. (2024). High Spatiotemporal Resolution Radial Encoding Single‐Vessel fMRI. Advanced Science. 11(26). e2309218–e2309218. 4 indexed citations

Chen, Yi, David C. Zhu, Scott Counts, et al.. (2023). Novel inductively coupled ear-bars (ICEs) to enhance restored fMRI signal from susceptibility compensation in rats. Cerebral Cortex. 34(1). 1 indexed citations

10.

Zeng, Hang, et al.. (2021). Laminar-specific functional connectivity mapping with multi-slice line-scanning fMRI. Cerebral Cortex. 32(20). 4492–4501. 8 indexed citations

11.

Chen, Xuming, Yuanyuan Jiang, R Pohmann, et al.. (2021). Assessment of single-vessel cerebral blood velocity by phase contrast fMRI. PLoS Biology. 19(9). e3000923–e3000923. 10 indexed citations

12.

Chen, Yi, et al.. (2021). Focal fMRI signal enhancement with implantable inductively coupled detectors. NeuroImage. 247. 118793–118793. 6 indexed citations

13.

Chen, Yi, Filip Sobczak, Patricia Pais‐Roldán, et al.. (2020). Mapping the Brain-Wide Network Effects by Optogenetic Activation of the Corpus Callosum. Cerebral Cortex. 30(11). 5885–5898. 17 indexed citations

14.

Sobczak, Filip, Yi He, Terrence J. Sejnowski, & Xin Yu. (2020). Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics. Cerebral Cortex. 31(2). 826–844. 7 indexed citations

15.

Handwerker, Jonas, Michael Beyerlein, Franck Vincent, et al.. (2019). A CMOS NMR needle for probing brain physiology with high spatial and temporal resolution. Nature Methods. 17(1). 64–67. 30 indexed citations

16.

Pais‐Roldán, Patricia, Brian L. Edlow, Yuanyuan Jiang, et al.. (2019). Multimodal assessment of recovery from coma in a rat model of diffuse brainstem tegmentum injury. NeuroImage. 189. 615–630. 21 indexed citations

17.

Pais‐Roldán, Patricia, Bharat B. Biswal, Klaus Scheffler, & Xin Yu. (2018). Identifying Respiration-Related Aliasing Artifacts in the Rodent Resting-State fMRI. Frontiers in Neuroscience. 12. 788–788. 22 indexed citations

18.

Yu, Xin & Alan P. Koretsky. (2014). Interhemispheric Plasticity Protects the Deafferented Somatosensory Cortex from Functional Takeover After Nerve Injury. Brain Connectivity. 4(9). 709–717. 17 indexed citations

19.

Yu, Xin, et al.. (2013). Deciphering laminar-specific neural inputs with line-scanning fMRI. Nature Methods. 11(1). 55–58. 127 indexed citations

20.

Wadghiri, Youssef Zaim, et al.. (2004). Manganese‐enhanced magnetic resonance imaging (MEMRI) of mouse brain development. NMR in Biomedicine. 17(8). 613–619. 77 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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