Xiao‐Hong Zhu

3.2k total citations
61 papers, 2.2k citations indexed

About

Xiao‐Hong Zhu is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cognitive Neuroscience. According to data from OpenAlex, Xiao‐Hong Zhu has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Spectroscopy and 18 papers in Cognitive Neuroscience. Recurrent topics in Xiao‐Hong Zhu's work include Advanced MRI Techniques and Applications (45 papers), Advanced NMR Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (16 papers). Xiao‐Hong Zhu is often cited by papers focused on Advanced MRI Techniques and Applications (45 papers), Advanced NMR Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (16 papers). Xiao‐Hong Zhu collaborates with scholars based in United States, China and Australia. Xiao‐Hong Zhu's co-authors include Wei Chen, Kâmil Uǧurbil, Ming Lu, Xiaoliang Zhang, Wei Chen, Xiao Liu, Nanyin Zhang, Yi Zhang, Fei Du and Hongyan Qiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Xiao‐Hong Zhu

55 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Hong Zhu United States 26 1.2k 694 434 377 276 61 2.2k
Giulio Gambarota France 24 1.2k 1.0× 161 0.2× 369 0.9× 359 1.0× 246 0.9× 92 2.2k
Lijing Xin Switzerland 28 1.1k 1.0× 464 0.7× 399 0.9× 505 1.3× 486 1.8× 92 2.2k
Su Xu United States 28 909 0.8× 319 0.5× 542 1.2× 85 0.2× 239 0.9× 94 2.5k
Melissa Terpstra United States 27 1.3k 1.1× 312 0.4× 397 0.9× 533 1.4× 328 1.2× 43 2.1k
Henk M. De Feyter United States 24 802 0.7× 173 0.2× 531 1.2× 477 1.3× 313 1.1× 47 2.0k
Markus von Kienlin Germany 30 1.7k 1.5× 291 0.4× 585 1.3× 662 1.8× 301 1.1× 82 3.0k
Silvia Mangia United States 32 1.2k 1.0× 873 1.3× 564 1.3× 237 0.6× 1.0k 3.7× 108 3.1k
Constance M. Moore United States 30 710 0.6× 768 1.1× 321 0.7× 130 0.3× 407 1.5× 60 2.3k
Maarten J. Versluis Netherlands 28 1.2k 1.0× 412 0.6× 222 0.5× 155 0.4× 174 0.6× 64 2.2k
Chikkathur N. Madhavarao United States 19 722 0.6× 250 0.4× 837 1.9× 97 0.3× 426 1.5× 36 2.2k

Countries citing papers authored by Xiao‐Hong Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Hong Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Hong Zhu. 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 Xiao‐Hong Zhu. The network helps show where Xiao‐Hong Zhu may publish in the future.

Co-authorship network of co-authors of Xiao‐Hong Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Hong Zhu. A scholar is included among the top collaborators of Xiao‐Hong Zhu 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 Xiao‐Hong Zhu. Xiao‐Hong Zhu 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.
Li, Yudu, Yuhui Chai, Aaron Anderson, et al.. (2025). High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling. IEEE Transactions on Biomedical Engineering. 72(12). 3558–3566.
2.
Zhu, Xiao‐Hong, et al.. (2025). Quantitative mapping of key glucose metabolic rates in the human brain using dynamic deuterium magnetic resonance spectroscopic imaging. PNAS Nexus. 4(3). pgaf072–pgaf072. 2 indexed citations
3.
4.
Zhu, Xiao‐Hong, et al.. (2018). High-resolution imaging of distinct human corpus callosum microstructure and topography of structural connectivity to cortices at high field. Brain Structure and Function. 224(2). 949–960. 10 indexed citations
5.
Taylor, Jennifer M., Shan Hu, Yi Zhang, et al.. (2017). Carbon nano-structured neural probes show promise for magnetic resonance imaging applications. Biomedical Physics & Engineering Express. 4(1). 15001–15001. 7 indexed citations
6.
Qin, Gang, et al.. (2016). Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis. BMC Medical Informatics and Decision Making. 16(1). 59–59. 6 indexed citations
7.
Zhu, Xiao‐Hong & Wei Chen. (2016). In vivo 17O MRS imaging – Quantitative assessment of regional oxygen consumption and perfusion rates in living brain. Analytical Biochemistry. 529. 171–178. 22 indexed citations
8.
Wang, Xiao, Xiao‐Hong Zhu, Yi Zhang, & Wei Chen. (2015). Simultaneous Imaging of CBF Change and BOLD with Saturation-Recovery-T1 Method. PLoS ONE. 10(4). e0122563–e0122563. 4 indexed citations
9.
Zhu, Xiao‐Hong, Hongyan Qiao, Fei Du, et al.. (2012). Quantitative imaging of energy expenditure in human brain. NeuroImage. 60(4). 2107–2117. 183 indexed citations
10.
Liu, Xiao, Xiao‐Hong Zhu, Peihua Qiu, & Wei Chen. (2012). A correlation-matrix-based hierarchical clustering method for functional connectivity analysis. Journal of Neuroscience Methods. 211(1). 94–102. 66 indexed citations
11.
12.
Liu, Xiao, Xiao‐Hong Zhu, & Wei Chen. (2011). Distinction in Coherent Neural Network Between Resting and Working Brain States. Brain Connectivity. 1(5). 377–388. 3 indexed citations
13.
Zhang, Nanyin, et al.. (2010). High-resolution fMRI mapping of ocular dominance layers in cat lateral geniculate nucleus. NeuroImage. 50(4). 1456–1463. 16 indexed citations
14.
Zhang, Nanyin, Xiao‐Hong Zhu, Essa Yacoub, Kâmil Uǧurbil, & Wei Chen. (2010). Functional MRI mapping neuronal inhibition and excitation at columnar level in human visual cortex. Experimental Brain Research. 204(4). 515–524. 12 indexed citations
15.
Zhang, Nanyin, Essa Yacoub, Xiao‐Hong Zhu, Kâmil Uǧurbil, & Wei Chen. (2009). Linearity of blood-oxygenation-level dependent signal at microvasculature. NeuroImage. 48(2). 313–318. 29 indexed citations
16.
Zhu, Xiao‐Hong, Nanyin Zhang, Yi Zhang, et al.. (2005). In vivo17O NMR approaches for brain study at high field. NMR in Biomedicine. 18(2). 83–103. 91 indexed citations
17.
Lei, Hao, Yi Zhang, Xiao‐Hong Zhu, & Wei Chen. (2003). Changes in the proton T2 relaxation times of cerebral water and metabolites during forebrain ischemia in rat at 9.4 T. Magnetic Resonance in Medicine. 49(6). 979–984. 28 indexed citations
18.
Chen, Wei, Xiao‐Hong Zhu, Rolf Gruetter, et al.. (2001). Study of tricarboxylic acid cycle flux changes in human visual cortex during hemifield visual stimulation using1H-{13C} MRS and fMRI. Magnetic Resonance in Medicine. 45(3). 349–355. 84 indexed citations
19.
Chen, Wei, et al.. (1998). Human primary visual cortex and lateral geniculate nucleus activation during visual imagery. Neuroreport. 9(16). 3669–3674. 104 indexed citations
20.
Zhu, Xiao‐Hong, René Zellweger, Matthias W. Wichmann, Alfred Ayala, & Irshad H. Chaudry. (1997). EFFECTS OF PROLACTIN AND METOCLOPRAMIDE ON MACROPHAGE CYTOKINE GENE EXPRESSION IN LATE SEPSIS. Cytokine. 9(6). 437–446. 32 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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