Lijing Xin

3.3k total citations
92 papers, 2.2k citations indexed

About

Lijing Xin is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Molecular Biology. According to data from OpenAlex, Lijing Xin has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Spectroscopy and 16 papers in Molecular Biology. Recurrent topics in Lijing Xin's work include Advanced MRI Techniques and Applications (60 papers), Advanced NMR Techniques and Applications (30 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Lijing Xin is often cited by papers focused on Advanced MRI Techniques and Applications (60 papers), Advanced NMR Techniques and Applications (30 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Lijing Xin collaborates with scholars based in Switzerland, United States and Germany. Lijing Xin's co-authors include Rolf Gruetter, Vladı́mir Mlynárik, Benoît Schaller, Cristina Cudalbu, Ralf Mekle, Kim Q., Philippe Conus, Giulio Gambarota, Philipp Baumann and Michel Cuénod and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Lijing Xin

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijing Xin Switzerland 28 1.1k 505 486 464 399 92 2.2k
S. Andrea Wijtenburg United States 26 747 0.7× 162 0.3× 415 0.9× 644 1.4× 269 0.7× 50 1.6k
Jan Willem van der Veen United States 17 674 0.6× 197 0.4× 663 1.4× 525 1.1× 171 0.4× 32 1.9k
Henk M. De Feyter United States 24 802 0.7× 477 0.9× 313 0.6× 173 0.4× 531 1.3× 47 2.0k
Melissa Terpstra United States 27 1.3k 1.1× 533 1.1× 328 0.7× 312 0.7× 397 1.0× 43 2.1k
João M. N. Duarte Switzerland 32 582 0.5× 281 0.6× 793 1.6× 236 0.5× 670 1.7× 85 2.5k
Jannie P. Wijnen Netherlands 23 1.1k 0.9× 408 0.8× 260 0.5× 328 0.7× 246 0.6× 68 1.7k
Uzay Emir United Kingdom 30 1.2k 1.1× 333 0.7× 750 1.5× 1.0k 2.2× 435 1.1× 99 2.7k
Pierre‐Gilles Henry United States 32 1.5k 1.3× 776 1.5× 740 1.5× 320 0.7× 704 1.8× 71 2.9k
Andrew P. Prescot United States 25 540 0.5× 172 0.3× 638 1.3× 561 1.2× 271 0.7× 50 2.1k
Ralf Mekle Germany 19 910 0.8× 290 0.6× 327 0.7× 554 1.2× 181 0.5× 47 1.6k

Countries citing papers authored by Lijing Xin

Since Specialization
Citations

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

Fields of papers citing papers by Lijing Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijing Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Lijing Xin. A scholar is included among the top collaborators of Lijing Xin 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 Lijing Xin. Lijing Xin 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.
Pessiglione, Mathias, et al.. (2025). Neurometabolic predictors of mental effort in the frontal cortex. Translational Psychiatry. 15(1). 344–344.
2.
Xiao, Ying, et al.. (2025). Creatine kinase imaging (CKI) for in vivo whole-brain mapping of creatine kinase reaction kinetics. Proceedings of the National Academy of Sciences. 122(47). e2505323122–e2505323122. 1 indexed citations
3.
Xin, Lijing, Philippe Reymond, José Boto, et al.. (2025). Neurochemical characteristics of pathological tissues in epilepsy: A preliminary 1H MR spectroscopy study at 7 T. European Journal of Radiology Open. 14. 100640–100640.
4.
Pierzchała, Katarzyna, et al.. (2024). Fast 3D31P B1+ mapping with a weighted stack of spiral trajectory at 7 T. Magnetic Resonance in Medicine. 93(2). 481–489. 3 indexed citations
5.
Lauber, Benedikt, Ileana Jelescu, Alessandra Griffa, et al.. (2024). Rebalance the Inhibitory System in the Elderly Brain: Influence of Balance Learning on GABAergic Inhibition and Functional Connectivity. Human Brain Mapping. 45(16). e70057–e70057. 3 indexed citations
6.
Xin, Lijing, et al.. (2024). A neurometabolic mechanism involving dmPFC/dACC lactate in physical effort-based decision-making. Molecular Psychiatry. 30(3). 899–913. 6 indexed citations
7.
8.
Xin, Lijing, et al.. (2023). Dipolectric antenna for high‐field MRI. Magnetic Resonance in Medicine. 90(4). 1695–1712. 3 indexed citations
9.
10.
Cuenoud, Bernard, et al.. (2023). Effect of circadian rhythm on NAD and other metabolites in human brain. Frontiers in Physiology. 14. 1285776–1285776. 5 indexed citations
11.
Cudalbu, Cristina, Lijing Xin, Bénédicte Maréchal, et al.. (2023). High field brain proton magnetic resonance spectroscopy and volumetry in children with chronic, compensated liver disease – A pilot study. Analytical Biochemistry. 675. 115212–115212. 2 indexed citations
12.
Cudalbu, Cristina, Pierre Bady, Lijing Xin, et al.. (2021). Metabolic and transcriptomic profiles of glioblastoma invasion revealed by comparisons between patients and corresponding orthotopic xenografts in mice. Acta Neuropathologica Communications. 9(1). 133–133. 5 indexed citations
13.
Öz, Gülin, Dinesh K. Deelchand, Jannie P. Wijnen, et al.. (2020). Advanced single voxel 1H magnetic resonance spectroscopy techniques in humans: Experts' consensus recommendations. NMR in Biomedicine. 34(5). e4236–e4236. 113 indexed citations
14.
Lanz, Bernard, Alireza Abaei, Olivier Braissant, et al.. (2020). Magnetic resonance spectroscopy in the rodent brain: Experts' consensus recommendations. NMR in Biomedicine. 34(5). e4325–e4325. 14 indexed citations
15.
16.
Cuenoud, Bernard, Özlem İpek, Maurice Beaumont, et al.. (2020). Brain NAD Is Associated With ATP Energy Production and Membrane Phospholipid Turnover in Humans. Frontiers in Aging Neuroscience. 12. 609517–609517. 34 indexed citations
17.
Xin, Lijing & Ivan Tkáč. (2016). A practical guide to in vivo proton magnetic resonance spectroscopy at high magnetic fields. Analytical Biochemistry. 529. 30–39. 22 indexed citations
18.
Xin, Lijing, Ralf Mekle, Margot Fournier, et al.. (2016). Genetic Polymorphism Associated Prefrontal Glutathione and Its Coupling With Brain Glutamate and Peripheral Redox Status in Early Psychosis. Schizophrenia Bulletin. 42(5). 1185–1196. 73 indexed citations
19.
Baumann, Philipp, Alessandra Griffa, Lijing Xin, et al.. (2014). Glutathione Deficit Affects White Matter Integrity in Prefrontal Cortex and Impairs Brain Connectivity in Schizophrenia. Biological Psychiatry. 75(9). 2 indexed citations
20.
Gambarota, Giulio, Ralf Mekle, Lijing Xin, et al.. (2008). In vivo measurement of glycine with short echo-time 1H MRS in human brain at 7 T. Magnetic Resonance Materials in Physics Biology and Medicine. 22(1). 1–4. 43 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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