Kwok‐Shing Chan

479 total citations · 1 hit paper
22 papers, 234 citations indexed

About

Kwok‐Shing Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Spectroscopy. According to data from OpenAlex, Kwok‐Shing Chan has authored 22 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 4 papers in Spectroscopy. Recurrent topics in Kwok‐Shing Chan's work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (14 papers) and MRI in cancer diagnosis (4 papers). Kwok‐Shing Chan is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (14 papers) and MRI in cancer diagnosis (4 papers). Kwok‐Shing Chan collaborates with scholars based in Netherlands, United States and United Kingdom. Kwok‐Shing Chan's co-authors include José P. Marques, Berkin Bilgic̦, Carlos Milovic, Ferdinand Schweser, Christian Langkammer, Jakob Meineke, Wietske van der Zwaag, Sina Straub, Mauro Costagli and Simon Robinson and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Kwok‐Shing Chan

20 papers receiving 234 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group

2024 58 citations Berkin Bilgic̦, Mauro Costagli et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kwok‐Shing Chan Netherlands	8	169	43	34	29	22	22	234
Bing Yao United States	4	207 1.2×	46 1.1×	20 0.6×	32 1.1×	14 0.6×	5	399
Christian Kames Canada	9	244 1.4×	61 1.4×	24 0.7×	47 1.6×	25 1.1×	15	323
Angela Jakary United States	9	168 1.0×	51 1.2×	16 0.5×	31 1.1×	32 1.5×	27	266
Korbinian Eckstein Austria	9	220 1.3×	51 1.2×	12 0.4×	36 1.2×	28 1.3×	20	281
Lucia Bossoni Netherlands	10	103 0.6×	35 0.8×	53 1.6×	45 1.6×	17 0.8×	18	368
Deanne Soares Jamaica	4	181 1.1×	55 1.3×	57 1.7×	37 1.3×	14 0.6×	7	384
Rafael Neto Henriques Portugal	14	418 2.5×	70 1.6×	13 0.4×	25 0.9×	10 0.5×	27	490
Hyeong‐Geol Shin South Korea	11	254 1.5×	41 1.0×	35 1.0×	95 3.3×	15 0.7×	28	356
Sung‐Min Gho South Korea	12	383 2.3×	52 1.2×	22 0.6×	100 3.4×	42 1.9×	26	506
Carlo Ciulla Albania	8	259 1.5×	66 1.5×	28 0.8×	77 2.7×	11 0.5×	39	444

Countries citing papers authored by Kwok‐Shing Chan

Since Specialization

Citations

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

Fields of papers citing papers by Kwok‐Shing Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok‐Shing Chan. 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 Kwok‐Shing Chan. The network helps show where Kwok‐Shing Chan may publish in the future.

Co-authorship network of co-authors of Kwok‐Shing Chan

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

All Works

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20 of 20 papers shown

Chan, Kwok‐Shing, José P. Marques, Jonas Lynge Olesen, et al.. (2025). In vivo human neurite exchange time imaging at 500 mT/m diffusion gradients. Imaging Neuroscience. 3. 3 indexed citations

Jang, Albert, Kwok‐Shing Chan, Azma Mareyam, et al.. (2025). Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping. Magnetic Resonance in Medicine. 94(2). 735–744. 1 indexed citations

Chan, Kwok‐Shing, Marcel P. Zwiers, Martin E. Johansson, et al.. (2025). Normative trajectories of R1, R2*, and magnetic susceptibility in basal ganglia on healthy ageing. Imaging Neuroscience. 3.

Bilgic̦, Berkin, Mauro Costagli, Kwok‐Shing Chan, et al.. (2024). Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group. Magnetic Resonance in Medicine. 91(5). 1834–1862. 58 indexed citations breakdown →

Chan, Kwok‐Shing, et al.. (2024). Peri-Tumoural Lipid Composition and Hypoxia for Early Immune Response to Neoadjuvant Chemotherapy in Breast Cancer. International Journal of Molecular Sciences. 25(17). 9303–9303. 1 indexed citations

Zwiers, Marcel P., José P. Marques, Kwok‐Shing Chan, et al.. (2024). The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study design, data processing, and rationale. PLoS ONE. 19(6). e0306006–e0306006. 2 indexed citations

Chan, Kwok‐Shing, et al.. (2024). Spatial heterogeneity of peri-tumoural lipid composition in postmenopausal patients with oestrogen receptor positive breast cancer. Scientific Reports. 14(1). 4699–4699. 2 indexed citations

Chan, Kwok‐Shing, Adam Dvorak, José P. Marques, et al.. (2024). Quantitative MRI distinguishes different leukodystrophies and correlates with clinical measures. European Radiology. 35(4). 1845–1857. 1 indexed citations

Chan, Kwok‐Shing, Adam Dvorak, José P. Marques, et al.. (2023). Applicability of multiple quantitative magnetic resonance methods in genetic brain white matter disorders. Journal of Neuroimaging. 34(1). 61–77. 3 indexed citations

10.

Bilgic̦, Berkin, Mauro Costagli, Kwok‐Shing Chan, et al.. (2023). Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.. PubMed. 3 indexed citations

11.

Chan, Kwok‐Shing, et al.. (2023). Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

12.

Chan, Kwok‐Shing, et al.. (2022). Imaging white matter microstructure with gradient‐echo phase imaging: Is ex vivo imaging with formalin‐fixed tissue a good approximation of the in vivo brain?. Magnetic Resonance in Medicine. 88(1). 380–390. 6 indexed citations

13.

Chan, Kwok‐Shing, Maxime Chamberland, & José P. Marques. (2022). On the performance of multi-compartment relaxometry for myelin water imaging (MCR-MWI) – test-retest repeatability and inter-protocol reproducibility. NeuroImage. 266. 119824–119824. 2 indexed citations

14.

Chan, Kwok‐Shing, et al.. (2022). Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer. BMC Cancer. 22(1). 285–285. 6 indexed citations

15.

Chan, Kwok‐Shing, et al.. (2021). Decoding the microstructural properties of white matter using realistic models. NeuroImage. 237. 118138–118138. 8 indexed citations

16.

Marques, José P., Jakob Meineke, Carlos Milovic, et al.. (2021). QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures. Magnetic Resonance in Medicine. 86(1). 526–542. 40 indexed citations

17.

Dong, Zijing, Fuyixue Wang, Kwok‐Shing Chan, et al.. (2021). Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging. NeuroImage. 232. 117897–117897. 16 indexed citations

18.

Chan, Kwok‐Shing & José P. Marques. (2020). SEPIA—Susceptibility mapping pipeline tool for phase images. NeuroImage. 227. 117611–117611. 42 indexed citations

19.

Chan, Kwok‐Shing & José P. Marques. (2020). Multi-compartment relaxometry and diffusion informed myelin water imaging – Promises and challenges of new gradient echo myelin water imaging methods. NeuroImage. 221. 117159–117159. 23 indexed citations

20.

Chan, Kwok‐Shing, David G. Norris, & José P. Marques. (2018). Structure tensor informed fibre tractography at 3T. Human Brain Mapping. 39(11). 4440–4451. 3 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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