Ka‐Loh Li

1.0k total citations
26 papers, 650 citations indexed

About

Ka‐Loh Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Materials Chemistry. According to data from OpenAlex, Ka‐Loh Li has authored 26 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Epidemiology and 6 papers in Materials Chemistry. Recurrent topics in Ka‐Loh Li's work include MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (18 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Ka‐Loh Li is often cited by papers focused on MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (18 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Ka‐Loh Li collaborates with scholars based in United Kingdom, United States and Netherlands. Ka‐Loh Li's co-authors include Alan Jackson, Xiaoping Zhu, Geon‐Ho Jahng, Fernando Calamante, Leif Østergaard, John C. Waterton, Nola M. Hylton, Lisa J. Wilmes, Sha Zhao and Roland G. Henry and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Ka‐Loh Li

25 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka‐Loh Li United Kingdom 13 527 92 72 71 57 26 650
Joe X Qiao United States 8 472 0.9× 202 2.2× 140 1.9× 55 0.8× 72 1.3× 17 646
Vibeke A. Larsen Denmark 13 258 0.5× 174 1.9× 63 0.9× 24 0.3× 62 1.1× 24 535
Zhongping Chen China 10 163 0.3× 111 1.2× 54 0.8× 34 0.5× 39 0.7× 34 393
Xingqi Lu China 11 242 0.5× 61 0.7× 32 0.4× 40 0.6× 38 0.7× 25 479
Katharina Strach Germany 18 561 1.1× 48 0.5× 50 0.7× 19 0.3× 62 1.1× 38 907
Bhavya Shah United States 14 273 0.5× 102 1.1× 26 0.4× 42 0.6× 93 1.6× 41 559
Jana Rydland Norway 13 375 0.7× 65 0.7× 106 1.5× 25 0.4× 157 2.8× 15 724
Claes Nøhr Ladefoged Denmark 18 788 1.5× 85 0.9× 48 0.7× 45 0.6× 53 0.9× 50 920
Catalina Raymond United States 16 388 0.7× 303 3.3× 27 0.4× 114 1.6× 41 0.7× 60 597
Marek Mechl Czechia 10 255 0.5× 106 1.2× 20 0.3× 48 0.7× 31 0.5× 32 449

Countries citing papers authored by Ka‐Loh Li

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Loh Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Loh Li. 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 Ka‐Loh Li. The network helps show where Ka‐Loh Li may publish in the future.

Co-authorship network of co-authors of Ka‐Loh Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Loh Li. A scholar is included among the top collaborators of Ka‐Loh Li 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 Ka‐Loh Li. Ka‐Loh Li 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.
Lewis, Daniel, Ka‐Loh Li, Cathal John Hannan, et al.. (2025). Emerging strategies for the prediction of behaviour, growth, and treatment response in vestibular schwannoma. Acta Neurochirurgica. 167(1). 116–116.
2.
Lewis, Daniel, Ka‐Loh Li, Mueez Waqar, et al.. (2024). Low-dose GBCA administration for brain tumour dynamic contrast enhanced MRI: a feasibility study. Scientific Reports. 14(1). 4905–4905. 2 indexed citations
3.
Lewis, Daniel, Ka‐Loh Li, Marnix C. Maas, et al.. (2024). Dynamic contrast-enhanced and diffusion-weighted MR imaging for predicting tumor growth of sporadic vestibular schwannomas: A prospective study. Neuro-Oncology. 27(4). 1116–1127. 1 indexed citations
4.
5.
Lewis, Daniel, Xiaoping Zhu, David Coope, et al.. (2022). Surrogate vascular input function measurements from the superior sagittal sinus are repeatable and provide tissue-validated kinetic parameters in brain DCE-MRI. Scientific Reports. 12(1). 8737–8737. 12 indexed citations
6.
Waqar, Mueez, Petra J. van Houdt, Ka‐Loh Li, et al.. (2022). Visualising spatial heterogeneity in glioblastoma using imaging habitats. Frontiers in Oncology. 12. 1037896–1037896. 18 indexed citations
7.
Lewis, Daniel, Ka‐Loh Li, Xiaoping Zhu, et al.. (2021). Detection of early changes in the post-radiosurgery vestibular schwannoma microenvironment using multinuclear MRI. Scientific Reports. 11(1). 15712–15712. 12 indexed citations
8.
Li, Ka‐Loh, Daniel Lewis, Alan Jackson, Sha Zhao, & Xiaoping Zhu. (2018). Low‐dose T1W DCE‐MRI for early time points perfusion measurement in patients with intracranial tumors: A pilot study applying the microsphere model to measure absolute cerebral blood flow. Journal of Magnetic Resonance Imaging. 48(2). 543–557. 9 indexed citations
9.
Li, Ka‐Loh, Xiaoping Zhu, Sha Zhao, et al.. (2015). Vascular biomarkers derived from dynamic contrast-enhanced MRI predict response of vestibular schwannoma to antiangiogenic therapy in type 2 neurofibromatosis. Neuro-Oncology. 18(2). 275–282. 29 indexed citations
10.
11.
Li, Ka‐Loh, Giovanni A. Buonaccorsi, Gerard Thompson, et al.. (2012). An improved coverage and spatial resolution—using dual injection dynamic contrast‐enhanced (ICE‐DICE) MRI: A novel dynamic contrast‐enhanced technique for cerebral tumors. Magnetic Resonance in Medicine. 68(2). 452–462. 27 indexed citations
12.
13.
Pham, Viet, Xiaoping Zhu, Ka‐Loh Li, & Jim Ji. (2009). Parameter estimation in arterial spin labeling MRI: Comparing the four phase model and the buxton model with fourier transform. PubMed. 2009. 4791–4794. 1 indexed citations
14.
Moasser, Mark M., Lisa J. Wilmes, Ching Hang Wong, et al.. (2007). Improved tumor vascular function following high‐dose epidermal growth factor receptor tyrosine kinase inhibitor therapy. Journal of Magnetic Resonance Imaging. 26(6). 1618–1625. 18 indexed citations
15.
Li, Ka‐Loh, Roland G. Henry, Lisa J. Wilmes, et al.. (2007). Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging. Magnetic Resonance in Medicine. 58(3). 572–581. 37 indexed citations
16.
Li, Ka‐Loh, Xiaoping Zhu, Nola M. Hylton, et al.. (2005). Four‐phase single‐capillary stepwise model for kinetics in arterial spin labeling MRI. Magnetic Resonance in Medicine. 53(3). 511–518. 43 indexed citations
17.
18.
Li, Ka‐Loh & Alan Jackson. (2003). New hybrid technique for accurate and reproducible quantitation of dynamic contrast‐enhanced MRI data. Magnetic Resonance in Medicine. 50(6). 1286–1295. 28 indexed citations
19.
Li, Ka‐Loh, Xiaoping Zhu, John C. Waterton, & Alan Jackson. (2000). Improved 3D quantitative mapping of blood volume and endothelial permeability in brain tumors. Journal of Magnetic Resonance Imaging. 12(2). 347–357. 147 indexed citations
20.
Li, Ka‐Loh & James N. Suojanen. (1995). Cocaine‐induced changes in time course of regional cerebral blood volume and transit time as determined by dynamic MR imaging. Journal of Magnetic Resonance Imaging. 5(6). 715–718. 4 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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