Gladys Lo

2.3k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Gladys Lo is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gladys Lo has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gladys Lo's work include Advanced MRI Techniques and Applications (17 papers), MRI in cancer diagnosis (15 papers) and Cardiac Imaging and Diagnostics (7 papers). Gladys Lo is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), MRI in cancer diagnosis (15 papers) and Cardiac Imaging and Diagnostics (7 papers). Gladys Lo collaborates with scholars based in Hong Kong, China and United States. Gladys Lo's co-authors include John Chan, Hung‐Fat Tse, Yok‐Lam Kwong, Chu‐Pak Lau, Chi-Lai Ho, Jing Yuan, Oi Lei Wong, Darren M.C. Poon, Yihang Zhou and T Wong and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Gladys Lo

41 papers receiving 1.6k citations

Hit Papers

Angiogenesis in ischaemic myocardium by intramyocardial a... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gladys Lo Hong Kong 19 623 555 519 335 299 41 1.6k
Pierre Chouraqui Israel 18 667 1.1× 439 0.8× 682 1.3× 338 1.0× 226 0.8× 45 1.8k
Yukiji Takeda Japan 24 559 0.9× 349 0.6× 197 0.4× 422 1.3× 168 0.6× 55 1.6k
Jack Baron Israel 12 674 1.1× 353 0.6× 679 1.3× 304 0.9× 170 0.6× 25 1.6k
Tim Süselbeck Germany 26 1.8k 2.9× 964 1.7× 951 1.8× 758 2.3× 266 0.9× 68 3.8k
Diego Cecchin Italy 23 430 0.7× 544 1.0× 252 0.5× 123 0.4× 173 0.6× 156 1.8k
James R. Galt United States 25 323 0.5× 1.2k 2.1× 109 0.2× 548 1.6× 374 1.3× 92 2.3k
Pejman Maralani Canada 27 750 1.2× 709 1.3× 399 0.8× 66 0.2× 142 0.5× 127 2.1k
Michela Massollo Italy 21 290 0.5× 295 0.5× 364 0.7× 375 1.1× 54 0.2× 50 1.3k
Nils A. Sörensen Germany 25 450 0.7× 276 0.5× 542 1.0× 957 2.9× 185 0.6× 69 2.3k
Won Woo Lee South Korea 18 405 0.7× 496 0.9× 58 0.1× 160 0.5× 146 0.5× 83 1.5k

Countries citing papers authored by Gladys Lo

Since Specialization
Citations

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

Fields of papers citing papers by Gladys Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gladys Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Gladys Lo. A scholar is included among the top collaborators of Gladys Lo 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 Gladys Lo. Gladys Lo 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
2.
Hui, Rex Wan‐Hin, Albert Chan, Gladys Lo, et al.. (2022). Magnetic resonance elastography and proton density fat fraction predict adverse outcomes in hepatocellular carcinoma. Hepatology International. 16(2). 371–380. 4 indexed citations
3.
Petralia, Giuseppe, Dow‐Mu Koh, Rosalind A. Eeles, et al.. (2021). Oncologically Relevant Findings Reporting and Data System (ONCO-RADS): Guidelines for the Acquisition, Interpretation, and Reporting of Whole-Body MRI for Cancer Screening. Radiology. 299(3). 494–507. 39 indexed citations
4.
Yuan, Jing, Darren M.C. Poon, Gladys Lo, et al.. (2021). A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer. Quantitative Imaging in Medicine and Surgery. 12(2). 1585–1607. 18 indexed citations
5.
Yuan, Jing, Gladys Lo, Darren M.C. Poon, et al.. (2021). Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review. Quantitative Imaging in Medicine and Surgery. 11(10). 4431–4460. 110 indexed citations
6.
Yuan, Jing, Gladys Lo, Oi Lei Wong, et al.. (2021). Quantitative assessment of acquisition imaging parameters on MRI radiomics features: a prospective anthropomorphic phantom study using a 3D-T2W-TSE sequence for MR-guided-radiotherapy. Quantitative Imaging in Medicine and Surgery. 11(5). 1870–1887. 18 indexed citations
8.
Assen, Marly van, Carlo N. De Cecco, Marwen Eid, et al.. (2019). Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. Journal of cardiovascular computed tomography. 13(3). 26–33. 48 indexed citations
9.
Yuan, Jing, Gladys Lo, & Ann D. King. (2016). Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers. Quantitative Imaging in Medicine and Surgery. 6(4). 430–448. 17 indexed citations
10.
Yuan, Jing, et al.. (2016). Statistical assessment of bi-exponential diffusion weighted imaging signal characteristics induced by intravoxel incoherent motion in malignant breast tumors. Quantitative Imaging in Medicine and Surgery. 6(4). 418–429. 24 indexed citations
11.
Wong, Oi Lei, et al.. (2016). Intrasession and Intersession Repeatability of Diffusion Tensor Imaging in Healthy Human Liver. Journal of Computer Assisted Tomography. 41(4). 578–585. 4 indexed citations
12.
Meinel, Felix G., Julian L. Wichmann, U. Joseph Schoepf, et al.. (2016). Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value. Journal of cardiovascular computed tomography. 11(1). 16–24. 20 indexed citations
13.
Lo, Gladys, et al.. (2015). The Enhanced Workflow and Efficiency of the Wireless Local Area Network (WLAN)-Based Direct Digital Radiography (DDR) Portable Radiography. Journal of Digital Imaging. 28(3). 302–308. 3 indexed citations
14.
Ebersberger, Ullrich, Roy Marcus, U. Joseph Schoepf, et al.. (2013). Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software. European Radiology. 24(1). 191–199. 32 indexed citations
15.
Law, Yuk, et al.. (2013). Impact of magnetic resonance imaging on preoperative planning for breast cancer surgery. Hong Kong Medical Journal. 19(4). 294–9. 4 indexed citations
16.
Lo, Gladys, Victor Ai, John Chan, et al.. (2009). Diffusion-Weighted Magnetic Resonance Imaging of Breast Lesions. Journal of Computer Assisted Tomography. 33(1). 63–69. 71 indexed citations
17.
Tse, Hung‐Fat, S. Thambar, Yok‐Lam Kwong, et al.. (2006). Safety of Catheter-Based Intramyocardial Autologous Bone Marrow Cells Implantation for Therapeutic Angiogenesis. The American Journal of Cardiology. 98(1). 60–62. 35 indexed citations
19.
Tse, Hung‐Fat, S. Thambar, John Chan, et al.. (2004). 1025-64 Long-term clinical outcome of catheter-based intramyocardial autologous bone marrow cells implantation in patients with end-stage coronary artery diseases. Journal of the American College of Cardiology. 43(5). A39–A39. 1 indexed citations
20.
Tse, Hung‐Fat, Yok‐Lam Kwong, John Chan, et al.. (2003). Angiogenesis in ischaemic myocardium by intramyocardial autologous bone marrow mononuclear cell implantation. The Lancet. 361(9351). 47–49. 634 indexed citations breakdown →

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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