Kristy Tan

640 total citations
10 papers, 500 citations indexed

About

Kristy Tan is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Kristy Tan has authored 10 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Kristy Tan's work include Cerebrospinal fluid and hydrocephalus (4 papers), Elasticity and Material Modeling (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Kristy Tan is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (4 papers), Elasticity and Material Modeling (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Kristy Tan collaborates with scholars based in Australia, United States and Japan. Kristy Tan's co-authors include Linda C. Meiners, Gert Holstege, Lynne E. Bilston, Shaokoon Cheng, Lauriane Jugé, Alice Hatt, Ralph Sinkus, Adam L. Sandler, Mark E. Wagshul and Rick Abbott and has published in prestigious journals such as Analytical Chemistry, Journal of neurosurgery and Journal of Biomechanics.

In The Last Decade

Kristy Tan

9 papers receiving 495 citations

Peers

Kristy Tan

CMN

CN

EAS

BE

RNMI

Satoshi Yamamoto Japan

Ümit Şehirli Türkiye

Heather Cater United Kingdom

K. Matsunami Japan

R K Pratt United Kingdom

Alan M. Robinson United States

Sophie C. Payne Australia

Bong Jin Kang South Korea

Naoki Akamatsu Japan

Robert J. Cowie United States

Satoshi Yamamoto Japan

Kristy Tan

87 ×0.4

CMN

82 ×0.6

CN

80 ×0.7

EAS

57 ×0.6

BE

38 ×0.4

RNMI

Citations per year, relative to Kristy Tan Kristy Tan (= 1×) peers Satoshi Yamamoto

Countries citing papers authored by Kristy Tan

Since Specialization

Citations

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

Fields of papers citing papers by Kristy Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristy Tan

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

All Works

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10 of 10 papers shown

1.

Tan, Kristy, Mengli Chen, Cui Liang, et al.. (2025). Rapid Determination of Iron in Serum and Plasma Using Micromagnetic Resonance Relaxometry (μMRR). Analytical Chemistry. 97(27). 14142–14149.

2.

Tan, Kristy, Wenzhu Mowrey, Rick Abbott, et al.. (2018). Diffusion tensor imaging and ventricle volume quantification in patients with chronic shunt-treated hydrocephalus: a matched case-control study. Journal of neurosurgery. 129(6). 1611–1622. 25 indexed citations

3.

Tan, Kristy, Lauriane Jugé, Alice Hatt, Shaokoon Cheng, & Lynne E. Bilston. (2018). Measurement of large strain properties in calf muscles in vivo using magnetic resonance elastography and spatial modulation of magnetization. NMR in Biomedicine. 31(10). e3925–e3925. 11 indexed citations

4.

Tan, Kristy, et al.. (2015). Effect of endoscopic third ventriculostomy on cerebrospinal fluid pressure in the cerebral ventricles. Journal of Clinical Neuroscience. 23. 63–67. 6 indexed citations

5.

Hatt, Alice, Shaokoon Cheng, Kristy Tan, Ralph Sinkus, & Lynne E. Bilston. (2015). MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compression. American Journal of Neuroradiology. 36(10). 1971–1977. 45 indexed citations

6.

Tan, Kristy, Shaokoon Cheng, Lauriane Jugé, & Lynne E. Bilston. (2015). Characterising skeletal muscle under large strain using eccentric and Fourier Transform-rheology. Journal of Biomechanics. 48(14). 3788–3795. 10 indexed citations

7.

Bilston, Lynne E. & Kristy Tan. (2014). Measurement of Passive Skeletal Muscle Mechanical Properties In Vivo: Recent Progress, Clinical Applications, and Remaining Challenges. Annals of Biomedical Engineering. 43(2). 261–273. 56 indexed citations

8.

Tan, Kristy, Shaokoon Cheng, Lauriane Jugé, & Lynne E. Bilston. (2013). Characterising soft tissues under large amplitude oscillatory shear and combined loading. Journal of Biomechanics. 46(6). 1060–1066. 45 indexed citations

9.

Cheng, Shaokoon, Kristy Tan, & Lynne E. Bilston. (2009). The effects of the interthalamic adhesion position on cerebrospinal fluid dynamics in the cerebral ventricles. Journal of Biomechanics. 43(3). 579–582. 23 indexed citations

10.

Holstege, Gert, Linda C. Meiners, & Kristy Tan. (1985). Projections of the bed nucleus of the stria terminalis to the mesencephalon, pons, and medulla oblongata in the cat. Experimental Brain Research. 58(2). 379–91. 279 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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