Olivia Liang

400 total citations
10 papers, 291 citations indexed

About

Olivia Liang is a scholar working on Genetics, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Olivia Liang has authored 10 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Olivia Liang's work include Glioma Diagnosis and Treatment (3 papers), Advanced Memory and Neural Computing (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Olivia Liang is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Advanced Memory and Neural Computing (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Olivia Liang collaborates with scholars based in United States and Canada. Olivia Liang's co-authors include Elizabeth Aylward, Kurt E. Weaver, Todd L. Richards, Ali Samii, Mercy Laurino, Theodore P. Beauchaine, Katherine E. Shannon, Sheila E. Crowell, Lisa M. Gatzke‐Kopp and L. Clark Johnson and has published in prestigious journals such as Journal of Abnormal Psychology, Journal of Autism and Developmental Disorders and Experimental Neurology.

In The Last Decade

Olivia Liang

10 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivia Liang United States	8	113	78	74	74	64	10	291
Antonietta Canna Italy	12	38 0.3×	56 0.7×	94 1.3×	105 1.4×	120 1.9×	35	390
June van Aalst Belgium	9	82 0.7×	60 0.8×	84 1.1×	71 1.0×	46 0.7×	11	288
Anne Assmann Germany	13	67 0.6×	111 1.4×	161 2.2×	45 0.6×	15 0.2×	21	403
R Juh South Korea	8	81 0.7×	157 2.0×	105 1.4×	61 0.8×	30 0.5×	18	350
Erik-Jan Vlieger Netherlands	6	48 0.4×	44 0.6×	134 1.8×	117 1.6×	158 2.5×	7	455
Cinzia Femiano Italy	16	87 0.8×	370 4.7×	84 1.1×	38 0.5×	53 0.8×	25	516
Yuu Kaneko Japan	14	130 1.2×	78 1.0×	221 3.0×	26 0.4×	40 0.6×	49	566
Anna Calvo Spain	13	39 0.3×	37 0.5×	162 2.2×	125 1.7×	150 2.3×	21	411
Carmen Lisa Jorge Brazil	13	148 1.3×	118 1.5×	94 1.3×	20 0.3×	18 0.3×	30	398
David Satzer United States	13	145 1.3×	191 2.4×	85 1.1×	41 0.6×	19 0.3×	24	386

Countries citing papers authored by Olivia Liang

Since Specialization

Citations

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

Fields of papers citing papers by Olivia Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivia Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Olivia Liang. A scholar is included among the top collaborators of Olivia Liang 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 Olivia Liang. Olivia Liang 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

Lok, Edwin, et al.. (2025). Hydrogel and scalp/skin conductivities impact dose from tumor treating fields. Frontiers in Bioengineering and Biotechnology. 13. 1484317–1484317. 1 indexed citations

Lok, Edwin, et al.. (2023). Computational Analysis of Tumor Treating Fields for Non-Small Cell Lung Cancer in Full Thoracic Models. Advances in Radiation Oncology. 8(4). 101203–101203. 7 indexed citations

Lok, Edwin, et al.. (2022). Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors. Advances in Radiation Oncology. 8(1). 101046–101046. 8 indexed citations

Lok, Edwin, et al.. (2021). Tumor Treating Fields for Ovarian Carcinoma: A Modeling Study. Advances in Radiation Oncology. 6(4). 100716–100716. 10 indexed citations

Lok, Edwin, et al.. (2020). Finite element analysis of Tumor Treating Fields in a patient with posterior fossa glioblastoma. Journal of Neuro-Oncology. 147(1). 125–133. 17 indexed citations

Roth, Christian L., et al.. (2012). Functional Neuroimaging in Craniopharyngioma: A Useful Tool to Better Understand Hypothalamic Obesity?. Obesity Facts. 5(2). 243–253. 27 indexed citations

Borghesani, Paul R., Kurt E. Weaver, Elizabeth Aylward, et al.. (2010). Midlife memory improvement predicts preservation of hippocampal volume in old age. Neurobiology of Aging. 33(7). 1148–1155. 8 indexed citations

Weaver, Kurt E., Todd L. Richards, Olivia Liang, et al.. (2009). Longitudinal diffusion tensor imaging in Huntington's Disease. Experimental Neurology. 216(2). 525–529. 99 indexed citations

Kleinhans, Natalia M., Todd L. Richards, Kurt E. Weaver, et al.. (2009). Brief Report: Biochemical Correlates of Clinical Impairment in High Functioning Autism and Asperger’s Disorder. Journal of Autism and Developmental Disorders. 39(7). 1079–1086. 20 indexed citations

10.

Gatzke‐Kopp, Lisa M., Theodore P. Beauchaine, Katherine E. Shannon, et al.. (2009). Neurological correlates of reward responding in adolescents with and without externalizing behavior disorders.. Journal of Abnormal Psychology. 118(1). 203–213. 94 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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