Agatha D. Lee

2.9k total citations
40 papers, 2.2k citations indexed

About

Agatha D. Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Agatha D. Lee has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Cognitive Neuroscience and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Agatha D. Lee's work include Advanced Neuroimaging Techniques and Applications (26 papers), Fetal and Pediatric Neurological Disorders (10 papers) and Functional Brain Connectivity Studies (9 papers). Agatha D. Lee is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (26 papers), Fetal and Pediatric Neurological Disorders (10 papers) and Functional Brain Connectivity Studies (9 papers). Agatha D. Lee collaborates with scholars based in United States, Australia and France. Agatha D. Lee's co-authors include Paul M. Thompson, Arthur W. Toga, Tony F. Chan, Allan L. Reiss, Marina Barysheva, Margaret J. Wright, Greig I. de Zubicaray, Katie L. McMahon, Albert M. Galaburda and Ursula Bellugi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Agatha D. Lee

39 papers receiving 2.1k citations

Peers

Agatha D. Lee

RNMI

PMH

GENET

Veli-Pekka Poutanen Finland

Margherita Di Paola Italy

Haruyasu Yamada Japan

Unn K. Haukvik Norway

Shirley Anker United Kingdom

Christian Richelme France

Andrew E. Switala United States

Donna Dierker United States

Steven A. Chance United Kingdom

Sylvain Gouttard United States

Veli-Pekka Poutanen Finland

Agatha D. Lee

1.2k ×1.3

1.0k ×1.2

RNMI

770 ×1.7

PMH

280 ×0.8

429 ×1.2

GENET

Citations per year, relative to Agatha D. Lee Agatha D. Lee (= 1×) peers Veli-Pekka Poutanen

Countries citing papers authored by Agatha D. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Agatha D. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agatha D. Lee. 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 Agatha D. Lee. The network helps show where Agatha D. Lee may publish in the future.

Co-authorship network of co-authors of Agatha D. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Agatha D. Lee. A scholar is included among the top collaborators of Agatha D. Lee 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 Agatha D. Lee. Agatha D. Lee 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

Leporé, Natasha, Caroline Brun, Maxime Descoteaux, et al.. (2010). Multivariate group-wise genetic analysis of white matter integrity using orientation distribution functions. Molecular Carcinogenesis. 7(3). 157–64. 1 indexed citations

Joshi, Anand A., Shantanu H. Joshi, Agatha D. Lee, et al.. (2010). A genetic analysis of cortical thickness in 372 twins. PubMed. 2010. 101–104. 1 indexed citations

Zhan, Liang, Alex Leow, Neda Jahanshad, et al.. (2010). Genetic analysis of high angular resolution diffusion images (HARDI). Lecture notes in computer science. 61–71. 1 indexed citations

Jahanshad, Neda, Agatha D. Lee, Marina Barysheva, et al.. (2010). Genetic influences on brain asymmetry: A DTI study of 374 twins and siblings. NeuroImage. 52(2). 455–469. 105 indexed citations

Chan, Tony F., Marina Barysheva, David W. Shattuck, et al.. (2009). Genetics of Brain Fiber Architecture and Intellectual Performance. Journal of Neuroscience. 29(7). 2212–2224. 288 indexed citations

Leporé, Natasha, Patrice Voss, Franco Leporé, et al.. (2009). Brain structure changes visualized in early- and late-onset blind subjects. NeuroImage. 49(1). 134–140. 97 indexed citations

Leporé, Natasha, Xavier Pennec, Agatha D. Lee, et al.. (2009). Mapping the regional influence of genetics on brain structure variability — A Tensor-Based Morphometry study. NeuroImage. 48(1). 37–49. 66 indexed citations

Lee, Agatha D., Natasha Leporé, Caroline Brun, et al.. (2009). Tensor-Based Analysis of Genetic Influences on Brain Integrity Using DTI in 100 Twins. Lecture notes in computer science. 12(Pt 1). 967–974. 12 indexed citations

Zhan, Liang, Alex Leow, Neda Jahanshad, et al.. (2009). How does angular resolution affect diffusion imaging measures?. NeuroImage. 49(2). 1357–1371. 58 indexed citations

10.

Leporé, Natasha, Franco Leporé, Yi‐Yu Chou, et al.. (2009). 3D Mapping of brain differences in native signing congenitally and prelingually deaf subjects. Human Brain Mapping. 31(7). 970–978. 31 indexed citations

11.

Brun, Caroline, Natasha Leporé, Xavier Pennec, et al.. (2008). A Tensor-Based Morphometry Study of Genetic Influences on Brain Structure Using a New Fluid Registration Method. Lecture notes in computer science. 11(Pt 2). 914–921. 23 indexed citations

12.

Brun, Caroline, Xavier Pennec, Yi‐Yu Chou, et al.. (2008). A new registration method based on Log-Euclidean Tensor metrics and its application to genetic studies. PubMed. 2008. 1115–1118. 7 indexed citations

13.

Bearden, Carrie E., Theo G.M. van Erp, Rebecca A. Dutton, et al.. (2008). Alterations in Midline Cortical Thickness and Gyrification Patterns Mapped in Children with 22q11.2 Deletions. Cerebral Cortex. 19(1). 115–126. 65 indexed citations

14.

Bearden, Carrie E., David C. Glahn, Agatha D. Lee, et al.. (2008). Neural phenotypes of common and rare genetic variants. Biological Psychology. 79(1). 43–57. 9 indexed citations

15.

Bearden, Carrie E., Paul M. Thompson, Manish Dalwani, et al.. (2007). Greater Cortical Gray Matter Density in Lithium-Treated Patients with Bipolar Disorder. Biological Psychiatry. 62(1). 7–16. 203 indexed citations

16.

Chan, Tony F., Allan L. Reiss, Agatha D. Lee, et al.. (2007). 3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry. NeuroImage. 36(4). 1096–1109. 162 indexed citations

17.

Shi, Yonggang, Zhuowen Tu, Allan L. Reiss, et al.. (2007). Joint Sulci Detection Using Graphical Models and Boosted Priors. Lecture notes in computer science. 20. 98–109. 8 indexed citations

18.

Leow, Alex, Igor Yanovsky, Tony F. Chan, et al.. (2007). Statistical Properties of Jacobian Maps and the Realization of Unbiased Large-Deformation Nonlinear Image Registration. IEEE Transactions on Medical Imaging. 26(6). 822–832. 155 indexed citations

19.

Lee, Agatha D., Alex Leow, Allen Lu, et al.. (2006). 3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry. NeuroImage. 34(3). 924–938. 60 indexed citations

20.

Eckert, Mark A., Albert M. Galaburda, Asya Karchemskiy, et al.. (2006). Anomalous sylvian fissure morphology in Williams syndrome. NeuroImage. 33(1). 39–45. 49 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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