Annie Lee

618 total citations
20 papers, 434 citations indexed

About

Annie Lee is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Annie Lee has authored 20 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Annie Lee's work include Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Annie Lee is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Annie Lee collaborates with scholars based in Singapore, Netherlands and Germany. Annie Lee's co-authors include Anqi Qiu, Shen‐Hsing Annabel Chen, Joann S. Poh, Jo A. Archer, Chong‐Yaw Wee, Hui Ji, Chaoqiang Liu, Han Zhang, Marielle V. Fortier and Yap Seng Chong and has published in prestigious journals such as PLoS ONE, NeuroImage and Cerebral Cortex.

In The Last Decade

Annie Lee

20 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annie Lee Singapore 12 241 93 84 55 47 20 434
Tim Hahn Germany 13 242 1.0× 81 0.9× 101 1.2× 26 0.5× 56 1.2× 35 520
Hamdi Eryilmaz United States 13 453 1.9× 140 1.5× 69 0.8× 21 0.4× 36 0.8× 24 682
Sophia I. Thomopoulos United States 12 176 0.7× 232 2.5× 75 0.9× 44 0.8× 48 1.0× 67 465
Hongwei Wen China 12 255 1.1× 191 2.1× 62 0.7× 59 1.1× 16 0.3× 42 487
Mariam Zabihi United Kingdom 7 346 1.4× 113 1.2× 99 1.2× 20 0.4× 26 0.6× 8 471
Luigi A. Maglanoc Norway 11 222 0.9× 66 0.7× 50 0.6× 42 0.8× 14 0.3× 13 423
Roberto Limongi Canada 14 274 1.1× 110 1.2× 145 1.7× 17 0.3× 30 0.6× 33 517
Ronald J. Janssen Netherlands 10 224 0.9× 110 1.2× 46 0.5× 14 0.3× 31 0.7× 16 410
Hideki Kanemoto Japan 13 253 1.0× 33 0.4× 162 1.9× 40 0.7× 11 0.2× 68 582
Nikhil Bhagwat Canada 10 176 0.7× 115 1.2× 111 1.3× 36 0.7× 76 1.6× 24 412

Countries citing papers authored by Annie Lee

Since Specialization
Citations

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

Fields of papers citing papers by Annie Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Annie Lee. A scholar is included among the top collaborators of Annie 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 Annie Lee. Annie Lee 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.
Qiu, Anqi, Han Zhang, Brian K. Kennedy, & Annie Lee. (2020). Spatio-temporal correlates of gene expression and cortical morphology across lifespan and aging. NeuroImage. 224. 117426–117426. 8 indexed citations
2.
Zhang, Han, Annie Lee, Simon B. Eickhoff, et al.. (2020). Do intrinsic brain functional networks predict working memory from childhood to adulthood?. Human Brain Mapping. 41(16). 4574–4586. 10 indexed citations
3.
Wee, Chong‐Yaw, Chaoqiang Liu, Annie Lee, et al.. (2019). Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations. NeuroImage Clinical. 23. 101929–101929. 105 indexed citations
4.
Wang, Qiang, Han Zhang, Chong‐Yaw Wee, et al.. (2019). Maternal sensitivity predicts anterior hippocampal functional networks in early childhood. Brain Structure and Function. 224(5). 1885–1895. 24 indexed citations
5.
Lee, Annie, Joann S. Poh, Daniel J. Wen, et al.. (2019). Long-term Influences of Prenatal Maternal Depressive Symptoms on the Amygdala–Prefrontal Circuitry of the Offspring From Birth to Early Childhood. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(11). 940–947. 22 indexed citations
6.
Lee, Annie, Joann S. Poh, Daniel J. Wen, et al.. (2019). Maternal care in infancy and the course of limbic development. Developmental Cognitive Neuroscience. 40. 100714–100714. 24 indexed citations
7.
Pecheva, Diliana, Annie Lee, Joann S. Poh, et al.. (2019). Neural Transcription Correlates of Multimodal Cortical Phenotypes during Development. Cerebral Cortex. 30(5). 2740–2754. 7 indexed citations
8.
Archer, Jo A., Annie Lee, Anqi Qiu, & Shen‐Hsing Annabel Chen. (2018). Working memory, age and education: A lifespan fMRI study. PLoS ONE. 13(3). e0194878–e0194878. 35 indexed citations
9.
Lee, Annie, Daniel J. Wen, Joann S. Poh, et al.. (2018). Prenatal Maternal Depression and Genes in Relation with Amygdala-Cortical Circuits from Birth to Childhood. SSRN Electronic Journal. 1 indexed citations
10.
Archer, Jo A., Annie Lee, Anqi Qiu, & Shen‐Hsing Annabel Chen. (2017). Functional connectivity of resting-state, working memory and inhibition networks in perceived stress. Neurobiology of Stress. 8. 186–201. 13 indexed citations
11.
Zhang, Han, Annie Lee, & Anqi Qiu. (2017). A posterior-to-anterior shift of brain functional dynamics in aging. Brain Structure and Function. 222(8). 3665–3676. 37 indexed citations
12.
Lee, Annie, et al.. (2017). Psychiatric polygenic risk associates with cortical morphology and functional organization in aging. Translational Psychiatry. 7(12). 1276–1276. 6 indexed citations
13.
Lee, Annie, et al.. (2016). Distinct Aging Effects on Functional Networks in Good and Poor Cognitive Performers. Frontiers in Aging Neuroscience. 8. 215–215. 13 indexed citations
14.
Lee, Annie & Anqi Qiu. (2016). Modulative effects of COMT haplotype on age-related associations with brain morphology. Human Brain Mapping. 37(6). 2068–2082. 11 indexed citations
15.
Lee, Annie & Konstadina Griva. (2015). Motivational Interviewing and Neuroscience: Moving forward while looking deeper. European Health Psychologist. 17(3). 111–114. 1 indexed citations
16.
Lee, Annie, Nagulan Ratnarajah, Ta Anh Tuan, Shen‐Hsing Annabel Chen, & Anqi Qiu. (2015). Adaptation of Brain Functional and Structural Networks in Aging. PLoS ONE. 10(4). e0123462–e0123462. 26 indexed citations
17.
Archer, Jo A., Annie Lee, Anqi Qiu, & Shen‐Hsing Annabel Chen. (2015). A Comprehensive Analysis of Connectivity and Aging Over the Adult Life Span. Brain Connectivity. 6(2). 169–185. 28 indexed citations
18.
Qiu, Anqi, et al.. (2014). Manifold learning on brain functional networks in aging. Medical Image Analysis. 20(1). 52–60. 36 indexed citations
19.
Lee, Annie, et al.. (2013). Age-Related Decline in Associative Learning in Healthy Chinese Adults. PLoS ONE. 8(11). e80648–e80648. 26 indexed citations
20.
Ikram, M. Kamran, Saima Hilal, Eric Ting, et al.. (2012). O4‐02‐06: Cerebral microbleeds and cognitive impairment in community‐dwelling elderly from Singapore. Alzheimer s & Dementia. 8(4S_Part_17). 1 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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