Lea Baecker

645 total citations
6 papers, 260 citations indexed

About

Lea Baecker is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lea Baecker has authored 6 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lea Baecker's work include Functional Brain Connectivity Studies (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Lea Baecker is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Lea Baecker collaborates with scholars based in United Kingdom, Italy and Brazil. Lea Baecker's co-authors include Andrea Mechelli, Sandra Vieira, Cristina Scarpazza, Rafael Garcia‐Dias, Walter Hugo Lopez Pinaya, Vince D. Calhoun, Pedro F. da Costa, João Ricardo Sato, Jessica Dafflon and Minji Ha and has published in prestigious journals such as Scientific Reports, Human Brain Mapping and Translational Psychiatry.

In The Last Decade

Lea Baecker

5 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lea Baecker United Kingdom	5	144	70	68	47	35	6	260
Xin Niu United States	7	169 1.2×	73 1.0×	85 1.3×	50 1.1×	45 1.3×	15	288
Maria J. Knol Netherlands	6	84 0.6×	52 0.7×	63 0.9×	27 0.6×	36 1.0×	11	243
Pedro F. da Costa United Kingdom	6	106 0.7×	50 0.7×	35 0.5×	23 0.5×	22 0.6×	11	178
Jessica Dafflon United Kingdom	8	122 0.8×	54 0.8×	29 0.4×	27 0.6×	26 0.7×	10	216
Chang‐Le Chen Taiwan	10	152 1.1×	110 1.6×	94 1.4×	20 0.4×	23 0.7×	19	268
Marián Kolenič Czechia	8	127 0.9×	70 1.0×	141 2.1×	28 0.6×	19 0.5×	16	268
Louis Dieumegarde Canada	8	155 1.1×	142 2.0×	85 1.3×	11 0.2×	19 0.5×	14	291
Harini Eavani United States	9	252 1.8×	156 2.2×	37 0.5×	15 0.3×	16 0.5×	12	314
Ramona Leenings Germany	6	118 0.8×	52 0.7×	53 0.8×	13 0.3×	9 0.3×	9	211
Xiaowen Xu China	12	183 1.3×	108 1.5×	67 1.0×	12 0.3×	13 0.4×	30	293

Countries citing papers authored by Lea Baecker

Since Specialization

Citations

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

Fields of papers citing papers by Lea Baecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Baecker

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

All Works

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6 of 6 papers shown

1.

Baecker, Lea, et al.. (2025). Impacts of extreme heat on mental health: Systematic review and qualitative investigation of the underpinning mechanisms. The Journal of Climate Change and Health. 22. 100446–100446.

2.

Bolton, Thomas A. W., et al.. (2024). Multivariate brain-behaviour associations in psychiatric disorders. Translational Psychiatry. 14(1). 231–231. 19 indexed citations

3.

Pinaya, Walter Hugo Lopez, Cristina Scarpazza, Rafael Garcia‐Dias, et al.. (2021). Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study. Scientific Reports. 11(1). 15746–15746. 37 indexed citations

4.

Baecker, Lea, Rafael Garcia‐Dias, Sandra Vieira, Cristina Scarpazza, & Andrea Mechelli. (2021). Machine learning for brain age prediction: Introduction to methods and clinical applications. EBioMedicine. 72. 103600–103600. 113 indexed citations

5.

Baecker, Lea, Jessica Dafflon, Pedro F. da Costa, et al.. (2021). Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data. Human Brain Mapping. 42(8). 2332–2346. 64 indexed citations

6.

Scarpazza, Cristina, Minji Ha, Lea Baecker, et al.. (2020). Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders. Translational Psychiatry. 10(1). 107–107. 27 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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