Trygve B. Leergaard

3.8k total citations
77 papers, 2.4k citations indexed

About

Trygve B. Leergaard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Trygve B. Leergaard has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 29 papers in Cellular and Molecular Neuroscience and 22 papers in Biophysics. Recurrent topics in Trygve B. Leergaard's work include Neuroscience and Neuropharmacology Research (25 papers), Cell Image Analysis Techniques (22 papers) and Functional Brain Connectivity Studies (22 papers). Trygve B. Leergaard is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Cell Image Analysis Techniques (22 papers) and Functional Brain Connectivity Studies (22 papers). Trygve B. Leergaard collaborates with scholars based in Norway, United States and Germany. Trygve B. Leergaard's co-authors include Jan G. Bjaalie, Anders M. Dale, Eszter A. Papp, G. Allan Johnson, Helen D’Arceuil, Nathan S. White, Evan Calabrese, Menno P. Witter, Maja Puchades and Ingeborg Bolstad and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Trygve B. Leergaard

73 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trygve B. Leergaard Norway 28 1.0k 805 688 438 391 77 2.4k
Tonghui Xu China 21 763 0.8× 986 1.2× 258 0.4× 604 1.4× 361 0.9× 41 2.5k
Frederic von Wegner Germany 26 1.3k 1.3× 564 0.7× 408 0.6× 825 1.9× 318 0.8× 62 3.1k
Pablo Blinder Israel 23 582 0.6× 809 1.0× 667 1.0× 647 1.5× 756 1.9× 49 3.2k
Alexandra Badea United States 26 619 0.6× 397 0.5× 1.1k 1.5× 483 1.1× 165 0.4× 72 2.2k
Tara Keck United Kingdom 16 1.2k 1.1× 1.5k 1.8× 155 0.2× 589 1.3× 347 0.9× 20 2.5k
Jan G. Bjaalie Norway 38 1.7k 1.7× 1.7k 2.1× 755 1.1× 743 1.7× 903 2.3× 117 4.2k
Ricardo Mostany United States 24 612 0.6× 1.1k 1.3× 159 0.2× 596 1.4× 468 1.2× 56 2.4k
Jamie D. Boyd Canada 22 1.2k 1.2× 1.5k 1.9× 160 0.2× 647 1.5× 479 1.2× 40 2.6k
Zografos Caramanos Canada 28 1.6k 1.6× 739 0.9× 1.1k 1.6× 391 0.9× 210 0.5× 43 3.8k
Adrienne Dorr Canada 17 584 0.6× 387 0.5× 502 0.7× 414 0.9× 617 1.6× 37 2.2k

Countries citing papers authored by Trygve B. Leergaard

Since Specialization
Citations

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

Fields of papers citing papers by Trygve B. Leergaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trygve B. Leergaard. 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 Trygve B. Leergaard. The network helps show where Trygve B. Leergaard may publish in the future.

Co-authorship network of co-authors of Trygve B. Leergaard

This figure shows the co-authorship network connecting the top 25 collaborators of Trygve B. Leergaard. A scholar is included among the top collaborators of Trygve B. Leergaard 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 Trygve B. Leergaard. Trygve B. Leergaard 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.
Puchades, Maja, et al.. (2025). Software and pipelines for registration and analyses of rodent brain image data in reference atlas space. Frontiers in Neuroinformatics. 19. 1629388–1629388.
2.
Yates, Sharon C., et al.. (2025). DeMBA: a developmental atlas for navigating the mouse brain in space and time. Nature Communications. 16(1). 8108–8108. 1 indexed citations
3.
Yates, Sharon C., N. E. Groeneboom, Niran Hadad, et al.. (2024). Detecting the effect of genetic diversity on brain composition in an Alzheimer’s disease mouse model. Communications Biology. 7(1). 605–605. 7 indexed citations
4.
Swieten, Maaike M.H. van, Maja Puchades, Chiara Tocco, et al.. (2024). Spatially integrated cortico-subcortical tracing data for analyses of rodent brain topographical organization. Scientific Data. 11(1). 1214–1214. 1 indexed citations
5.
Groenewegen, H.J., et al.. (2024). Comparison of basal ganglia regions across murine brain atlases using metadata models and the Waxholm Space. Scientific Data. 11(1). 1036–1036. 1 indexed citations
6.
Gillespie, Tom, Lyuba Zehl, Timo Dickscheid, et al.. (2023). AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures. Scientific Data. 10(1). 486–486. 7 indexed citations
7.
Bjaalie, Jan G., et al.. (2023). The efferent connections of the orbitofrontal, posterior parietal, and insular cortex of the rat brain. Scientific Data. 10(1). 645–645. 2 indexed citations
8.
Clascá, Francisco, et al.. (2023). Waxholm Space atlas of the rat brain: a 3D atlas supporting data analysis and integration. Nature Methods. 20(11). 1822–1829. 30 indexed citations
9.
Haug, Finn‐Mogens Šmejda, et al.. (2023). A Timm-Nissl multiplane microscopic atlas of rat brain zincergic terminal fields and metal-containing glia. Scientific Data. 10(1). 150–150. 3 indexed citations
10.
Leergaard, Trygve B. & Jan G. Bjaalie. (2022). Atlas-based data integration for mapping the connections and architecture of the brain. Science. 378(6619). 488–492. 30 indexed citations
11.
12.
Puchades, Maja, et al.. (2021). Cerebral Amyloid Angiopathy in a Mouse Model of Alzheimer’s Disease Associates with Upregulated Angiopoietin and Downregulated Hypoxia-Inducible Factor. Journal of Alzheimer s Disease. 83(4). 1651–1663. 8 indexed citations
13.
Puchades, Maja, et al.. (2020). Database of literature derived cellular measurements from the murine basal ganglia. Scientific Data. 7(1). 211–211. 7 indexed citations
14.
Yates, Sharon C., et al.. (2020). Densities and numbers of calbindin and parvalbumin positive neurons across the rat and mouse brain. iScience. 24(1). 101906–101906. 39 indexed citations
15.
Puchades, Maja, et al.. (2019). Spatial registration of serial microscopic brain images to three-dimensional reference atlases with the QuickNII tool. PLoS ONE. 14(5). e0216796–e0216796. 89 indexed citations
16.
Steen, Harald, et al.. (2014). Lengths of the external hip rotators in mobilized cadavers indicate the quadriceps coxa as a primary abductor and extensor of the flexed hip. Clinical Biomechanics. 29(7). 794–802. 26 indexed citations
17.
Nagelhus, Erlend A., Mahmood Amiry‐Moghaddam, Linda H. Bergersen, et al.. (2013). The glia doctrine: Addressing the role of glial cells in healthy brain ageing. Mechanisms of Ageing and Development. 134(10). 449–459. 26 indexed citations
18.
Leergaard, Trygve B., et al.. (2006). Topographical organization of pathways from somatosensory cortex through the pontine nuclei to tactile regions of the rat cerebellar hemispheres. European Journal of Neuroscience. 24(10). 2801–2812. 29 indexed citations
19.
Bjaalie, Jan G., et al.. (2005). Database and tools for analysis of topographic organization and map transformations in major projection systems of the brain. Neuroscience. 136(3). 681–695. 23 indexed citations
20.
Brevik, Asgeir, Trygve B. Leergaard, Marius Svanevik, & Jan G. Bjaalie. (2001). Three-dimensional computerised atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data. Anatomy and Embryology. 204(4). 319–332. 25 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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