Trygve E. Bakken

16.9k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Trygve E. Bakken is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Trygve E. Bakken has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Neurology. Recurrent topics in Trygve E. Bakken's work include Single-cell and spatial transcriptomics (11 papers), Bioinformatics and Genomic Networks (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Trygve E. Bakken is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Bioinformatics and Genomic Networks (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Trygve E. Bakken collaborates with scholars based in United States, United Kingdom and Sweden. Trygve E. Bakken's co-authors include Ed S. Lein, Jeremy A. Miller, Rebecca D. Hodge, Raphael Bernier, Evan E. Eichler, Nicholas J. Schork, Gavin J. Clowry, Arnold R. Kriegstein, Anna Hoerder‐Suabedissen and A. David Edwards and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Trygve E. Bakken

23 papers receiving 1.4k citations

Hit Papers

Genetic identification of brain cell types underlying sch... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trygve E. Bakken United States 16 849 431 295 217 123 23 1.4k
Stefano Berto United States 20 615 0.7× 345 0.8× 253 0.9× 170 0.8× 113 0.9× 47 1.3k
Shane McCarthy United States 9 1.0k 1.2× 458 1.1× 225 0.8× 324 1.5× 71 0.6× 16 1.5k
Brady J. Maher United States 21 925 1.1× 582 1.4× 292 1.0× 447 2.1× 105 0.9× 43 1.6k
Constance Smith‐Hicks United States 15 555 0.7× 411 1.0× 275 0.9× 413 1.9× 60 0.5× 31 1.1k
Erika Pedrosa United States 21 1.1k 1.3× 555 1.3× 233 0.8× 204 0.9× 68 0.6× 34 1.5k
Eric Wexler United States 16 842 1.0× 343 0.8× 200 0.7× 430 2.0× 100 0.8× 24 1.4k
Marc P. Forrest United States 17 676 0.8× 465 1.1× 186 0.6× 288 1.3× 74 0.6× 28 1.1k
María Dolores Rubio Spain 13 593 0.7× 259 0.6× 178 0.6× 367 1.7× 125 1.0× 20 1.1k
Tetsushi Sadakata Japan 17 566 0.7× 311 0.7× 264 0.9× 431 2.0× 86 0.7× 48 1.1k
Gabriele Lignani Italy 22 829 1.0× 330 0.8× 174 0.6× 679 3.1× 93 0.8× 38 1.5k

Countries citing papers authored by Trygve E. Bakken

Since Specialization
Citations

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

Fields of papers citing papers by Trygve E. Bakken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trygve E. Bakken

This figure shows the co-authorship network connecting the top 25 collaborators of Trygve E. Bakken. A scholar is included among the top collaborators of Trygve E. Bakken 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 E. Bakken. Trygve E. Bakken 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.
Zeighami, Yashar, Trygve E. Bakken, Thomas Nickl‐Jockschat, et al.. (2023). A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases. PLoS Biology. 21(4). e3002058–e3002058. 17 indexed citations
2.
Suresh, Hamsini, Megan Crow, Nikolas L. Jorstad, et al.. (2023). Comparative single-cell transcriptomic analysis of primate brains highlights human-specific regulatory evolution. Nature Ecology & Evolution. 7(11). 1930–1943. 9 indexed citations
3.
Aevermann, Brian D., Yun Zhang, Mark Novotny, et al.. (2021). A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing. Genome Research. 31(10). 1767–1780. 38 indexed citations
4.
Singhal, Khushboo, Mahar Fatima, Rintu Kutum, et al.. (2020). Multiple Alu exonization in 3’UTR of a primate specific isoform of CYP20A1 creates a potential miRNA sponge. Genome Biology and Evolution. 13(1). 8 indexed citations
5.
Zhang, Yun, Brian D. Aevermann, Trygve E. Bakken, et al.. (2020). FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test. Briefings in Bioinformatics. 22(4). 9 indexed citations
6.
Huang, August Yue, Pengpeng Li, Rachel E. Rodin, et al.. (2020). Parallel RNA and DNA analysis after deep sequencing (PRDD-seq) reveals cell type-specific lineage patterns in human brain. Proceedings of the National Academy of Sciences. 117(25). 13886–13895. 29 indexed citations
7.
Miller, Jeremy A., Nathan W. Gouwens, Bosiljka Tasic, et al.. (2020). Common cell type nomenclature for the mammalian brain. eLife. 9. 38 indexed citations
8.
Smith, Stephen J, Uygar Sümbül, Lucas T. Graybuck, et al.. (2019). Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. eLife. 8. 90 indexed citations
9.
Turner, Tychele N., Amy B. Wilfert, Trygve E. Bakken, et al.. (2019). Sex-Based Analysis of De Novo Variants in Neurodevelopmental Disorders. The American Journal of Human Genetics. 105(6). 1274–1285. 87 indexed citations
10.
Molnár, Zoltán, Gavin J. Clowry, Nenad Šestan, et al.. (2019). New insights into the development of the human cerebral cortex. Journal of Anatomy. 235(3). 432–451. 243 indexed citations
11.
Aevermann, Brian D., Mark Novotny, Trygve E. Bakken, et al.. (2018). Cell type discovery using single-cell transcriptomics: implications for ontological representation. Human Molecular Genetics. 27(R1). R40–R47. 33 indexed citations
12.
Skene, Nathan, Julien Bryois, Trygve E. Bakken, et al.. (2018). Genetic identification of brain cell types underlying schizophrenia. Nature Genetics. 50(6). 825–833. 326 indexed citations breakdown →
13.
Coe, Bradley P., Holly A.F. Stessman, Arvis Sulovari, et al.. (2018). Neurodevelopmental disease genes implicated by de novo mutation and copy number variation morbidity. Nature Genetics. 51(1). 106–116. 166 indexed citations
14.
Bakken, Trygve E., Lindsay G. Cowell, Brian D. Aevermann, et al.. (2017). Cell type discovery and representation in the era of high-content single cell phenotyping. BMC Bioinformatics. 18(S17). 559–559. 27 indexed citations
15.
Bakken, Trygve E., Jeremy A. Miller, Rui Luo, et al.. (2015). Spatiotemporal dynamics of the postnatal developing primate brain transcriptome. Human Molecular Genetics. 24(15). 4327–4339. 27 indexed citations
16.
Bakken, Trygve E. & Charles F. Stevens. (2011). Visual system scaling in teleost fish. The Journal of Comparative Neurology. 520(1). 142–153. 8 indexed citations
17.
Bakken, Trygve E.. (2011). Association of Genetic Variants on 15q12 With Cortical Thickness and Cognition in Schizophrenia. Archives of General Psychiatry. 68(8). 781–781. 21 indexed citations
18.
Bakken, Trygve E., et al.. (2011). A Geographic Cline of Skull and Brain Morphology among Individuals of European Ancestry. Human Heredity. 72(1). 35–44. 20 indexed citations
19.
Lakatos, Anita, Olga Derbeneva, David B. Keator, et al.. (2010). Association between mitochondrial DNA variations and Alzheimer's disease in the ADNI cohort. Neurobiology of Aging. 31(8). 1355–1363. 81 indexed citations
20.
Bloss, Cinnamon S., Trygve E. Bakken, Lars M. Rimol, et al.. (2009). A common MECP2 haplotype associates with reduced cortical surface area in humans in two independent populations. Proceedings of the National Academy of Sciences. 106(36). 15483–15488. 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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