Tanner Koomar

1.7k total citations
9 papers, 137 citations indexed

About

Tanner Koomar is a scholar working on Cognitive Neuroscience, Genetics and Artificial Intelligence. According to data from OpenAlex, Tanner Koomar has authored 9 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Tanner Koomar's work include Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Functional Brain Connectivity Studies (3 papers). Tanner Koomar is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Functional Brain Connectivity Studies (3 papers). Tanner Koomar collaborates with scholars based in United States and United Kingdom. Tanner Koomar's co-authors include Jacob J. Michaelson, Taylor Thomas, Natalie Pottschmidt, Ethan Bahl, Michael Lutter, Leo Brueggeman, Lucas G. Casten, Brooke G. McKenna, Kévin Vervier and Angela Zhang and has published in prestigious journals such as Bioinformatics, Scientific Reports and Translational Psychiatry.

In The Last Decade

Tanner Koomar

8 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanner Koomar United States	7	68	55	54	43	33	9	137
Deborah A. Napolitano United States	10	152 2.2×	48 0.9×	97 1.8×	69 1.6×	22 0.7×	20	247
Laurence Laurier France	4	142 2.1×	27 0.5×	35 0.6×	63 1.5×	32 1.0×	7	199
Álvaro Andreu-Bernabeu Spain	5	48 0.7×	29 0.5×	37 0.7×	39 0.9×	11 0.3×	11	106
Ramón Novell Spain	10	83 1.2×	36 0.7×	57 1.1×	125 2.9×	53 1.6×	19	262
Bianca Auschra Switzerland	8	75 1.1×	43 0.8×	17 0.3×	29 0.7×	22 0.7×	19	199
Mary S. Mufford South Africa	7	52 0.8×	36 0.7×	26 0.5×	51 1.2×	24 0.7×	9	133
Pauline Chaste France	5	46 0.7×	81 1.5×	48 0.9×	46 1.1×	37 1.1×	9	207
Marjolein M. J. van Donkelaar Netherlands	8	47 0.7×	38 0.7×	52 1.0×	39 0.9×	37 1.1×	10	161
Angela E. John United States	8	106 1.6×	32 0.6×	19 0.4×	81 1.9×	41 1.2×	10	385
Catherine Bois United Kingdom	6	97 1.4×	21 0.4×	53 1.0×	27 0.6×	17 0.5×	6	172

Countries citing papers authored by Tanner Koomar

Since Specialization

Citations

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

Fields of papers citing papers by Tanner Koomar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanner Koomar

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

All Works

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9 of 9 papers shown

1.

Thomas, Taylor, et al.. (2022). Clinical autism subscales have common genetic liabilities that are heritable, pleiotropic, and generalizable to the general population. Translational Psychiatry. 12(1). 247–247. 12 indexed citations

2.

McKenna, Brooke G., Kévin Vervier, Angela Zhang, et al.. (2021). Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts. Molecular Autism. 12(1). 6 indexed citations

3.

Koomar, Tanner, Taylor Thomas, Natalie Pottschmidt, Michael Lutter, & Jacob J. Michaelson. (2021). Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort. Frontiers in Psychiatry. 12. 668297–668297. 54 indexed citations

4.

Koomar, Tanner & Jacob J. Michaelson. (2020). Genetic Intersections of Language and Neuropsychiatric Conditions. Current Psychiatry Reports. 22(1). 4–4. 8 indexed citations

5.

Brueggeman, Leo, Tanner Koomar, & Jacob J. Michaelson. (2020). Forecasting risk gene discovery in autism with machine learning and genome-scale data. Scientific Reports. 10(1). 4569–4569. 23 indexed citations

6.

Brueggeman, Leo, et al.. (2020). Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks. 56. 1–4.

7.

McKenna, Brooke G., et al.. (2018). Whole-genome sequencing in a family with twin boys with autism and intellectual disability suggests multimodal polygenic risk. Molecular Case Studies. 4(6). a003285–a003285. 8 indexed citations

8.

Bahl, Ethan, Tanner Koomar, & Jacob J. Michaelson. (2017). Cerebroviz: An R Package For Anatomical Visualization of Spatiotemporal Brain Data. European Neuropsychopharmacology. 27. S367–S367. 2 indexed citations

9.

Bahl, Ethan, Tanner Koomar, & Jacob J. Michaelson. (2016). cerebroViz: an R package for anatomical visualization of spatiotemporal brain data. Bioinformatics. 33(5). 762–763. 24 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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