Brianna Chrisman

823 total citations
27 papers, 403 citations indexed

About

Brianna Chrisman is a scholar working on Cognitive Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Brianna Chrisman has authored 27 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Brianna Chrisman's work include Autism Spectrum Disorder Research (13 papers), Virology and Viral Diseases (7 papers) and Genomics and Phylogenetic Studies (5 papers). Brianna Chrisman is often cited by papers focused on Autism Spectrum Disorder Research (13 papers), Virology and Viral Diseases (7 papers) and Genomics and Phylogenetic Studies (5 papers). Brianna Chrisman collaborates with scholars based in United States, France and Canada. Brianna Chrisman's co-authors include Dennis P. Wall, Nate Stockham, Peter Washington, Kelley Paskov, Maya Varma, Aaron Kline, Jae-Yoon Jung, Nick Haber, Catalin Voss and Min Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Genome Research.

In The Last Decade

Brianna Chrisman

27 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brianna Chrisman United States 12 185 96 94 60 42 27 403
Maya Varma United States 15 184 1.0× 97 1.0× 62 0.7× 49 0.8× 41 1.0× 29 475
Rajesh Nandy United States 16 382 2.1× 23 0.2× 92 1.0× 28 0.5× 71 1.7× 53 827
Jueun Kim South Korea 12 58 0.3× 111 1.2× 42 0.4× 100 1.7× 98 2.3× 41 535
Matthew A. Christensen United States 10 38 0.2× 41 0.4× 83 0.9× 107 1.8× 23 0.5× 21 574
S. Tessier France 6 127 0.7× 75 0.8× 28 0.3× 18 0.3× 8 0.2× 10 319
Wen Liu China 15 40 0.2× 52 0.5× 141 1.5× 113 1.9× 8 0.2× 61 709
Bolette Daniels Beck Denmark 11 69 0.4× 22 0.2× 93 1.0× 41 0.7× 5 0.1× 31 482
Emma Smith United States 11 91 0.5× 29 0.3× 134 1.4× 114 1.9× 3 0.1× 21 562
Saritha Vermeer United States 6 203 1.1× 80 0.8× 13 0.1× 31 0.5× 15 0.4× 11 252
Saeid Hassanzadeh Iran 12 207 1.1× 35 0.4× 32 0.3× 46 0.8× 2 0.0× 40 516

Countries citing papers authored by Brianna Chrisman

Since Specialization
Citations

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

Fields of papers citing papers by Brianna Chrisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brianna Chrisman

This figure shows the co-authorship network connecting the top 25 collaborators of Brianna Chrisman. A scholar is included among the top collaborators of Brianna Chrisman 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 Brianna Chrisman. Brianna Chrisman 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.
Paskov, Kelley, Brianna Chrisman, Nate Stockham, et al.. (2023). Identifying crossovers and shared genetic material in whole genome sequencing data from families. Genome Research. 33(10). 1747–1756. 2 indexed citations
2.
Tataru, Christine, Erica Rutherford, Xiaochen Yin, et al.. (2023). Topic modeling for multi-omic integration in the human gut microbiome and implications for Autism. Scientific Reports. 13(1). 11353–11353. 6 indexed citations
3.
Varma, Maya, Peter Washington, Brianna Chrisman, et al.. (2022). Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Journal of Medical Internet Research. 24(2). e31830–e31830. 30 indexed citations
4.
Stockham, Nate, Peter Washington, Brianna Chrisman, et al.. (2022). Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation. JMIR Public Health and Surveillance. 8(7). e31306–e31306. 3 indexed citations
5.
Washington, Peter, Haik Kalantarian, John Kent, et al.. (2022). Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR Pediatrics and Parenting. 5(2). e26760–e26760. 17 indexed citations
6.
Washington, Peter, Brianna Chrisman, Émilie Leblanc, et al.. (2022). Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections. Intelligence-Based Medicine. 6. 100056–100056. 8 indexed citations
7.
Kline, Aaron, Onur Cezmi Mutlu, Kelley Paskov, et al.. (2022). The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study. SHILAP Revista de lepidopterología. 7(1). e33771–e33771. 23 indexed citations
8.
Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Mining. 14(1). 20–20. 24 indexed citations
9.
Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinformatics. 22(1). 509–509. 8 indexed citations
10.
Tataru, Christine, Kaitlyn Dunlap, Brianna Chrisman, et al.. (2021). Longitudinal study of stool-associated microbial taxa in sibling pairs with and without autism spectrum disorder. ISME Communications. 1(1). 80–80. 5 indexed citations
11.
Washington, Peter, Qandeel Tariq, Émilie Leblanc, et al.. (2021). Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection. Scientific Reports. 11(1). 7620–7620. 22 indexed citations
12.
Chrisman, Brianna, Kelley Paskov, Chloe He, et al.. (2021). A Method for Localizing Non-Reference Sequences to the Human Genome. 313–324. 2 indexed citations
13.
Paskov, Kelley, Jae-Yoon Jung, Brianna Chrisman, et al.. (2021). Estimating sequencing error rates using families. BioData Mining. 14(1). 27–27. 6 indexed citations
14.
Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine. 10(3). 86–86. 24 indexed citations
15.
Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PubMed. 26. 14–25. 17 indexed citations
16.
Campbell, Kenneth S., Brianna Chrisman, & Stuart G. Campbell. (2020). Multiscale Modeling of Cardiovascular Function Predicts That the End-Systolic Pressure Volume Relationship Can Be Targeted via Multiple Therapeutic Strategies. Frontiers in Physiology. 11. 1043–1043. 11 indexed citations
17.
Sun, Min, Stefano Moretti, Kelley Paskov, et al.. (2020). Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. BMC Bioinformatics. 21(1). 356–356. 11 indexed citations
18.
Washington, Peter, Haik Kalantarian, Qandeel Tariq, et al.. (2019). Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of Medical Internet Research. 21(5). e13668–e13668. 21 indexed citations
19.
Washington, Peter, Catalin Voss, Aaron Kline, et al.. (2019). Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(8). 759–769. 60 indexed citations
20.
Chrisman, Brianna, Maya Varma, Peter Washington, et al.. (2018). Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. 1470–1477. 2 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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