Nate Stockham

1.3k total citations · 1 hit paper
27 papers, 637 citations indexed

About

Nate Stockham is a scholar working on Cognitive Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Nate Stockham has authored 27 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 11 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Nate Stockham's work include Autism Spectrum Disorder Research (15 papers), Virology and Viral Diseases (7 papers) and Genomics and Phylogenetic Studies (5 papers). Nate Stockham is often cited by papers focused on Autism Spectrum Disorder Research (15 papers), Virology and Viral Diseases (7 papers) and Genomics and Phylogenetic Studies (5 papers). Nate Stockham collaborates with scholars based in United States, France and Canada. Nate Stockham's co-authors include Kelley Paskov, Dennis P. Wall, Brianna Chrisman, Peter Washington, Jae-Yoon Jung, Maya Varma, Aaron Kline, Jennifer K. Lowe, David A. Prober and Laura Pérez‐Cano and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Nate Stockham

27 papers receiving 625 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks

2019 257 citations Elizabeth K. Ruzzo, Laura Pérez‐Cano et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nate Stockham United States	13	330	211	191	102	67	27	637
Kelley Paskov United States	16	333 1.0×	309 1.5×	197 1.0×	105 1.0×	73 1.1×	33	747
Jae-Yoon Jung United States	12	342 1.0×	243 1.2×	257 1.3×	89 0.9×	63 0.9×	30	680
Todd F. DeLuca United States	12	346 1.0×	285 1.4×	190 1.0×	148 1.5×	102 1.5×	17	780
Jeanne P. Ryan United States	16	147 0.4×	273 1.3×	200 1.0×	129 1.3×	149 2.2×	30	868
Johannes Schumacher Germany	23	184 0.6×	547 2.6×	646 3.4×	98 1.0×	93 1.4×	83	1.9k
Sara Forti Italy	11	354 1.1×	45 0.2×	71 0.4×	78 0.8×	31 0.5×	16	457
Christopher W. Bartlett United States	21	476 1.4×	276 1.3×	577 3.0×	140 1.4×	44 0.7×	58	1.4k
Gilles J. P. Rautureau France	18	111 0.3×	475 2.3×	42 0.2×	13 0.1×	91 1.4×	39	916
Michael A. Mooney United States	19	228 0.7×	344 1.6×	213 1.1×	8 0.1×	56 0.8×	43	1.0k
Jinhua Sun China	12	420 1.3×	54 0.3×	59 0.3×	138 1.4×	12 0.2×	27	835

Countries citing papers authored by Nate Stockham

Since Specialization

Citations

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

Fields of papers citing papers by Nate Stockham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nate Stockham

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

All Works

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20 of 20 papers shown

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

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

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

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

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

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

Chrisman, Brianna, Kelley Paskov, Chloe He, et al.. (2022). A Method for Localizing Non-Reference Sequences to the Human Genome.. PubMed. 27. 313–324. 2 indexed citations

Chrisman, Brianna, Chloe He, Jae-Yoon Jung, et al.. (2022). The human “contaminome”: bacterial, viral, and computational contamination in whole genome sequences from 1000 families. Scientific Reports. 12(1). 9863–9863. 32 indexed citations

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

10.

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

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.

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

13.

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

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.

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

16.

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

17.

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

18.

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

19.

Ruzzo, Elizabeth K., Laura Pérez‐Cano, Jae-Yoon Jung, et al.. (2019). Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks. Cell. 178(4). 850–866.e26. 257 indexed citations breakdown →

20.

Gupta, Anika, Min Sun, Kelley Paskov, et al.. (2017). Coalitional game theory as a promising approach to identify candidate autism genes. PubMed. 23. 436–447. 3 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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