Brian M. Schilder

3.1k total citations
20 papers, 532 citations indexed

About

Brian M. Schilder is a scholar working on Molecular Biology, Social Psychology and Neurology. According to data from OpenAlex, Brian M. Schilder has authored 20 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Social Psychology and 5 papers in Neurology. Recurrent topics in Brian M. Schilder's work include Bioinformatics and Genomic Networks (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Epigenetics and DNA Methylation (3 papers). Brian M. Schilder is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Epigenetics and DNA Methylation (3 papers). Brian M. Schilder collaborates with scholars based in United States, United Kingdom and Netherlands. Brian M. Schilder's co-authors include Towfique Raj, Denis Torre, Maxim V. Kuleshov, Alexander Lachmann, Avi Ma’ayan, Alexandra Keenan, Elisa Navarro, Nathan Skene, Francys Subiaul and Jack Humphrey and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Brian M. Schilder

19 papers receiving 525 citations

Peers

Countries citing papers authored by Brian M. Schilder

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Schilder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Schilder. 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 Brian M. Schilder. The network helps show where Brian M. Schilder may publish in the future.

Co-authorship network of co-authors of Brian M. Schilder

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Schilder. A scholar is included among the top collaborators of Brian M. Schilder 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 Brian M. Schilder. Brian M. Schilder 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

#	Work	Indexed citations
1	CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks 2025 ·Nature Communications ·(unknown), (unknown), Di Hu, Joy N. Ismail, Brian M. Schilder, Alexi Nott, Nathan Skene, Sarah J. Marzi	1
2	monarchr: an R package for querying biomedical knowledge graphs 2025 ·Bioinformatics ·Shawn T. O’Neil, Brian M. Schilder, Kevin Schaper, Corey Cox, Daniel Korn, Sarah Gehrke, Chris Mungall, Melissa Haendel	0
3	rworkflows: automating reproducible practices for the R community 2024 ·Nature Communications ·Brian M. Schilder, (unknown), Nathan Skene	3
4	EpiCompare: R package for the comparison and quality control of epigenomic peak files 2023 ·Bioinformatics Advances ·(unknown), Brian M. Schilder, (unknown), (unknown), Nathan Skene	2
5	Artificial intelligence for neurodegenerative experimental models 2023 ·Alzheimer s & Dementia ·Sarah J. Marzi, Brian M. Schilder, Alexi Nott, Carlo Sala Frigerio, Sandrine Willaime‐Morawek, Magda Bucholc, Diane P. Hanger, Charlotte James, Patrick A. Lewis, Ilianna Lourida, Wendy Noble, (unknown), (unknown), (unknown), Laura Winchester, (unknown), Zhi Yao, (unknown), Janice M. Ranson, David J. Llewellyn	15
6	Artificial intelligence for dementia research methods optimization 2023 ·Alzheimer s & Dementia ·Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke, Amir Dehsarvi, Christopher R. Madan, Sarah J. Marzi, (unknown), Brian M. Schilder, Stefano Tamburin, (unknown), (unknown), Ilianna Lourida, David J. Llewellyn, Janice M. Ranson	15
7	Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies 2022 ·Nature Genetics ·Kátia de Paiva Lopes, Gijsje J. L. Snijders, Jack Humphrey, Amanda Allan, Marjolein A. M. Sneeboer, Elisa Navarro, Brian M. Schilder, Ricardo A. Vialle, Madison Parks, Roy Missall, (unknown), Frederieke Gigase, Raphael Kübler, Amber Berdenis van Berlekom, Emily M. Hicks, Chotima Böttcher, Josef Priller, René S. Kahn, Lot D. de Witte, Towfique Raj	127
8	MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics 2021 ·Bioinformatics ·(unknown), Brian M. Schilder, Nathan Skene	41
9	Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants 2021 ·Human Molecular Genetics ·Brian M. Schilder, Towfique Raj	19
10	echolocatoR : an automated end-to-end statistical and functional genomic fine-mapping pipeline 2021 ·Bioinformatics ·Brian M. Schilder, Jack Humphrey, Towfique Raj	16
11	Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci 2021 ·iScience ·Chang Moon, Brian M. Schilder, Towfique Raj, Kuan‐lin Huang	9
12	Multi-omic insights into Parkinson's Disease: From genetic associations to functional mechanisms 2021 ·Neurobiology of Disease ·Brian M. Schilder, Elisa Navarro, Towfique Raj	24
13	Tensor decomposition of stimulated monocyte and macrophage gene expression profiles identifies neurodegenerative disease-specific trans-eQTLs 2020 ·PLoS Genetics ·(unknown), Elisa Navarro, (unknown), Anastasia G. Efthymiou, Brian M. Schilder, Madison Parks, Alison Goate, Towfique Raj	15
14	Evolutionary shifts dramatically reorganized the human hippocampal complex 2019 ·The Journal of Comparative Neurology ·Brian M. Schilder, Heywood M. Petry, Patrick R. Hof	13
15	Geneshot: search engine for ranking genes from arbitrary text queries 2019 ·Nucleic Acids Research ·Alexander Lachmann, Brian M. Schilder, Megan L. Wojciechowicz, Denis Torre, Maxim V. Kuleshov, Alexandra Keenan, Avi Ma’ayan	54
16	eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks 2018 ·Nucleic Acids Research ·Daniel Clarke, Maxim V. Kuleshov, Brian M. Schilder, Denis Torre, Mary E. Duffy, Alexandra Keenan, Alexander Lachmann, (unknown), Gregory W. Gundersen, Moshe C. Silverstein, Zichen Wang, Avi Ma’ayan	133
17	Take the monkey and run 2015 ·Journal of Neuroscience Methods ·Kimberley A. Phillips, (unknown), (unknown), Brian M. Schilder, Corinna N. Ross, Suzette D. Tardif	2
18	Defining Elemental Imitation Mechanisms: A Comparison of Cognitive and Motor-Spatial Imitation Learning Across Object- and Computer-Based Tasks 2015 ·Journal of Cognition and Development ·Francys Subiaul, Laura Zimmermann, Elizabeth Renner, Brian M. Schilder, Rachel Barr	11
19	Working memory constraints on imitation and emulation 2014 ·Journal of Experimental Child Psychology ·Francys Subiaul, Brian M. Schilder	15
20	Becoming a high‐fidelity – super – imitator: what are the contributions of social and individual learning? 2014 ·Developmental Science ·Francys Subiaul, Eric M. Patterson, Brian M. Schilder, Elizabeth Renner, Rachel Barr	17

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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