Barbara E. Engelhardt

22.8k citations

79 papers · 5.1k indexed · 2 hit papers · h-index 26

Impact in

Genetics top 1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation

Papers in ⓘ

Artificial Intelligence 32
- AI-based Problem Solving and Planning 15
Computer Networks and Communications 17
- Constraint Satisfaction and Optimization 7
- Distributed systems and fault tolerance 7

Co-authors: Matthew Stephens (3 shared papers)Athma A. Pai (2 shared papers)John C. Marioni (1 shared paper)Jacob F. Degner (1 shared paper)Jean‐Baptiste Veyrieras (1 shared paper)Joseph K. Pickrell (1 shared paper)Yoav Gilad (1 shared paper)Jonathan K. Pritchard (1 shared paper)
Journals: Genome Research (5 papers)Nature Communications (4 papers)PLoS Computational Biology (4 papers)The Annals of Applied Statistics (3 papers)BMC Bioinformatics (3 papers)
Partner nations: United States United Kingdom Israel

In The Last Decade

Barbara E. Engelhardt

70 papers receiving 5.0k citations

Hit Papers

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Genetic effects on gene expression across human tissues 2017 · 2.3k citations

Peers

Countries citing papers authored by Barbara E. Engelhardt

Since Specialization

Citations

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

Fields of papers citing papers by Barbara E. Engelhardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara E. Engelhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara E. Engelhardt Line = papers co-authored together Barbara E. Engelhardt links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Genetic effects on gene expression across human tissues Nature ·(unknown), (unknown), Barbara E. Engelhardt, Stephen B. Montgomery, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), 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(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown) Hit paper breakdown →	2017	2255
2	Understanding mechanisms underlying human gene expression variation with RNA sequencing Nature ·Joseph K. Pickrell, John C. Marioni, Athma A. Pai, Jacob F. Degner, Barbara E. Engelhardt, Everlyne N. Nkadori, Jean‐Baptiste Veyrieras, Matthew Stephens, Yoav Gilad, Jonathan K. Pritchard Hit paper breakdown →	2010	908
3	Computational approaches to fMRI analysis Nature Neuroscience ·Jonathan D. Cohen, Nathaniel D. Daw, Barbara E. Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A. Norman, Jonathan W. Pillow, Peter J. Ramadge, Nicholas B. Turk‐Browne, Theodore L. Willke	2017	149
4	Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements Genome Biology ·Weiwei Zhang, Tim D. Spector, Panos Deloukas, Jordana T. Bell, Barbara E. Engelhardt	2015	134
5	Protein Molecular Function Prediction by Bayesian Phylogenomics PLoS Computational Biology ·Barbara E. Engelhardt, Michael I. Jordan, Kathryn E. Muratore, Steven E. Brenner	2005	125
6	Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs PLoS Genetics ·Andrew Brown, Lara M. Mangravite, Barbara E. Engelhardt	2013	107
7	Analysis of Population Structure: A Unifying Framework and Novel Methods Based on Sparse Factor Analysis PLoS Genetics ·Barbara E. Engelhardt, Matthew Stephens	2010	107
8	Clustering gene expression time series data using an infinite Gaussian process mixture model PLoS Computational Biology ·Ian C. McDowell, Dinesh Manandhar, Christopher M. Vockley, Amy Schmid, Timothy E. Reddy, Barbara E. Engelhardt	2018	104
9	Co-expression networks reveal the tissue-specific regulation of transcription and splicing Genome Research ·Ashis Saha, Yungil Kim, Ariel DH Gewirtz, Brian Jo, Chuan Gao, Ian C. McDowell, Barbara E. Engelhardt, Alexis Battle	2017	102
10	Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding Genome Research ·Ian C. McDowell, Alejandro Barrera, Anthony D’Ippolito, Christopher M. Vockley, Linda K. Hong, Sarah M. Leichter, Luke C. Bartelt, William H. Majoros, Lingyun Song, Alexias Safi, D. Dewran Koçak, Charles A. Gersbach, Alexander J. Hartemink, Gregory E. Crawford, Barbara E. Engelhardt, Timothy E. Reddy	2018	79
11	netNMF-sc: leveraging gene–gene interactions for imputation and dimensionality reduction in single-cell expression analysis Genome Research ·Rebecca Elyanow, Bianca Dumitrascu, Barbara E. Engelhardt, Benjamin J. Raphael	2020	62
12	Casper: space exploration through continuous planning IEEE Intelligent Systems ·Sara J. Knight, G. Rabideau, Steve Chien, Barbara E. Engelhardt, Rob Sherwood	2001	59
13	Genome-Wide Association Study of d-Amphetamine Response in Healthy Volunteers Identifies Putative Associations, Including Cadherin 13 (CDH13) PLoS ONE ·Amy Hart, Barbara E. Engelhardt, Margaret C. Wardle, Greta Sokoloff, Matthew Stephens, Harriet de Wit, Abraham A. Palmer	2012	58
14	Factored planning International Joint Conference on Artificial Intelligence ·Eyal Amir, Barbara E. Engelhardt	2003	55
15	Detecting differential growth of microbial populations with Gaussian process regression Genome Research ·Peter D. Tonner, Cynthia L. Darnell, Barbara E. Engelhardt, Amy Schmid	2016	48
16	Nonnegative spatial factorization applied to spatial genomics Nature Methods ·F. William Townes, Barbara E. Engelhardt	2022	48
17	Genome-scale phylogenetic function annotation of large and diverse protein families Genome Research ·Barbara E. Engelhardt, Michael I. Jordan, John R. Srouji, Steven E. Brenner	2011	47
18	Joint analysis of expression levels and histological images identifies genes associated with tissue morphology Nature Communications ·Jordan T. Ash, Gregory Darnell, Daniel Munro, Barbara E. Engelhardt	2021	44
19	Optimal marker gene selection for cell type discrimination in single cell analyses Nature Communications ·Bianca Dumitrascu, Soledad Villar, Dustin G. Mixon, Barbara E. Engelhardt	2021	43
20	Stability selection for regression-based models of transcription factor–DNA binding specificity Bioinformatics ·Fantine Mordelet, J.R. Horton, Alexander J. Hartemink, Barbara E. Engelhardt, Raluca Gordân	2013	42

About Barbara E. Engelhardt

Barbara E. Engelhardt is a scholar working on Artificial Intelligence, Computer Networks and Communications, Biophysics, Molecular Biology and Statistics and Probability, having authored 79 papers that have together received 5.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), AI-based Problem Solving and Planning (15 papers), Single-cell and spatial transcriptomics (12 papers), Constraint Satisfaction and Optimization (7 papers), Distributed systems and fault tolerance (7 papers), Genetic and phenotypic traits in livestock (5 papers), RNA Research and Splicing (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Genetics (1.8k citations), Molecular Biology (3.1k citations), Cancer Research (622 citations), Aging (32 citations) and Biophysics (96 citations). Barbara E. Engelhardt has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Matthew Stephens, Athma A. Pai, John C. Marioni, Jacob F. Degner, Jean‐Baptiste Veyrieras, Joseph K. Pickrell, Yoav Gilad, Jonathan K. Pritchard, Steven E. Brenner and Michael I. Jordan. Their work appears in journals such as Genome Research, Nature Communications, PLoS Computational Biology, The Annals of Applied Statistics and BMC Bioinformatics.

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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