Barbara E. Engelhardt

22.8k total citations · 2 hit papers
79 papers, 5.1k citations indexed

About

Barbara E. Engelhardt is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Barbara E. Engelhardt has authored 79 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 32 papers in Artificial Intelligence and 17 papers in Computer Networks and Communications. Recurrent topics in Barbara E. Engelhardt's work include Gene expression and cancer classification (17 papers), AI-based Problem Solving and Planning (15 papers) and Single-cell and spatial transcriptomics (12 papers). Barbara E. Engelhardt is often cited by papers focused on Gene expression and cancer classification (17 papers), AI-based Problem Solving and Planning (15 papers) and Single-cell and spatial transcriptomics (12 papers). Barbara E. Engelhardt collaborates with scholars based in United States, United Kingdom and Israel. Barbara E. Engelhardt's co-authors include Matthew Stephens, Athma A. Pai, Joseph K. Pickrell, Jonathan K. Pritchard, John C. Marioni, Yoav Gilad, Jean‐Baptiste Veyrieras, Jacob F. Degner, Michael I. Jordan and Steven E. Brenner and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Barbara E. Engelhardt

70 papers receiving 5.0k 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.

Genetic effects on gene expression across human tissues

2017 2.3k citations Barbara E. Engelhardt et al. profile →
Understanding mechanisms underlying human gene expression variation with RNA sequencing

2010 908 citations Barbara E. Engelhardt et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara E. Engelhardt United States	26	3.1k	1.8k	622	424	273	79	5.1k
Shinichi Morishita Japan	38	3.0k 0.9×	731 0.4×	307 0.5×	464 1.1×	282 1.0×	185	5.0k
Casey S. Greene United States	38	2.8k 0.9×	787 0.4×	457 0.7×	699 1.6×	335 1.2×	144	4.9k
Luciano Milanesi Italy	36	3.0k 1.0×	511 0.3×	449 0.7×	178 0.4×	257 0.9×	243	4.9k
Helen Parkinson United Kingdom	32	6.1k 1.9×	2.8k 1.6×	942 1.5×	733 1.7×	446 1.6×	113	9.1k
Guido Sanguinetti United Kingdom	37	2.6k 0.8×	560 0.3×	355 0.6×	488 1.2×	117 0.4×	135	4.2k
Pingzhao Hu Canada	38	2.2k 0.7×	687 0.4×	668 1.1×	407 1.0×	296 1.1×	167	4.3k
Diego di Bernardo Italy	41	5.3k 1.7×	610 0.3×	487 0.8×	213 0.5×	294 1.1×	143	7.2k
Hans A. Kestler Germany	45	3.4k 1.1×	534 0.3×	798 1.3×	525 1.2×	634 2.3×	264	7.2k
Konrad J. Karczewski United States	30	3.6k 1.1×	2.8k 1.6×	895 1.4×	101 0.2×	482 1.8×	69	6.5k

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-authorship network of co-authors of Barbara E. Engelhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara E. Engelhardt. A scholar is included among the top collaborators of Barbara E. Engelhardt 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 Barbara E. Engelhardt. Barbara E. Engelhardt 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

Golan, Yarden, Sarah K. Nyquist, Zhe Liu, et al.. (2025). Genomic characterization of normal and aberrant human milk production. Science Advances. 11(37). eadr7174–eadr7174.

Jones, Andrew, et al.. (2024). Probabilistic contrastive dimension reduction for case-control study data. The Annals of Applied Statistics. 18(3). 2207–2229. 2 indexed citations

Jones, Andrew, et al.. (2023). Alignment of spatial genomics data using deep Gaussian processes. Nature Methods. 20(9). 1379–1387. 37 indexed citations

Chivers, Corey, et al.. (2022). Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach. Journal of Personalized Medicine. 12(5). 661–661. 6 indexed citations

Gewirtz, Ariel DH, F. William Townes, & Barbara E. Engelhardt. (2022). Telescoping bimodal latent Dirichlet allocation to identify expression QTLs across tissues. Life Science Alliance. 5(12). e202101297–e202101297. 2 indexed citations

Aoki, Kazuhiro, et al.. (2021). A self-exciting point process to study multicellular spatial signaling patterns. Proceedings of the National Academy of Sciences. 118(32). 8 indexed citations

Ash, Jordan T., et al.. (2021). Joint analysis of expression levels and histological images identifies genes associated with tissue morphology. Nature Communications. 12(1). 1609–1609. 44 indexed citations

Dumitrascu, Bianca, Ian C. McDowell, Brian Jo, et al.. (2021). Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Computational Biology. 17(1). e1008223–e1008223. 22 indexed citations

Dumitrascu, Bianca, et al.. (2020). Nonparametric bayesian multiarmed bandits for single-cell experiment design. BOA (University of Milano-Bicocca). 5 indexed citations

10.

Elyanow, Rebecca, Bianca Dumitrascu, Barbara E. Engelhardt, & Benjamin J. Raphael. (2020). netNMF-sc: leveraging gene–gene interactions for imputation and dimensionality reduction in single-cell expression analysis. Genome Research. 30(2). 195–204. 62 indexed citations

11.

Gundersen, Gregory W., Bianca Dumitrascu, Jordan T. Ash, & Barbara E. Engelhardt. (2019). End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations.. Uncertainty in Artificial Intelligence. 945–955. 5 indexed citations

12.

Elyanow, Rebecca, Bianca Dumitrascu, Barbara E. Engelhardt, & Benjamin J. Raphael. (2019). netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data.. 297–298. 1 indexed citations

13.

Engelhardt, Barbara E., et al.. (2019). Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis. 271–287. 4 indexed citations

14.

Engelhardt, Barbara E., et al.. (2018). An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. PubMed. 24. 320–331. 16 indexed citations

15.

Saha, Ashis, Yungil Kim, Ariel DH Gewirtz, et al.. (2017). Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Research. 27(11). 1843–1858. 102 indexed citations

16.

Mordelet, Fantine, J.R. Horton, Alexander J. Hartemink, Barbara E. Engelhardt, & Raluca Gordân. (2013). Stability selection for regression-based models of transcription factor–DNA binding specificity. Bioinformatics. 29(13). i117–i125. 42 indexed citations

17.

Brown, Andrew, Lara M. Mangravite, & Barbara E. Engelhardt. (2013). Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs. PLoS Genetics. 9(8). e1003649–e1003649. 107 indexed citations

18.

Amir, Eyal & Barbara E. Engelhardt. (2003). Factored planning. International Joint Conference on Artificial Intelligence. 929–935. 55 indexed citations

19.

Engelhardt, Barbara E., et al.. (2001). The RADARSAT-MAMM Automated Mission Planner. AI Magazine. 23(2). 25–36. 2 indexed citations

20.

Rabideau, Gregg, Barbara E. Engelhardt, & Steve Chien. (2000). Using generic preferences to incrementally improve plan quality. 236–245. 23 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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