Barbara E. Engelhardt
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
Papers in
-
- AI-based Problem Solving and Planning 21
- Gaussian Processes and Bayesian Inference 5
- Machine Learning in Healthcare 5
- Genetics 24
- Genetic Associations and Epidemiology 21
- Co-authors
- Matthew Stephens (4 shared papers)Athma A. Pai (2 shared papers)Jacob F. Degner (1 shared paper)Everlyne N. Nkadori (1 shared paper)Joseph K. Pickrell (1 shared paper)Yoav Gilad (1 shared paper)Jonathan K. Pritchard (1 shared paper)Jean‐Baptiste Veyrieras (1 shared paper)
- Journals
- Nature Communications (6 papers)Science (5 papers)Nature (4 papers)The Annals of Applied Statistics (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Barbara E. Engelhardt
90 papers receiving 12.2k citations
Barbara E. Engelhardt's Hit Papers
Peers
Comparison fields: 5 of 188
- Genetics 4.6k
- Molecular Biology 4.1k
- Aging 104
- Cancer Research 518
- Physiology 709
Countries citing papers authored by Barbara E. Engelhardt
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
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.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The GTEx Consortium atlas of genetic regulatory effects across human tissues Hit paper breakdown → | 2020 | 3187 |
| 2 | Genetic effects on gene expression across human tissues Hit paper breakdown → | 2017 | 2894 |
| 3 | Understanding mechanisms underlying human gene expression variation with RNA sequencing Hit paper breakdown → | 2010 | 976 |
| 4 | The impact of sex on gene expression across human tissues Hit paper breakdown → | 2020 | 493 |
| 5 | Cell type–specific genetic regulation of gene expression across human tissues Hit paper breakdown → | 2020 | 420 |
| 6 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 385 |
| 7 | Determinants of telomere length across human tissues Hit paper breakdown → | 2020 | 376 |
| 8 | A Quantitative Proteome Map of the Human Body Hit paper breakdown → | 2020 | 346 |
| 9 | 2015 | 258 | |
| 10 | How algorithmic confounding in recommendation systems increases homogeneity and decreases utility Hit paper breakdown → | 2018 | 222 |
| 11 | Measuring the predictability of life outcomes with a scientific mass collaboration Hit paper breakdown → | 2020 | 204 |
| 12 | 2013 | 170 | |
| 13 | 2017 | 165 | |
| 14 | 2015 | 155 | |
| 15 | 2015 | 150 | |
| 16 | 2021 | 137 | |
| 17 | 2005 | 136 | |
| 18 | 2018 | 129 | |
| 19 | 2013 | 125 | |
| 20 | 2018 | 122 |
About Barbara E. Engelhardt
Barbara E. Engelhardt is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Aerospace Engineering and Statistics and Probability, having authored 101 papers that have together received 12.5k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (21 papers), Genetic Associations and Epidemiology (21 papers), Single-cell and spatial transcriptomics (14 papers), Spacecraft Design and Technology (7 papers), Gene expression and cancer classification (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Machine Learning in Healthcare (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Genetics (4.6k citations), Molecular Biology (4.1k citations), Aging (104 citations), Cancer Research (518 citations) and Physiology (709 citations). Barbara E. Engelhardt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Matthew Stephens, Athma A. Pai, Jacob F. Degner, Everlyne N. Nkadori, Joseph K. Pickrell, Yoav Gilad, Jonathan K. Pritchard, Jean‐Baptiste Veyrieras, John C. Marioni and Allison J. B. Chaney. Their work appears in journals such as Nature Communications, Science, Nature, The Annals of Applied Statistics and Proceedings of the National Academy of Sciences.
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.