Eric S. Davis

1.8k total citations · 1 hit paper
26 papers, 905 citations indexed

About

Eric S. Davis is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eric S. Davis has authored 26 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eric S. Davis's work include Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). Eric S. Davis is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). Eric S. Davis collaborates with scholars based in United States, India and Australia. Eric S. Davis's co-authors include Robert Tarran, Douglas H. Phanstiel, Maria F. Sassano, Ivana Yoseli Quiroga, Gary L. Glish, James E. Keating, Matthew C. Wolfgang, Bryan Zorn, Samuel G. Mackintosh and Daniel P. Keeley and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Eric S. Davis

25 papers receiving 895 citations

Hit Papers

Phase separation drives aberrant chromatin looping and ca... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Davis United States 13 501 251 108 105 82 26 905
Wenying Lu Australia 15 316 0.6× 138 0.5× 245 2.3× 30 0.3× 83 1.0× 54 747
Toru Nyunoya United States 18 513 1.0× 201 0.8× 332 3.1× 53 0.5× 146 1.8× 43 1.1k
Huiwen Liu China 18 463 0.9× 68 0.3× 72 0.7× 30 0.3× 162 2.0× 59 961
Junko Yamamoto Japan 14 336 0.7× 53 0.2× 101 0.9× 55 0.5× 39 0.5× 69 815
Veronica Lam Hong Kong 14 286 0.6× 119 0.5× 209 1.9× 47 0.4× 33 0.4× 25 815
Samuel Chung United States 10 323 0.6× 136 0.5× 167 1.5× 50 0.5× 46 0.6× 16 646
Jingbo Dai China 16 375 0.7× 40 0.2× 123 1.1× 54 0.5× 121 1.5× 34 777
Sara Piacentini Italy 19 461 0.9× 86 0.3× 30 0.3× 41 0.4× 35 0.4× 35 730
Claire Mackowiak France 9 248 0.5× 92 0.4× 92 0.9× 81 0.8× 45 0.5× 12 701
Jane M. DeVasure United States 19 162 0.3× 159 0.6× 265 2.5× 110 1.0× 18 0.2× 36 811

Countries citing papers authored by Eric S. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Davis. 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 Eric S. Davis. The network helps show where Eric S. Davis may publish in the future.

Co-authorship network of co-authors of Eric S. Davis

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

All Works

20 of 20 papers shown
2.
Lewis, Michael W., Alisha R. Coffey, Raúl Méndez-Giráldez, et al.. (2024). CRISPR Screening of Transcribed Super-Enhancers Identifies Drivers of Triple-Negative Breast Cancer Progression. Cancer Research. 84(21). 3684–3700. 6 indexed citations
3.
Schertzer, Megan D., Arina D. Omer, Eric S. Davis, et al.. (2023). Proximity-dependent recruitment of Polycomb repressive complexes by the lncRNA Airn. Cell Reports. 42(7). 112803–112803. 9 indexed citations
4.
Davis, Eric S., Ivana Yoseli Quiroga, Manjari Kiran, et al.. (2023). Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features. Genome Research. 33(8). 1258–1268. 2 indexed citations
5.
Davis, Eric S., et al.. (2023). bootRanges: flexible generation of null sets of genomic ranges for hypothesis testing. Bioinformatics. 39(5). 6 indexed citations
6.
Davis, Eric S., et al.. (2023). matchRanges: generating null hypothesis genomic ranges via covariate-matched sampling. Bioinformatics. 39(5). 9 indexed citations
7.
Kramer, Nicole E., Eric S. Davis, Craig D. Wenger, et al.. (2022). Plotgardener: cultivating precise multi-panel figures in R. Bioinformatics. 38(7). 2042–2045. 45 indexed citations
8.
Dozmorov, Mikhail G., Eric S. Davis, Stuart Lee, et al.. (2022). CTCF: an R/bioconductor data package of human and mouse CTCF binding sites. Bioinformatics Advances. 2(1). vbac097–vbac097. 9 indexed citations
9.
Lewis, Michael W., et al.. (2022). A multi-omic dissection of super-enhancer driven oncogenic gene expression programs in ovarian cancer. Nature Communications. 13(1). 4247–4247. 24 indexed citations
10.
Davis, Eric S., Susan D’Costa, Philip Coryell, et al.. (2022). 3D chromatin structure in chondrocytes identifies putative osteoarthritis risk genes. Genetics. 222(4). 8 indexed citations
11.
Davis, Eric S., Ivana Yoseli Quiroga, Isaac B. Hilton, et al.. (2022). Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription. Cell Reports. 41(5). 111567–111567. 21 indexed citations
12.
Ahn, Jeong Hyun, Eric S. Davis, Timothy A. Daugird, et al.. (2021). Phase separation drives aberrant chromatin looping and cancer development. Nature. 595(7868). 591–595. 294 indexed citations breakdown →
13.
Trembath, Dimitri G., Eric S. Davis, Bentley R. Midkiff, et al.. (2021). Brain Tumor Microenvironment and Angiogenesis in Melanoma Brain Metastases. Frontiers in Oncology. 10. 604213–604213. 19 indexed citations
14.
Woodall, Maximillian, Kameljit Kalsi, Eric S. Davis, et al.. (2020). E-cigarette constituents propylene glycol and vegetable glycerin decrease glucose uptake and its metabolism in airway epithelial cells in vitro. American Journal of Physiology-Lung Cellular and Molecular Physiology. 319(6). L957–L967. 49 indexed citations
15.
Wenger, Craig D., et al.. (2019). Bedtoolsr: An R package for genomic data analysis and manipulation. The Journal of Open Source Software. 4(44). 1742–1742. 25 indexed citations
16.
Deoudes, Erika, et al.. (2019). CoralP: Flexible visualization of the human phosphatome. The Journal of Open Source Software. 4(44). 1837–1837. 2 indexed citations
17.
Ghosh, Arunava, Teresa Mascenik, Temperance R. Rowell, et al.. (2018). Chronic E-Cigarette Exposure Alters the Human Bronchial Epithelial Proteome. American Journal of Respiratory and Critical Care Medicine. 198(1). 67–76. 152 indexed citations
18.
Sassano, Maria F., Eric S. Davis, James E. Keating, et al.. (2018). Evaluation of e-liquid toxicity using an open-source high-throughput screening assay. PLoS Biology. 16(3). e2003904–e2003904. 126 indexed citations
19.
Davis, Eric S., Maria F. Sassano, Henry Goodell, & Robert Tarran. (2017). E-Liquid Autofluorescence can be used as a Marker of Vaping Deposition and Third-Hand Vape Exposure. Scientific Reports. 7(1). 7459–7459. 19 indexed citations
20.
Matson, Brooke C., Stephanie Pierce, Scott T. Espenschied, et al.. (2017). Adrenomedullin improves fertility and promotes pinopodes and cell junctions in the peri-implantation endometrium†. Biology of Reproduction. 97(3). 466–477. 26 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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