Drew T. Bergman

2.4k total citations · 1 hit paper
8 papers, 692 citations indexed

About

Drew T. Bergman is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Drew T. Bergman has authored 8 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Surgery. Recurrent topics in Drew T. Bergman's work include RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers) and CRISPR and Genetic Engineering (2 papers). Drew T. Bergman is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers) and CRISPR and Genetic Engineering (2 papers). Drew T. Bergman collaborates with scholars based in United States, Australia and Germany. Drew T. Bergman's co-authors include Eric S. Lander, Charles P. Fulco, J Engreitz, Joseph Nasser, Michael Kane, Sharon R. Grossman, Thouis R. Jones, Tung H. Nguyen, Caleb A. Lareau and Vidya Subramanian and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Drew T. Bergman

8 papers receiving 689 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.

Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations

2019 522 citations Charles P. Fulco, Joseph Nasser et al. Nature Genetics profile →

Peers

Drew T. Bergman

MB

GENET

PS

CR

IMMUN

Joseph Nasser United States

Benjamin R. Doughty United States

Diego Calderon United States

Sharmistha Kundu United States

Ino D. Karemaker Netherlands

Alla D. Fedorova Russia

Emily K. Tsang United States

Romain Groux Switzerland

Avanti Shrikumar United States

Matias Piipari United Kingdom

Joseph Nasser United States

Drew T. Bergman

679 ×1.1

MB

245 ×1.4

GENET

63 ×1.0

PS

76 ×1.3

CR

59 ×1.1

IMMUN

Citations per year, relative to Drew T. Bergman Drew T. Bergman (= 1×) peers Joseph Nasser

Countries citing papers authored by Drew T. Bergman

Since Specialization

Citations

This map shows the geographic impact of Drew T. Bergman'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 Drew T. Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew T. Bergman more than expected).

Fields of papers citing papers by Drew T. Bergman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Drew T. Bergman. 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 Drew T. Bergman. The network helps show where Drew T. Bergman may publish in the future.

Co-authorship network of co-authors of Drew T. Bergman

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

All Works

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8 of 8 papers shown

1.

Hughes, Edward G., et al.. (2025). Clinical Implementation of Expanded Solid Tumor Fusion Detection With Whole-Transcriptome Sequencing at an Academic Cancer Center. JCO Precision Oncology. 9(9). e2400830–e2400830. 1 indexed citations

2.

Bergman, Drew T., et al.. (2023). Genomic profile of Pancoast syndrome due to hepatocellular carcinoma: A case report. Thoracic Cancer. 14(18). 1789–1792. 3 indexed citations

3.

Bergman, Drew T., et al.. (2023). BIOM-10. KI-67 IS ASSOCIATED WITH PROGRESSION-FREE SURVIVAL IN PATIENTS WITH GLIOBLASTOMA. Neuro-Oncology. 25(Supplement_5). v5–v6. 1 indexed citations

4.

Bergman, Drew T., Thouis R. Jones, Vincent Liu, et al.. (2022). Compatibility rules of human enhancer and promoter sequences. Nature. 607(7917). 176–184. 81 indexed citations

5.

Bergman, Drew T., Lucas A. Salas, Duncan Lambie, et al.. (2021). Genome-Scale DNA Methylation Analysis Identifies Repeat Element Alterations that Modulate the Genomic Stability of Melanocytic Nevi. Journal of Investigative Dermatology. 142(7). 1893–1902.e7. 10 indexed citations

6.

Marshall, Jamie L., Benjamin R. Doughty, Vidya Subramanian, et al.. (2020). HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes. Proceedings of the National Academy of Sciences. 117(52). 33404–33413. 24 indexed citations

7.

Ray, John, Carl G. de Boer, Charles P. Fulco, et al.. (2020). Prioritizing disease and trait causal variants at the TNFAIP3 locus using functional and genomic features. Nature Communications. 11(1). 1237–1237. 50 indexed citations

8.

Fulco, Charles P., Joseph Nasser, Thouis R. Jones, et al.. (2019). Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations. Nature Genetics. 51(12). 1664–1669. 522 indexed citations breakdown →

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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