Jeff Vierstra

15.8k total citations · 2 hit papers
20 papers, 2.2k citations indexed

About

Jeff Vierstra is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Jeff Vierstra has authored 20 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Genetics. Recurrent topics in Jeff Vierstra's work include Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (5 papers). Jeff Vierstra is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (5 papers). Jeff Vierstra collaborates with scholars based in United States, Greece and United Kingdom. Jeff Vierstra's co-authors include J Stamatoyannopoulos, Richard Sandstrom, Alex Reynolds, Eric Haugen, Matthew T. Maurano, Robert E. Thurman, Audra Johnson, Eric Rynes, Shane Neph and Michael S. Kuehn and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jeff Vierstra

18 papers receiving 2.2k 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.

BEDOPS: high-performance genomic feature operations

2012 635 citations Shane Neph, Michael S. Kuehn et al. Bioinformatics profile →
An Erythroid Enhancer of BCL11A Subject to Genetic Variation Determines Fetal Hemoglobin Level

2013 450 citations Daniel E. Bauer, Sophia C. Kamran et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Vierstra United States	13	1.8k	520	244	244	244	20	2.2k
Henriette O’Geen United States	28	2.4k 1.3×	527 1.0×	202 0.8×	91 0.4×	275 1.1×	43	2.7k
Robert‐Jan Palstra Netherlands	24	3.4k 1.9×	630 1.2×	216 0.9×	358 1.5×	645 2.6×	33	4.0k
Cameron S. Osborne United Kingdom	23	3.1k 1.7×	625 1.2×	318 1.3×	193 0.8×	593 2.4×	40	3.6k
Dione K. Bailey United States	9	2.3k 1.3×	733 1.4×	727 3.0×	87 0.4×	284 1.2×	10	2.8k
Neil P. Blackledge United Kingdom	25	3.4k 1.9×	615 1.2×	245 1.0×	53 0.2×	357 1.5×	34	3.7k
Cordelia Langford United Kingdom	20	1.7k 0.9×	591 1.1×	420 1.7×	78 0.3×	196 0.8×	26	2.5k
Pär G. Engström Sweden	18	1.9k 1.1×	412 0.8×	552 2.3×	82 0.3×	303 1.2×	25	2.4k
Ian J. Donaldson United Kingdom	26	1.6k 0.9×	355 0.7×	181 0.7×	83 0.3×	155 0.6×	51	2.1k
Panayiotis A. Ioannou Australia	22	774 0.4×	489 0.9×	55 0.2×	305 1.3×	224 0.9×	44	1.4k
Ulrich Braunschweig Canada	21	4.0k 2.2×	492 0.9×	401 1.6×	121 0.5×	762 3.1×	28	4.3k

Countries citing papers authored by Jeff Vierstra

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Vierstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Vierstra. 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 Jeff Vierstra. The network helps show where Jeff Vierstra may publish in the future.

Co-authorship network of co-authors of Jeff Vierstra

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Vierstra. A scholar is included among the top collaborators of Jeff Vierstra 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 Jeff Vierstra. Jeff Vierstra 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

Boytsov, Alexandr, Eugene F. Baulin, Semyon Kolmykov, et al.. (2025). Statistical framework for calling allelic imbalance in high-throughput sequencing data. Nature Communications. 16(1). 1739–1739. 1 indexed citations

Psatha, Nikoletta, Pavel Sova, Grigorios Georgolopoulos, et al.. (2025). Large-scale discovery of potent, compact and erythroid specific enhancers for gene therapy vectors. Nature Communications. 16(1). 4325–4325.

Psatha, Nikoletta, Pavel Sova, Grigorios Georgolopoulos, et al.. (2022). P1437: NOVEL ERYTHROID ENHANCERS IMPROVE GENE THERAPY VECTORS FOR BETA-HEMOGLOBINOPATHIES. HemaSphere. 6. 1320–1321. 1 indexed citations

Georgolopoulos, Grigorios, Nikoletta Psatha, Mineo Iwata, et al.. (2021). Discrete regulatory modules instruct hematopoietic lineage commitment and differentiation. Nature Communications. 12(1). 6790–6790. 10 indexed citations

Vierstra, Jeff, John Lazar, Richard Sandstrom, et al.. (2020). Global reference mapping of human transcription factor footprints. Nature. 583(7818). 729–736. 186 indexed citations

Meuleman, Wouter, Eric Rynes, Jessica Halow, et al.. (2020). Index and biological spectrum of human DNase I hypersensitive sites. Nature. 584(7820). 244–251. 155 indexed citations

Breeze, Charles E., Alex Reynolds, Jenny van Dongen, et al.. (2019). eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data. Bioinformatics. 35(22). 4767–4769. 60 indexed citations

Georgolopoulos, Grigorios, Mineo Iwata, Nikoletta Psatha, Minas Yiangou, & Jeff Vierstra. (2019). Unbiased phenotypic identification of functionally distinct hematopoietic progenitors. SHILAP Revista de lepidopterología. 26(1). 4–4. 3 indexed citations

Vierstra, Jeff & J Stamatoyannopoulos. (2016). Genomic footprinting. Nature Methods. 13(3). 213–221. 65 indexed citations

10.

Maurano, Matthew T., Eric Haugen, Richard Sandstrom, et al.. (2015). Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo. Nature Genetics. 47(12). 1393–1401. 139 indexed citations

11.

Mayer, Andreas, Julia di Iulio, Seth Maleri, et al.. (2015). Native Elongating Transcript Sequencing Reveals Human Transcriptional Activity at Nucleotide Resolution. Cell. 161(3). 541–554. 256 indexed citations

12.

Wilken, Matthew S., Joseph A. Brzezinski, Anna La Torre, et al.. (2015). DNase I hypersensitivity analysis of the mouse brain and retina identifies region-specific regulatory elements. Epigenetics & Chromatin. 8(1). 8–8. 46 indexed citations

13.

Urnov, Fyodor D., Andreas Reik, Jeff Vierstra, et al.. (2015). Clinical-Scale Genome Editing of the Human BCL11A Erythroid Enhancer for Treatment of the Hemoglobinopathies. Blood. 126(23). 204–204. 9 indexed citations

14.

He, Ximiao, Desiree Tillo, Jeff Vierstra, et al.. (2015). Methylated Cytosines Mutate to Transcription Factor Binding Sites that Drive Tetrapod Evolution. Genome Biology and Evolution. 7(11). 3155–3169. 18 indexed citations

15.

Vierstra, Jeff, Hao Wang, Sam John, Richard Sandstrom, & J Stamatoyannopoulos. (2013). Coupling transcription factor occupancy to nucleosome architecture with DNase-FLASH. Nature Methods. 11(1). 66–72. 48 indexed citations

16.

Bauer, Daniel E., Sophia C. Kamran, Samuel Lessard, et al.. (2013). Fine-Mapping and Genome Editing Reveal An Essential Erythroid Enhancer At The HbF-Associated BCL11A Locus. Blood. 122(21). 437–437.

17.

John, Sam, Peter J. Sabo, Theresa K. Canfield, et al.. (2013). Genome‐Scale Mapping of DNase I Hypersensitivity. Current Protocols in Molecular Biology. 103(1). Unit 21.27–Unit 21.27. 65 indexed citations

18.

Bauer, Daniel E., Sophia C. Kamran, Samuel Lessard, et al.. (2013). An Erythroid Enhancer of BCL11A Subject to Genetic Variation Determines Fetal Hemoglobin Level. Science. 342(6155). 253–257. 450 indexed citations breakdown →

19.

Vernot, Benjamin, Andrew B. Stergachis, Matthew T. Maurano, et al.. (2012). Personal and population genomics of human regulatory variation. Genome Research. 22(9). 1689–1697. 79 indexed citations

20.

Neph, Shane, Michael S. Kuehn, Alex Reynolds, et al.. (2012). BEDOPS: high-performance genomic feature operations. Bioinformatics. 28(14). 1919–1920. 635 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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