Frank J. Steemers

20.7k total citations · 8 hit papers
54 papers, 11.3k citations indexed

About

Frank J. Steemers is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Frank J. Steemers has authored 54 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Materials Chemistry. Recurrent topics in Frank J. Steemers's work include Single-cell and spatial transcriptomics (22 papers), Genomics and Chromatin Dynamics (10 papers) and Gene expression and cancer classification (9 papers). Frank J. Steemers is often cited by papers focused on Single-cell and spatial transcriptomics (22 papers), Genomics and Chromatin Dynamics (10 papers) and Gene expression and cancer classification (9 papers). Frank J. Steemers collaborates with scholars based in United States, Netherlands and Iran. Frank J. Steemers's co-authors include Jay Shendure, Cole Trapnell, Kevin L. Gunderson, Lena Christiansen, Junyue Cao, Riza M. Daza, Andrew C. Adey, Xiaojie Qiu, Darren A. Cusanovich and Andrew J. Hill and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Frank J. Steemers

53 papers receiving 11.2k citations

Hit Papers

align trajectories sort by overperformance

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.

The single-cell transcriptional landscape of mammalian organogenesis

2019 2.2k citations Junyue Cao, Malte Spielmann et al. Nature profile →
Comprehensive single-cell transcriptional profiling of a multicellular organism

2017 896 citations Junyue Cao, Jonathan S. Packer et al. Science profile →
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing

2015 829 citations Darren A. Cusanovich, Riza M. Daza et al. Science profile →
New Sensitizer-Modified Calix[4]arenes Enabling Near-UV Excitation of Complexed Luminescent Lanthanide Ions

1995 754 citations Frank J. Steemers et al. Journal of the American Chemical Society profile →
Joint profiling of chromatin accessibility and gene expression in thousands of single cells

2018 585 citations Junyue Cao, Darren A. Cusanovich et al. Science profile →
A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

2018 474 citations Darren A. Cusanovich, Andrew J. Hill et al. profile →
Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data

2018 413 citations Hannah A. Pliner, Jonathan S. Packer et al. Molecular Cell profile →
A human cell atlas of fetal gene expression

2020 383 citations Junyue Cao, Diana R. O’Day 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
Frank J. Steemers United States	35	8.2k	1.7k	1.6k	1.3k	926	54	11.3k
M. Cristina Cardoso Germany	55	9.9k 1.2×	496 0.3×	1.7k 1.1×	1.0k 0.8×	248 0.3×	186	12.1k
David W. Piston United States	63	7.9k 1.0×	636 0.4×	2.2k 1.4×	366 0.3×	766 0.8×	223	14.7k
John F. McDonald United States	53	4.9k 0.6×	1.0k 0.6×	843 0.5×	484 0.4×	424 0.5×	190	9.2k
Akira Yasui Japan	63	8.7k 1.1×	1.6k 1.0×	880 0.6×	489 0.4×	568 0.6×	265	12.7k
John Laterra United States	60	5.2k 0.6×	1.8k 1.1×	581 0.4×	690 0.5×	1.8k 1.9×	214	11.3k
Diane L. Barber United States	44	5.6k 0.7×	1.1k 0.7×	327 0.2×	1.2k 0.9×	637 0.7×	93	9.2k
Ben N. G. Giepmans Netherlands	45	6.2k 0.8×	434 0.3×	864 0.5×	434 0.3×	899 1.0×	105	9.8k
David P. Bazett‐Jones Canada	51	10.2k 1.2×	613 0.4×	1.1k 0.7×	496 0.4×	431 0.5×	122	11.8k
Michelle A. Digman United States	54	5.0k 0.6×	808 0.5×	363 0.2×	375 0.3×	266 0.3×	163	8.3k

Countries citing papers authored by Frank J. Steemers

Since Specialization

Citations

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

Fields of papers citing papers by Frank J. Steemers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank J. Steemers. 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 Frank J. Steemers. The network helps show where Frank J. Steemers may publish in the future.

Co-authorship network of co-authors of Frank J. Steemers

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

O’Connell, Brendan L., Ruth V. Nichols, Dmitry Pokholok, et al.. (2023). Atlas-scale single-cell chromatin accessibility using nanowell-based combinatorial indexing. Genome Research. 33(2). 208–217. 6 indexed citations

Nichols, Ruth V., Brendan L. O’Connell, Ryan M. Mulqueen, et al.. (2022). High-throughput robust single-cell DNA methylation profiling with sciMETv2. Nature Communications. 13(1). 7627–7627. 24 indexed citations

Mulqueen, Ryan M., Dmitry Pokholok, Brendan L. O’Connell, et al.. (2021). High-content single-cell combinatorial indexing. Nature Biotechnology. 39(12). 1574–1580. 54 indexed citations

Cao, Junyue, Diana R. O’Day, Hannah A. Pliner, et al.. (2020). A human cell atlas of fetal gene expression. Science. 370(6518). 383 indexed citations breakdown →

Cao, Junyue, Wei Zhou, Frank J. Steemers, Cole Trapnell, & Jay Shendure. (2020). Sci-fate characterizes the dynamics of gene expression in single cells. Nature Biotechnology. 38(8). 980–988. 105 indexed citations

Domcke, Silvia, Andrew J. Hill, Riza M. Daza, et al.. (2020). A human cell atlas of fetal chromatin accessibility. Science. 370(6518). 230 indexed citations

Cao, Junyue, Malte Spielmann, Xiaojie Qiu, et al.. (2019). The single-cell transcriptional landscape of mammalian organogenesis. Nature. 566(7745). 496–502. 2172 indexed citations breakdown →

Lareau, Caleb A., Fabiana M. Duarte, Jennifer Chew, et al.. (2019). Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nature Biotechnology. 37(8). 916–924. 279 indexed citations

Srivatsan, Sanjay, José L. McFaline‐Figueroa, Vijay Ramani, et al.. (2019). Massively multiplex chemical transcriptomics at single-cell resolution. Science. 367(6473). 45–51. 198 indexed citations

10.

Yin, Yi, Yue Jiang, Kwan-Wood Gabriel Lam, et al.. (2019). High-Throughput Single-Cell Sequencing with Linear Amplification. Molecular Cell. 76(4). 676–690.e10. 78 indexed citations

11.

Cao, Junyue, Darren A. Cusanovich, Vijay Ramani, et al.. (2018). Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science. 361(6409). 1380–1385. 585 indexed citations breakdown →

12.

Mulqueen, Ryan M., Dmitry Pokholok, Steven Norberg, et al.. (2018). Highly scalable generation of DNA methylation profiles in single cells. Nature Biotechnology. 36(5). 428–431. 167 indexed citations

13.

Cao, Junyue, Jonathan S. Packer, Vijay Ramani, et al.. (2017). Comprehensive single-cell transcriptional profiling of a multicellular organism. Science. 357(6352). 661–667. 896 indexed citations breakdown →

14.

Ramani, Vijay, Xinxian Deng, Ruolan Qiu, et al.. (2017). Massively multiplex single-cell Hi-C. Nature Methods. 14(3). 263–266. 380 indexed citations

15.

Vitak, Sarah, Kristof Törkenczy, Jimi L. Rosenkrantz, et al.. (2017). Sequencing thousands of single-cell genomes with combinatorial indexing. Nature Methods. 14(3). 302–308. 199 indexed citations

16.

Cusanovich, Darren A., Riza M. Daza, Andrew C. Adey, et al.. (2015). Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing. Science. 348(6237). 910–914. 829 indexed citations breakdown →

17.

Amini, Sasan, Dmitry Pushkarev, Lena Christiansen, et al.. (2014). Haplotype-resolved whole-genome sequencing by contiguity-preserving transposition and combinatorial indexing. Nature Genetics. 46(12). 1343–1349. 123 indexed citations

18.

Gunderson, Kevin L., Frank J. Steemers, Pauline C. Ng, et al.. (2006). Whole‐Genome Genotyping. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 359–376. 83 indexed citations

19.

Peiffer, Daniel A., Jennie Le, Frank J. Steemers, et al.. (2006). High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Research. 16(9). 1136–1148. 373 indexed citations

20.

Schauer, Caroline L., Frank J. Steemers, & David R. Walt. (2001). A Cross-Reactive, Class-Selective Enzymatic Array Assay. Journal of the American Chemical Society. 123(38). 9443–9444. 7 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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