Sarah Correll

2.1k total citations · 1 hit paper
6 papers, 1.6k citations indexed

About

Sarah Correll is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Sarah Correll has authored 6 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Sarah Correll's work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (2 papers) and NF-κB Signaling Pathways (2 papers). Sarah Correll is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (2 papers) and NF-κB Signaling Pathways (2 papers). Sarah Correll collaborates with scholars based in United States. Sarah Correll's co-authors include Sergei A. Grigoryev, Lauriebeth Leonelli, Yanming Wang, Sonja C. Stadler, Hyunsil Han, Scott A. Coonrod, Danchen Wang, Pingxin Li, C. David Allis and Ryo Hayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Sarah Correll

6 papers receiving 1.6k 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.

Histone hypercitrullination mediates chromatin decondensation and neutrophil extracellular trap formation

2009 1.2k citations Yanming Wang, Ming Li et al. The Journal of Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah Correll United States	6	1.1k	782	189	178	167	6	1.6k
Ryo Hayama United States	9	1.0k 1.0×	637 0.8×	187 1.0×	180 1.0×	217 1.3×	12	1.5k
Hyunsil Han United States	7	1.1k 1.1×	508 0.6×	272 1.4×	187 1.1×	166 1.0×	14	1.5k
Yatin M. Vyas United States	19	848 0.8×	382 0.5×	111 0.6×	186 1.0×	91 0.5×	26	1.5k
Salar N. Khan United States	8	734 0.7×	301 0.4×	144 0.8×	131 0.7×	109 0.7×	13	914
Katrina L. Randall Australia	17	1.0k 1.0×	270 0.3×	118 0.6×	80 0.4×	171 1.0×	29	1.5k
Paul Chien United States	19	675 0.6×	565 0.7×	228 1.2×	80 0.4×	109 0.7×	40	1.5k
G Konwalinka Austria	16	1.6k 1.5×	588 0.8×	79 0.4×	76 0.4×	138 0.8×	48	2.2k
Scott R. Brodeur United States	14	960 0.9×	359 0.5×	258 1.4×	55 0.3×	93 0.6×	24	1.6k
Nobuaki Kawamura Japan	19	1.2k 1.1×	363 0.5×	101 0.5×	103 0.6×	450 2.7×	51	1.9k
R J Noelle United States	13	2.3k 2.2×	363 0.5×	248 1.3×	61 0.3×	250 1.5×	14	2.8k

Countries citing papers authored by Sarah Correll

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Correll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Correll

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Correll. A scholar is included among the top collaborators of Sarah Correll 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 Sarah Correll. Sarah Correll 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:

6 of 6 papers shown

1.

Correll, Sarah, et al.. (2012). Short nucleosome repeats impose rotational modulations on chromatin fibre folding. The EMBO Journal. 31(10). 2416–2426. 97 indexed citations

2.

Rochman, Mark, Yuri V. Postnikov, Sarah Correll, et al.. (2009). The Interaction of NSBP1/HMGN5 with Nucleosomes in Euchromatin Counteracts Linker Histone-Mediated Chromatin Compaction and Modulates Transcription. Molecular Cell. 35(5). 642–656. 91 indexed citations

3.

Wang, Yanming, Ming Li, Sonja C. Stadler, et al.. (2009). Histone hypercitrullination mediates chromatin decondensation and neutrophil extracellular trap formation. The Journal of Experimental Medicine. 206(2). i1–i1. 39 indexed citations

4.

Grigoryev, Sergei A., Gaurav Arya, Sarah Correll, Christopher L. Woodcock, & Tamar Schlick. (2009). Evidence for heteromorphic chromatin fibers from analysis of nucleosome interactions. Proceedings of the National Academy of Sciences. 106(32). 13317–13322. 190 indexed citations

5.

Wang, Yanming, Ming Li, Sonja C. Stadler, et al.. (2009). Histone hypercitrullination mediates chromatin decondensation and neutrophil extracellular trap formation. The Journal of Cell Biology. 184(2). 205–213. 1181 indexed citations breakdown →

6.

Laurent, G, Emilienne Kühlein, Pierre Casellas, et al.. (1986). Determination of sensitivity of fresh leukemia cells to immunotoxins.. PubMed. 46(5). 2289–94. 49 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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