Sarah E. Johnstone

12.9k total citations · 3 hit papers
24 papers, 6.3k citations indexed

About

Sarah E. Johnstone is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Sarah E. Johnstone has authored 24 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Sarah E. Johnstone's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (6 papers) and Pluripotent Stem Cells Research (3 papers). Sarah E. Johnstone is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (6 papers) and Pluripotent Stem Cells Research (3 papers). Sarah E. Johnstone collaborates with scholars based in United States, United Kingdom and Belgium. Sarah E. Johnstone's co-authors include Richard A. Young, Tong Ihn Lee, Megan F. Cole, Stuart S. Levine, Rudolf Jaenisch, Matthew G. Guenther, David K. Gifford, Heather L. Murray, Jacob Zucker and Laurie A. Boyer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sarah E. Johnstone

22 papers receiving 6.2k citations

Hit Papers

Core Transcriptional Regulatory Circuitry in Human Embryo... 2005 2026 2012 2019 2005 2008 2006 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Johnstone United States 12 5.7k 1.1k 565 539 437 24 6.3k
Roshan Kumar United States 17 4.8k 0.8× 1.0k 0.9× 486 0.9× 460 0.9× 386 0.9× 32 5.5k
G. Grant Welstead United States 15 4.6k 0.8× 512 0.5× 458 0.8× 905 1.7× 346 0.8× 22 5.6k
Heather L. Murray United States 11 4.3k 0.8× 573 0.5× 570 1.0× 623 1.2× 684 1.6× 11 5.2k
Shaorong Gao China 48 6.6k 1.2× 578 0.5× 212 0.4× 1.1k 2.1× 421 1.0× 221 7.7k
Hao Zhu United States 37 4.4k 0.8× 1.6k 1.4× 471 0.8× 628 1.2× 615 1.4× 116 6.2k
Paul S. Knoepfler United States 43 4.5k 0.8× 516 0.5× 677 1.2× 726 1.3× 483 1.1× 88 5.8k
Miguel Ramalho‐Santos United States 35 6.2k 1.1× 480 0.4× 454 0.8× 1.1k 2.0× 756 1.7× 57 7.4k
Robert Ivánek Switzerland 28 3.1k 0.6× 623 0.6× 694 1.2× 691 1.3× 195 0.4× 52 4.7k
Ryo Matoba Japan 30 2.8k 0.5× 622 0.6× 461 0.8× 446 0.8× 300 0.7× 69 3.8k
José M. Polo Australia 41 6.2k 1.1× 605 0.5× 1.1k 1.9× 717 1.3× 717 1.6× 110 8.6k

Countries citing papers authored by Sarah E. Johnstone

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Johnstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Johnstone

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Johnstone. A scholar is included among the top collaborators of Sarah E. Johnstone 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 E. Johnstone. Sarah E. Johnstone 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
1.
Tak, Y. Esther, Viraat Y. Goel, Mital S. Bhakta, et al.. (2025). High-resolution CTCF footprinting reveals impact of chromatin state on cohesin extrusion. Nature Communications. 16(1). 4506–4506. 2 indexed citations
2.
Eyler, Christine E., et al.. (2025). Rewiring cancer: 3D genome determinants of cancer hallmarks. Current Opinion in Genetics & Development. 91. 102307–102307. 1 indexed citations
4.
Rahme, Gilbert J., et al.. (2023). Modeling epigenetic lesions that cause gliomas. Cell. 186(17). 3674–3685.e14. 44 indexed citations
5.
Johnstone, Sarah E., et al.. (2023). The Role of Multilevel Intercostal Nerve Block in Local Anesthetic Thoracoscopy. Journal of Bronchology & Interventional Pulmonology. 31(2). 183–187. 4 indexed citations
6.
Bevill, Samantha M., Chadi A. El Farran, E. M. Hegazi, et al.. (2023). Impact of supraphysiologic MDM2 expression on chromatin networks and therapeutic responses in sarcoma. Cell Genomics. 3(7). 100321–100321. 5 indexed citations
7.
Roh, Heejin, Corin Wagen, Eric S. Zhou, et al.. (2022). Polycomb-lamina antagonism partitions heterochromatin at the nuclear periphery. Nature Communications. 13(1). 4199–4199. 17 indexed citations
8.
Johnstone, Sarah E., et al.. (2022). Subcutaneous Emphysema Risk Following Indwelling Pleural Catheter Insertion During Rigid Local Anesthetic Thoracoscopy. Journal of Bronchology & Interventional Pulmonology. 30(4). 368–372.
9.
Qi, Yifeng, Alejandro Reyes, Sarah E. Johnstone, et al.. (2020). Data-Driven Polymer Model for Mechanistic Exploration of Diploid Genome Organization. Biophysical Journal. 119(9). 1905–1916. 43 indexed citations
10.
Kurzawa, Paweł, John T. Mullen, Yen‐Lin Chen, et al.. (2020). Prognostic Value of Myogenic Differentiation in Dedifferentiated Liposarcoma. The American Journal of Surgical Pathology. 44(6). 799–804. 11 indexed citations
11.
Flavahan, William, Yotam Drier, Sarah E. Johnstone, et al.. (2019). Altered chromosomal topology drives oncogenic programs in SDH-deficient GISTs. Nature. 575(7781). 229–233. 169 indexed citations
13.
Johnstone, Sarah E., Clara Penas, Vasileios Stathias, et al.. (2014). EG-04 * DEVELOPMENT OF HIGHLY POTENT, SELECTIVE BET BROMODOMAIN INHIBITORS THAT ARE CNS PENETRANT AND EFFECTIVE IN RODENT MODELS OF BRAIN CANCER. Neuro-Oncology. 16(suppl 5). v75–v75. 1 indexed citations
14.
Easwaran, Hariharan, Sarah E. Johnstone, Leander Van Neste, et al.. (2012). A DNA hypermethylation module for the stem/progenitor cell signature of cancer. Genome Research. 22(5). 837–849. 191 indexed citations
15.
Johnstone, Sarah E. & Stephen B. Baylin. (2010). Stress and the epigenetic landscape: a link to the pathobiology of human diseases?. Nature Reviews Genetics. 11(11). 806–812. 94 indexed citations
16.
Marson, Alexander, Stuart S. Levine, Megan F. Cole, et al.. (2008). Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells. Cell. 134(3). 521–533. 1104 indexed citations breakdown →
17.
Cole, Megan F., Sarah E. Johnstone, Jamie J. Newman, Michael H. Kagey, & Richard A. Young. (2008). Tcf3 is an integral component of the core regulatory circuitry of embryonic stem cells. Genes & Development. 22(6). 746–755. 397 indexed citations
18.
Lee, Tong Ihn, Sarah E. Johnstone, & Richard A. Young. (2006). Chromatin immunoprecipitation and microarray-based analysis of protein location. Nature Protocols. 1(2). 729–748. 585 indexed citations breakdown →
19.
Boyer, Laurie A., Tong Ihn Lee, Megan F. Cole, et al.. (2005). Core Transcriptional Regulatory Circuitry in Human Embryonic Stem Cells. Cell. 122(6). 947–956. 3407 indexed citations breakdown →
20.
Mayfield, Jacob A., Aretha Fiebig, Sarah E. Johnstone, & Daphne Preuss. (2001). Gene Families from the Arabidopsis thaliana Pollen Coat Proteome. Science. 292(5526). 2482–2485. 182 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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