Sedona E. Murphy

1.0k total citations
9 papers, 590 citations indexed

About

Sedona E. Murphy is a scholar working on Molecular Biology, Biophysics and Cancer Research. According to data from OpenAlex, Sedona E. Murphy has authored 9 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Biophysics and 2 papers in Cancer Research. Recurrent topics in Sedona E. Murphy's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (4 papers) and RNA Research and Splicing (3 papers). Sedona E. Murphy is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (4 papers) and RNA Research and Splicing (3 papers). Sedona E. Murphy collaborates with scholars based in United States and Germany. Sedona E. Murphy's co-authors include Alistair N. Boettiger, Antonina Hafner, Leslie J. Mateo, Elphège P. Nora, Minhee Park, Jeffrey M. Granja, M. Ryan Corces, Katerina Kraft, Thomas R. Cech and Andreas Magg and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sedona E. Murphy

9 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sedona E. Murphy United States	8	560	157	56	40	37	9	590
Marlies E. Oomen United States	7	542 1.0×	170 1.1×	67 1.2×	28 0.7×	24 0.6×	12	590
Feyza Yilmaz United States	7	319 0.6×	149 0.9×	115 2.1×	31 0.8×	25 0.7×	9	418
Roel Oldenkamp United Kingdom	6	479 0.9×	132 0.8×	61 1.1×	35 0.9×	30 0.8×	8	530
Yiming Chang United States	5	347 0.6×	132 0.8×	75 1.3×	31 0.8×	19 0.5×	7	433
Mariya Kryzhanovska Switzerland	5	581 1.0×	123 0.8×	69 1.2×	19 0.5×	33 0.9×	5	623
Huy Q. Nguyen United States	7	448 0.8×	166 1.1×	54 1.0×	21 0.5×	18 0.5×	8	487
Amy Strange United Kingdom	5	210 0.4×	172 1.1×	42 0.8×	19 0.5×	27 0.7×	6	307
Johanna Gassler Austria	7	981 1.8×	338 2.2×	124 2.2×	18 0.5×	47 1.3×	9	1.0k
Rieke Kempfer Germany	5	355 0.6×	102 0.6×	57 1.0×	8 0.2×	26 0.7×	6	381
Galip Gürkan Yardımcı United States	6	466 0.8×	157 1.0×	91 1.6×	19 0.5×	43 1.2×	6	502

Countries citing papers authored by Sedona E. Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Sedona E. Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sedona E. Murphy

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

9 of 9 papers shown

1.

Kraft, Katerina, Sedona E. Murphy, Matthew G. Jones, et al.. (2025). Enhancer activation from transposable elements in extrachromosomal DNA. Nature Cell Biology. 27(11). 1914–1924. 2 indexed citations

2.

Murphy, Sedona E. & Alistair N. Boettiger. (2024). Polycomb repression of Hox genes involves spatial feedback but not domain compaction or phase transition. Nature Genetics. 56(3). 493–504. 13 indexed citations

3.

Hafner, Antonina, et al.. (2023). Loop stacking organizes genome folding from TADs to chromosomes. Molecular Cell. 83(9). 1377–1392.e6. 62 indexed citations

4.

Kraft, Katerina, Kathryn E. Yost, Sedona E. Murphy, et al.. (2022). Polycomb-mediated genome architecture enables long-range spreading of H3K27 methylation. Proceedings of the National Academy of Sciences. 119(22). e2201883119–e2201883119. 58 indexed citations

5.

Mateo, Leslie J., et al.. (2021). Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer–promoter contact. Nature Communications. 12(1). 3423–3423. 19 indexed citations

6.

Rechem, Capucine Van, Fei Ji, Damayanti Chakraborty, et al.. (2020). The lysine demethylase KDM4A controls the cell-cycle expression of replicative canonical histone genes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1863(10). 194624–194624. 8 indexed citations

7.

Boettiger, Alistair N. & Sedona E. Murphy. (2020). Advances in Chromatin Imaging at Kilobase-Scale Resolution. Trends in Genetics. 36(4). 273–287. 92 indexed citations

8.

Mateo, Leslie J., et al.. (2019). Visualizing DNA folding and RNA in embryos at single-cell resolution. Nature. 568(7750). 49–54. 299 indexed citations

9.

Rechem, Capucine Van, Sangita Pal, Thomas L. Clarke, et al.. (2018). Cross-talk between Lysine-Modifying Enzymes Controls Site-Specific DNA Amplifications. Cell. 174(4). 803–817.e16. 37 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.

Explore authors with similar magnitude of impact