Christopher R. Edwards

2.4k total citations · 1 hit paper
7 papers, 1.8k citations indexed

About

Christopher R. Edwards is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Christopher R. Edwards has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Genetics. Recurrent topics in Christopher R. Edwards's work include Erythrocyte Function and Pathophysiology (3 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). Christopher R. Edwards is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). Christopher R. Edwards collaborates with scholars based in United States, Australia and France. Christopher R. Edwards's co-authors include Shelley L. Berger, Craig B. Thompson, Şevin Turcan, Omar Abdel‐Wahab, Patrick S. Ward, Timothy A. Chan, Chao Lü, Raya Khanin, Ingo K. Mellinghoff and Ross L. Levine and has published in prestigious journals such as Nature, Science and Blood.

In The Last Decade

Christopher R. Edwards

7 papers receiving 1.7k 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.

IDH mutation impairs histone demethylation and results in a block to cell differentiation

2012 1.5k citations Chao Lü, Patrick S. Ward et al. Nature profile →

Peers

Christopher R. Edwards

MB

CR

GENET

HEMAT

ONCOL

Dan Rohle United States

Heiko Becker Germany

Michele Massimino Italy

Samuel K. McBrayer United States

Daniel B. Lipka Germany

Ting-Lei Gu United States

Elena Tirrò Italy

S. Tiong Ong United States

Caroline Delmas France

Lorena Lôbo de Figueiredo-Pontes Brazil

Dan Rohle United States

Christopher R. Edwards

1.0k ×0.8

MB

685 ×1.0

CR

527 ×0.9

GENET

266 ×0.8

HEMAT

153 ×1.0

ONCOL

Citations per year, relative to Christopher R. Edwards Christopher R. Edwards (= 1×) peers Dan Rohle

Countries citing papers authored by Christopher R. Edwards

Since Specialization

Citations

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

Fields of papers citing papers by Christopher R. Edwards

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Edwards. 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 Christopher R. Edwards. The network helps show where Christopher R. Edwards may publish in the future.

Co-authorship network of co-authors of Christopher R. Edwards

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

All Works

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7 of 7 papers shown

1.

Grevet, Jeremy D., Xianjiang Lan, Nicole Hamagami, et al.. (2018). Domain-focused CRISPR screen identifies HRI as a fetal hemoglobin regulator in human erythroid cells. Science. 361(6399). 285–290. 106 indexed citations

2.

Snider, Karen T., et al.. (2018). Ultrasonographic Evaluation of the Effect of Osteopathic Manipulative Treatment on Sacral Base Asymmetry. Journal of Osteopathic Medicine. 118(3). 159–169. 3 indexed citations

3.

Hsu, Sarah, Thomas G. Gilgenast, Caroline Bartman, et al.. (2017). The BET Protein BRD2 Cooperates with CTCF to Enforce Transcriptional and Architectural Boundaries. Molecular Cell. 66(1). 102–116.e7. 94 indexed citations

4.

Edwards, Christopher R., William Ritchie, Justin Wong, et al.. (2016). A dynamic intron retention program in the mammalian megakaryocyte and erythrocyte lineages. Blood. 127(17). e24–e34. 78 indexed citations

5.

Edwards, Christopher R., Tejaswini Mishra, Narla Mohandas, et al.. (2015). A Dynamic Intron Retention Program in the Mammalian Megakaryocyte and Erythrocyte Lineages. Blood. 126(23). 2380–2380. 1 indexed citations

6.

Lü, Chao, Patrick S. Ward, Gurpreet S. Kapoor, et al.. (2012). IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature. 483(7390). 474–478. 1453 indexed citations breakdown →

7.

Edwards, Christopher R., Weiwei Dang, & Shelley L. Berger. (2011). Histone H4 Lysine 20 of Saccharomyces cerevisiae Is Monomethylated and Functions in Subtelomeric Silencing. Biochemistry. 50(48). 10473–10483. 21 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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