Jeffrey R. Shearstone

1.5k total citations
27 papers, 1.0k citations indexed

About

Jeffrey R. Shearstone is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Jeffrey R. Shearstone has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Hematology. Recurrent topics in Jeffrey R. Shearstone's work include Epigenetics and DNA Methylation (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Erythrocyte Function and Pathophysiology (4 papers). Jeffrey R. Shearstone is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Erythrocyte Function and Pathophysiology (4 papers). Jeffrey R. Shearstone collaborates with scholars based in United States, Netherlands and Japan. Jeffrey R. Shearstone's co-authors include Ramona Pop, Merav Socolovsky, François Baneyx, Miroslav Koulnis, Ermelinda Porpiglia, Daniel Hidalgo, Maria Trojanowska, Edwin A. Smith, Jaspreet Pannu and Humphrey Gardner and has published in prestigious journals such as Science, Journal of Biological Chemistry and Blood.

In The Last Decade

Jeffrey R. Shearstone

27 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey R. Shearstone United States 15 644 164 145 139 138 27 1.0k
Siân Rizzo United Kingdom 15 601 0.9× 167 1.0× 179 1.2× 111 0.8× 48 0.3× 25 1.1k
Djoke van Gosliga Netherlands 13 570 0.9× 102 0.6× 237 1.6× 88 0.6× 37 0.3× 18 978
Sudhir Rao United States 11 626 1.0× 84 0.5× 254 1.8× 116 0.8× 59 0.4× 14 1.1k
Taiju Utsugisawa Japan 15 772 1.2× 67 0.4× 188 1.3× 87 0.6× 43 0.3× 39 1.0k
Alwin Kraemer Germany 12 485 0.8× 48 0.3× 241 1.7× 119 0.9× 87 0.6× 22 899
Benjamin J. Thompson United States 11 901 1.4× 49 0.3× 301 2.1× 97 0.7× 53 0.4× 22 1.3k
Hisako Sakiyama Japan 18 496 0.8× 109 0.7× 82 0.6× 70 0.5× 49 0.4× 42 937
Delphine Ndiaye‐Lobry France 10 852 1.3× 39 0.2× 232 1.6× 100 0.7× 54 0.4× 16 1.2k
Margaret R. Hough Canada 13 644 1.0× 45 0.3× 181 1.2× 81 0.6× 37 0.3× 26 932
Arati Khanna‐Gupta United States 19 802 1.2× 70 0.4× 321 2.2× 91 0.7× 36 0.3× 41 1.2k

Countries citing papers authored by Jeffrey R. Shearstone

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey R. Shearstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey R. Shearstone

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Shearstone. A scholar is included among the top collaborators of Jeffrey R. Shearstone 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 Jeffrey R. Shearstone. Jeffrey R. Shearstone 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.
Fiore, Christopher, et al.. (2023). Erythroid lineage chromatin accessibility maps facilitate identification and validation of NFIX as a fetal hemoglobin repressor. Communications Biology. 6(1). 640–640. 5 indexed citations
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Min, Chengyin, Nathan W. Moore, Jeffrey R. Shearstone, et al.. (2017). Selective Inhibitors of Histone Deacetylases 1 and 2 Synergize with Azacitidine in Acute Myeloid Leukemia. PLoS ONE. 12(1). e0169128–e0169128. 19 indexed citations
5.
Shearstone, Jeffrey R., Olga Golonzhka, Apurva Chonkar, et al.. (2016). Chemical Inhibition of Histone Deacetylases 1 and 2 Induces Fetal Hemoglobin through Activation of GATA2. PLoS ONE. 11(4). e0153767–e0153767. 28 indexed citations
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Shearstone, Jeffrey R., John H. van Duzer, Simon S. Jones, & Matthew Jarpe. (2013). Mechanistic Insights Into Fetal Hemoglobin (HbF) Induction Through Chemical Inhibition Of Histone Deacetylase 1 and 2 (HDAC1/2). Blood. 122(21). 2253–2253. 2 indexed citations
8.
Gerson, Kristin D., et al.. (2012). Integrin β4 Regulates SPARC Protein to Promote Invasion. Journal of Biological Chemistry. 287(13). 9835–9844. 37 indexed citations
9.
Koulnis, Miroslav, Ramona Pop, Ermelinda Porpiglia, et al.. (2011). Identification and Analysis of Mouse Erythroid Progenitors using the CD71/TER119 Flow-cytometric Assay. Journal of Visualized Experiments. 108 indexed citations
10.
Shearstone, Jeffrey R., Ramona Pop, Christoph Bock, et al.. (2011). Global DNA Demethylation During Mouse Erythropoiesis in Vivo. Science. 334(6057). 799–802. 115 indexed citations
11.
Pop, Ramona, Jeffrey R. Shearstone, Qichang Shen, et al.. (2010). A Key Commitment Step in Erythropoiesis Is Synchronized with the Cell Cycle Clock through Mutual Inhibition between PU.1 and S-Phase Progression. PLoS Biology. 8(9). e1000484–e1000484. 140 indexed citations
12.
Shearstone, Jeffrey R., Ramona Pop, & Merav Socolovsky. (2010). Global DNA Demethylation During Physiological Erythropoiesis In Vivo. Blood. 116(21). 2083–2083. 1 indexed citations
13.
Ishigaki, Shinsuke, Sonya G. Fonseca, Christine M. Oslowski, et al.. (2009). AATF mediates an antiapoptotic effect of the unfolded protein response through transcriptional regulation of AKT1. Cell Death and Differentiation. 17(5). 774–786. 47 indexed citations
14.
Dohi, Taeko, Anna Borodovsky, Ping Wu, et al.. (2008). TWEAK/Fn14 Pathway: A Nonredundant Role in Intestinal Damage in Mice Through a TWEAK/Intestinal Epithelial Cell Axis. Gastroenterology. 136(3). 912–923.e8. 61 indexed citations
15.
Gardner, Humphrey, Jeffrey R. Shearstone, Raj Bandaru, et al.. (2006). Gene profiling of scleroderma skin reveals robust signatures of disease that are imperfectly reflected in the transcript profiles of explanted fibroblasts. Arthritis & Rheumatism. 54(6). 1961–1973. 135 indexed citations
16.
Pannu, Jaspreet, Humphrey Gardner, Jeffrey R. Shearstone, Edwin A. Smith, & Maria Trojanowska. (2006). Increased levels of transforming growth factor β receptor type I and up‐regulation of matrix gene program: A model of scleroderma. Arthritis & Rheumatism. 54(9). 3011–3021. 53 indexed citations
17.
Shearstone, Jeffrey R., et al.. (2006). Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes. Genomics. 88(1). 111–121. 8 indexed citations
18.
Shearstone, Jeffrey R., Norm Allaire, Chunhua Yang, et al.. (2004). Application of functional genomic technologies in a mouse model of retinal degeneration. Genomics. 85(3). 309–321. 5 indexed citations
19.
Shearstone, Jeffrey R., et al.. (2002). Nondestructive Quality Control for Microarray Production. BioTechniques. 32(5). 1051–1057. 13 indexed citations
20.
Shearstone, Jeffrey R. & François Baneyx. (1999). Biochemical Characterization of the Small Heat Shock Protein IbpB from Escherichia coli. Journal of Biological Chemistry. 274(15). 9937–9945. 83 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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