Kyle J. Hewitt

1.8k total citations
29 papers, 1.3k citations indexed

About

Kyle J. Hewitt is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Kyle J. Hewitt has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Surgery. Recurrent topics in Kyle J. Hewitt's work include Pluripotent Stem Cells Research (8 papers), Erythrocyte Function and Pathophysiology (8 papers) and Epigenetics and DNA Methylation (7 papers). Kyle J. Hewitt is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Erythrocyte Function and Pathophysiology (8 papers) and Epigenetics and DNA Methylation (7 papers). Kyle J. Hewitt collaborates with scholars based in United States, Israel and South Korea. Kyle J. Hewitt's co-authors include Patrice J. Morin, Rachana Agarwal, Jonathan A. Garlick, Emery H. Bresnick, Yulia Shamis, Kirby D. Johnson, Mark W. Carlson, Ashani T. Weeraratna, Michael P. O’Connell and Randall T. Moon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Kyle J. Hewitt

27 papers receiving 1.3k citations

Peers

Kyle J. Hewitt

NEURO

ONCOL

Taocong Jin United States

Anastasia Sacharidou United States

Federica Servida Italy

Dörte Schulte Germany

Tom T. Chen United States

Kenichi Miharada Japan

Jean‐Marie Rakic Belgium

Mingzhe Zheng China

Chrystelle Lamagna United States

Scott Swanson United States

Taocong Jin United States

Kyle J. Hewitt

708 ×1.0

181 ×0.6

NEURO

318 ×1.4

ONCOL

164 ×0.8

86 ×0.5

Citations per year, relative to Kyle J. Hewitt Kyle J. Hewitt (= 1×) peers Taocong Jin

Countries citing papers authored by Kyle J. Hewitt

Since Specialization

Citations

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

Fields of papers citing papers by Kyle J. Hewitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle J. Hewitt. 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 Kyle J. Hewitt. The network helps show where Kyle J. Hewitt may publish in the future.

Co-authorship network of co-authors of Kyle J. Hewitt

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

All Works

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20 of 20 papers shown

Harris, Hannah L., Avik Choudhuri, Song Yang, et al.. (2025). Regeneration alters open chromatin andcis-regulatory landscape of erythroid precursors. Genome Research. 35(7). 1518–1529.

Hewitt, Kyle J., et al.. (2023). Sticky, Adaptable, and Many‐sided: SAM protein versatility in normal and pathological hematopoietic states. BioEssays. 45(8). e2300022–e2300022. 5 indexed citations

Harris, Hannah L., et al.. (2023). Defining a cohort of anemia-activated cis elements reveals a mechanism promoting erythroid precursor function. Blood Advances. 7(20). 6325–6338. 4 indexed citations

Chava, Srinivas, et al.. (2023). Physiological and regenerative functions of sterile-α motif protein-14 in hematopoiesis. Experimental Hematology. 128. 38–47. 1 indexed citations

Chee, Linda, et al.. (2022). Functional requirements for a Samd14-capping protein complex in stress erythropoiesis. eLife. 11. 4 indexed citations

Chee, Linda, et al.. (2020). Sterile α-motif domain requirement for cellular signaling and survival. Journal of Biological Chemistry. 295(20). 7113–7125. 9 indexed citations

Hewitt, Kyle J., Koichi R. Katsumura, Daniel R. Matson, et al.. (2017). GATA Factor-Regulated Samd14 Enhancer Confers Red Blood Cell Regeneration and Survival in Severe Anemia. Developmental Cell. 42(3). 213–225.e4. 30 indexed citations

McIver, Skye C, Kyle J. Hewitt, Xin Gao, et al.. (2017). Dissecting Regulatory Mechanisms Using Mouse Fetal Liver-Derived Erythroid Cells. Methods in molecular biology. 1698. 67–89. 15 indexed citations

Hewitt, Kyle J., et al.. (2016). A hierarchical framework for state-space matrix inference and clustering. The Annals of Applied Statistics. 10(3). 1348–1372. 2 indexed citations

10.

Hewitt, Kyle J., Rajendran Sanalkumar, Kirby D. Johnson, et al.. (2015). Hematopoietic Signaling Mechanism Revealed from a Stem/Progenitor Cell Cistrome. Molecular Cell. 59(1). 62–74. 36 indexed citations

11.

Hewitt, Kyle J., Rajendran Sanalkumar, Kirby D. Johnson, Sündüz Keleş, & Emery H. Bresnick. (2014). Epigenetic and genetic mechanisms in red cell biology. Current Opinion in Hematology. 21(3). 155–164. 9 indexed citations

12.

Hewitt, Kyle J., Yulia Shamis, Behzad Gerami‐Naini, & Jonathan A. Garlick. (2013). Strategies for Oral Mucosal Repair by Engineering 3D Tissues with Pluripotent Stem Cells. Advances in Wound Care. 3(12). 742–750. 4 indexed citations

13.

Shamis, Yulia, Eduardo A. Silva, Kyle J. Hewitt, et al.. (2013). Fibroblasts Derived from Human Pluripotent Stem Cells Activate Angiogenic Responses In Vitro and In Vivo. PLoS ONE. 8(12). e83755–e83755. 25 indexed citations

14.

Shamis, Yulia, Kyle J. Hewitt, S E Bear, et al.. (2012). iPSC-derived fibroblasts demonstrate augmented production and assembly of extracellular matrix proteins. In Vitro Cellular & Developmental Biology - Animal. 48(2). 112–122. 33 indexed citations

15.

Hewitt, Kyle J., Yulia Shamis, Avi Smith, et al.. (2012). PDGFRβ Expression and Function in Fibroblasts Derived from Pluripotent Cells is Linked to DNA Demethylation. Journal of Cell Science. 125(Pt 9). 2276–87. 30 indexed citations

16.

Shamis, Yulia, Kyle J. Hewitt, Mark W. Carlson, et al.. (2011). Fibroblasts derived from human embryonic stem cells direct development and repair of 3D human skin equivalents. Stem Cell Research & Therapy. 2(1). 10–10. 51 indexed citations

17.

Hewitt, Kyle J., Yulia Shamis, Ryan B. Hayman, et al.. (2011). Epigenetic and Phenotypic Profile of Fibroblasts Derived from Induced Pluripotent Stem Cells. PLoS ONE. 6(2). e17128–e17128. 43 indexed citations

18.

Hewitt, Kyle J., Yulia Shamis, Mark W. Carlson, et al.. (2009). Three-Dimensional Epithelial Tissues Generated from Human Embryonic Stem Cells. Tissue Engineering Part A. 15(11). 3417–3426. 48 indexed citations

19.

Dissanayake, Samudra K., Michael S. Wade, Carrie E. Johnson, et al.. (2007). The Wnt5A/Protein Kinase C Pathway Mediates Motility in Melanoma Cells via the Inhibition of Metastasis Suppressors and Initiation of an Epithelial to Mesenchymal Transition. Journal of Biological Chemistry. 282(23). 17259–17271. 294 indexed citations

20.

Hewitt, Kyle J., Rachana Agarwal, & Patrice J. Morin. (2006). The claudin gene family: expression in normal and neoplastic tissues. BMC Cancer. 6(1). 186–186. 409 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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