Nathan C. Boles

4.4k total citations · 1 hit paper
33 papers, 2.9k citations indexed

About

Nathan C. Boles is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Nathan C. Boles has authored 33 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Hematology and 9 papers in Immunology. Recurrent topics in Nathan C. Boles's work include Hematopoietic Stem Cell Transplantation (10 papers), Retinal Development and Disorders (8 papers) and Retinal Diseases and Treatments (6 papers). Nathan C. Boles is often cited by papers focused on Hematopoietic Stem Cell Transplantation (10 papers), Retinal Development and Disorders (8 papers) and Retinal Diseases and Treatments (6 papers). Nathan C. Boles collaborates with scholars based in United States, Australia and Mexico. Nathan C. Boles's co-authors include Margaret A. Goodell, David C. Weksberg, Grant A. Challen, Katherine Y. King, Stuart M. Chambers, Megan T. Baldridge, Sally Temple, Kuan‐Yin Lin, Thomas R. Kiehl and Timothy A. Blenkinsop and has published in prestigious journals such as Nature, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Nathan C. Boles

32 papers receiving 2.9k citations

Hit Papers

Quiescent haematopoietic stem cells are activated by IFN-... 2010 2026 2015 2020 2010 200 400 600

Peers

Nathan C. Boles
Katrin Busch Germany
Anne E. Bygrave United Kingdom
Borja Sáez United States
Katrin Busch Germany
Nathan C. Boles
Citations per year, relative to Nathan C. Boles Nathan C. Boles (= 1×) peers Katrin Busch

Countries citing papers authored by Nathan C. Boles

Since Specialization
Citations

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

Fields of papers citing papers by Nathan C. Boles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan C. Boles. 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 Nathan C. Boles. The network helps show where Nathan C. Boles may publish in the future.

Co-authorship network of co-authors of Nathan C. Boles

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan C. Boles. A scholar is included among the top collaborators of Nathan C. Boles 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 Nathan C. Boles. Nathan C. Boles 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.
Alam, Nazia M., et al.. (2023). Identifying biomarkers of heterogeneity and transplantation efficacy in retinal pigment epithelial cells. The Journal of Experimental Medicine. 220(12). 9 indexed citations
2.
Wang, Yue, Susan K. Goderie, Francis Doyle, et al.. (2021). STAU2 binds a complex RNA cargo that changes temporally with production of diverse intermediate progenitor cells during mouse corticogenesis. Development. 148(15). 3 indexed citations
3.
David, Brian T., et al.. (2021). Treatment with hypoxia‐mimetics protects cultured rat Schwann cells against oxidative stress‐induced cell death. Glia. 69(9). 2215–2234. 11 indexed citations
4.
Charniga, Carol, et al.. (2020). Single-Cell RNA Sequencing Reveals the Heterogeneity of the Human Retinal Pigment Epithelium. Investigative Ophthalmology & Visual Science. 61(7). 3182–3182.
5.
Boles, Nathan C., Marie Fernandes, Rajini Srinivasan, et al.. (2020). Epigenomic and Transcriptomic Changes During Human RPE EMT in a Stem Cell Model of Epiretinal Membrane Pathogenesis and Prevention by Nicotinamide. Stem Cell Reports. 14(4). 631–647. 54 indexed citations
6.
Schiff, Lauren, et al.. (2019). P38 inhibition reverses TGFβ1 and TNFα-induced contraction in a model of proliferative vitreoretinopathy. Communications Biology. 2(1). 162–162. 31 indexed citations
7.
Ganapathi, Mythily, Nathan C. Boles, Carol Charniga, et al.. (2018). Effect of Bmi1 over-expression on gene expression in adult and embryonic murine neural stem cells. Scientific Reports. 8(1). 7464–7464. 20 indexed citations
8.
Apostolopoulou, Maria, Thomas R. Kiehl, Mark Winter, et al.. (2017). Non-monotonic Changes in Progenitor Cell Behavior and Gene Expression during Aging of the Adult V-SVZ Neural Stem Cell Niche. Stem Cell Reports. 9(6). 1931–1947. 36 indexed citations
9.
Davis, Richard J., Nazia M. Alam, Cuiping Zhao, et al.. (2017). The Developmental Stage of Adult Human Stem Cell-Derived Retinal Pigment Epithelium Cells Influences Transplant Efficacy for Vision Rescue. Stem Cell Reports. 9(1). 42–49. 48 indexed citations
10.
Saini, Janmeet S., Barbara Corneo, Justine D. Miller, et al.. (2017). Nicotinamide Ameliorates Disease Phenotypes in a Human iPSC Model of Age-Related Macular Degeneration. Cell stem cell. 20(5). 635–647.e7. 130 indexed citations
11.
Zhao, Cuiping, Nathan C. Boles, Justine D. Miller, et al.. (2017). Development of a Refined Protocol for Trans-scleral Subretinal Transplantation of Human Retinal Pigment Epithelial Cells into Rat Eyes. Journal of Visualized Experiments. 11 indexed citations
12.
Boles, Nathan C., et al.. (2016). Big Data access and infrastructure for modern biology: case studies in data repository utility. Annals of the New York Academy of Sciences. 1387(1). 112–123. 2 indexed citations
13.
Rossi, Lara, Kuan‐Yin Lin, Nathan C. Boles, et al.. (2012). Less Is More: Unveiling the Functional Core of Hematopoietic Stem Cells through Knockout Mice. Cell stem cell. 11(3). 302–317. 148 indexed citations
14.
Berg, Jonathan S., Kuan‐Yin Lin, Corinne Sonnet, et al.. (2011). Imprinted Genes That Regulate Early Mammalian Growth Are Coexpressed in Somatic Stem Cells. PLoS ONE. 6(10). e26410–e26410. 56 indexed citations
15.
Lin, Kuan‐Yin, Lara Rossi, Nathan C. Boles, et al.. (2011). CD81 Is Essential for the Re-entry of Hematopoietic Stem Cells to Quiescence following Stress-Induced Proliferation Via Deactivation of the Akt Pathway. PLoS Biology. 9(9). e1001148–e1001148. 39 indexed citations
16.
Boles, Nathan C., Sirisha Peddibhotla, Alice Chen, Margaret A. Goodell, & Jeffrey M. Rosen. (2010). Chk1 Haploinsufficiency Results in Anemia and Defective Erythropoiesis. PLoS ONE. 5(1). e8581–e8581. 26 indexed citations
17.
Challen, Grant A., Nathan C. Boles, Stuart M. Chambers, & Margaret A. Goodell. (2010). Distinct Hematopoietic Stem Cell Subtypes Are Differentially Regulated by TGF-β1. Cell stem cell. 6(3). 265–278. 441 indexed citations
18.
Baldridge, Megan T., Katherine Y. King, Nathan C. Boles, David C. Weksberg, & Margaret A. Goodell. (2010). Quiescent haematopoietic stem cells are activated by IFN-γ in response to chronic infection. Nature. 465(7299). 793–797. 676 indexed citations breakdown →
19.
Challen, Grant A., et al.. (2008). Mouse hematopoietic stem cell identification and analysis. Cytometry Part A. 75A(1). 14–24. 259 indexed citations
20.
Ramos, Carlos A., Nathan C. Boles, Akil Merchant, et al.. (2006). Evidence for Diversity in Transcriptional Profiles of Single Hematopoietic Stem Cells. PLoS Genetics. 2(9). e159–e159. 39 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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