Ron Stewart

36.4k total citations · 7 hit papers
101 papers, 21.9k citations indexed

About

Ron Stewart is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ron Stewart has authored 101 papers receiving a total of 21.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 11 papers in Biomedical Engineering and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ron Stewart's work include Pluripotent Stem Cells Research (33 papers), Single-cell and spatial transcriptomics (17 papers) and CRISPR and Genetic Engineering (15 papers). Ron Stewart is often cited by papers focused on Pluripotent Stem Cells Research (33 papers), Single-cell and spatial transcriptomics (17 papers) and CRISPR and Genetic Engineering (15 papers). Ron Stewart collaborates with scholars based in United States, Canada and Australia. Ron Stewart's co-authors include James A. Thomson, Victor Ruotti, Shulan Tian, Junying Yu, Igor I. Slukvin, Jessica Antosiewicz‐Bourget, Kim Smuga-Otto, Jeff Nie, Maxim A. Vodyanik and Guðrún A. Jónsdóttir and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ron Stewart

99 papers receiving 21.5k citations

Hit Papers

5 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.

Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells

2007 7.5k citations Junying Yu, Maxim A. Vodyanik et al. Science profile →
Human DNA methylomes at base resolution show widespread epigenomic differences

2009 3.4k citations Jessica Antosiewicz‐Bourget, Ron Stewart et al. profile →
Human Induced Pluripotent Stem Cells Free of Vector and Transgene Sequences

2009 1.7k citations Junying Yu, Kejin Hu et al. Science profile →
Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells

2011 1.1k citations Jessica Antosiewicz‐Bourget, Ron Stewart et al. profile →
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments

2013 938 citations Ning Leng, James A. Thomson et al. Bioinformatics profile →
RNA-Seq gene expression estimation with read mapping uncertainty

2009 790 citations Bo Li, Victor Ruotti et al. Bioinformatics profile →
Whole-Genome Analysis of Histone H3 Lysine 4 and Lysine 27 Methylation in Human Embryonic Stem Cells

2007 544 citations Shulan Tian, Jeff Nie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ron Stewart United States	44	18.9k	2.6k	2.5k	2.5k	1.8k	101	21.9k
Juan Carlos Izpisúa Belmonte United States	93	22.9k 1.2×	3.4k 1.3×	2.0k 0.8×	4.0k 1.6×	2.1k 1.2×	358	28.2k
Jessica Antosiewicz‐Bourget United States	12	13.6k 0.7×	2.1k 0.8×	1.9k 0.7×	2.1k 0.8×	987 0.6×	14	15.3k
Konrad Hochedlinger United States	71	24.3k 1.3×	3.4k 1.3×	2.6k 1.0×	3.9k 1.6×	1.6k 0.9×	128	27.6k
Victor Ruotti United States	17	12.9k 0.7×	1.9k 0.7×	1.7k 0.7×	1.9k 0.8×	1.3k 0.7×	22	15.0k
Jennifer Nichols United Kingdom	69	25.8k 1.4×	3.1k 1.2×	3.1k 1.2×	3.6k 1.4×	1.4k 0.8×	151	28.6k
Marius Wernig United States	62	27.4k 1.4×	2.7k 1.1×	2.5k 1.0×	3.6k 1.5×	2.5k 1.4×	126	31.3k
Hans R. Schöler Germany	87	27.5k 1.5×	3.7k 1.4×	2.5k 1.0×	5.9k 2.4×	1.6k 0.9×	330	32.6k
Jacob H. Hanna Israel	49	15.6k 0.8×	1.6k 0.6×	1.3k 0.5×	2.3k 0.9×	2.0k 1.1×	111	20.3k
Alexander Meissner United States	75	31.1k 1.6×	2.4k 0.9×	1.6k 0.6×	7.0k 2.8×	4.1k 2.3×	174	36.0k
Peter W. Andrews United Kingdom	63	12.0k 0.6×	2.5k 1.0×	1.7k 0.7×	2.2k 0.9×	860 0.5×	218	15.0k

Countries citing papers authored by Ron Stewart

Since Specialization

Citations

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

Fields of papers citing papers by Ron Stewart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Stewart. 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 Ron Stewart. The network helps show where Ron Stewart may publish in the future.

Co-authorship network of co-authors of Ron Stewart

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

20 of 20 papers shown

Seim, Gretchen, Ian Roberts, Stuart A. Lipton, et al.. (2025). Classically activated macrophages undergo functionally significant nucleotide metabolism remodelling driven by nitric oxide. Nature Metabolism. 7(8). 1681–1702. 3 indexed citations

Millikin, Robert J., Kalpana Raja, I. Ross, et al.. (2023). Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models. BMC Bioinformatics. 24(1). 412–412. 2 indexed citations

Johansson, Mats W., Joseph Balnis, Laura K. Muehlbauer, et al.. (2023). Decreased plasma cartilage acidic protein 1 in COVID‐19. Physiological Reports. 11(17). e15814–e15814. 1 indexed citations

Toh, Huishi, Dennis Clegg, Jingqi Yan, et al.. (2023). Transcriptomic clock predicts vascular changes of prodromal diabetic retinopathy. Scientific Reports. 13(1). 12968–12968. 2 indexed citations

Tattersall, Matthew C., Stéphane Esnault, Ron Stewart, et al.. (2022). Abstract 13269: Effects of Nicotine-Containing Product Challenges on Interleukin-6 Pathway Expression in Human Pluripotent-Derived Arterial Endothelial Cells: The Clues Study. Circulation. 146(Suppl_1). 1 indexed citations

Bacher, Rhonda, Li‐Fang Chu, Jennifer M. Bolin, et al.. (2021). Enhancing biological signals and detection rates in single-cell RNA-seq experiments with cDNA library equalization. Nucleic Acids Research. 50(2). e12–e12. 5 indexed citations

Chu, Li‐Fang, Srikumar Sengupta, Ning Leng, et al.. (2020). Reproducibility across single-cell RNA-seq protocols for spatial ordering analysis. PLoS ONE. 15(9). e0239711–e0239711. 4 indexed citations

Wu, Hua, et al.. (2019). Efficiently Reusing Natural Language Processing Models for Phenotype Identification in Free-text Electronic Medical Records: Methodological Study. UCL Discovery (University College London). 1 indexed citations

Barry, Christopher, Matthew T. Schmitz, Jennifer M. Bolin, et al.. (2019). Automated minute scale RNA-seq of pluripotent stem cell differentiation reveals early divergence of human and mouse gene expression kinetics. PLoS Computational Biology. 15(12). e1007543–e1007543. 7 indexed citations

10.

Zhang, Jue, Li‐Fang Chu, Zhonggang Hou, et al.. (2017). Functional characterization of human pluripotent stem cell-derived arterial endothelial cells. Proceedings of the National Academy of Sciences. 114(30). E6072–E6078. 105 indexed citations

11.

Bacher, Rhonda, Li‐Fang Chu, Ning Leng, et al.. (2017). SCnorm: robust normalization of single-cell RNA-seq data. Nature Methods. 14(6). 584–586. 190 indexed citations

12.

Phillips, M. Joseph, Peng Jiang, Sara E. Howden, et al.. (2017). A Novel Approach to Single Cell RNA-Sequence Analysis Facilitates In Silico Gene Reporting of Human Pluripotent Stem Cell-Derived Retinal Cell Types. Stem Cells. 36(3). 313–324. 46 indexed citations

13.

Leng, Ning, Jeea Choi, Li‐Fang Chu, et al.. (2016). OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data. Bioinformatics. 32(9). 1408–1410. 14 indexed citations

14.

Li, Bo, Nathanael R. Fillmore, Yongsheng Bai, et al.. (2014). Evaluation of de novo transcriptome assemblies from RNA-Seq data. Genome biology. 15(12). 553–553. 185 indexed citations

15.

Hu, Kejin, Junying Yu, Kran Suknuntha, et al.. (2011). Efficient generation of transgene-free induced pluripotent stem cells from normal and neoplastic bone marrow and cord blood mononuclear cells. Blood. 117(14). e109–e119. 180 indexed citations

16.

Sengupta, Srikumar, Jennifer M. Bolin, Victor Ruotti, et al.. (2011). Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA. Journal of Visualized Experiments. e3340–e3340. 22 indexed citations

17.

Yu, Junying, Kejin Hu, Kim Smuga-Otto, et al.. (2009). Human Induced Pluripotent Stem Cells Free of Vector and Transgene Sequences. Science. 324(5928). 797–801. 1718 indexed citations breakdown →

18.

Wei, Hairong, Pei Fen Kuan, Shulan Tian, et al.. (2008). A study of the relationships between oligonucleotide properties and hybridization signal intensities from NimbleGen microarray datasets. Nucleic Acids Research. 36(9). 2926–2938. 36 indexed citations

19.

Yu, Junying, Maxim A. Vodyanik, Kim Smuga-Otto, et al.. (2007). Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells. Science. 318(5858). 1917–1920. 7504 indexed citations breakdown →

20.

Stewart, Ron. (1999). Distance Education and Individuals with Disabilities. 6. 3 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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