Nathaniel Barton

446 total citations
9 papers, 332 citations indexed

About

Nathaniel Barton is a scholar working on Molecular Biology, Immunology and Political Science and International Relations. According to data from OpenAlex, Nathaniel Barton has authored 9 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Political Science and International Relations. Recurrent topics in Nathaniel Barton's work include CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Nathaniel Barton is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Nathaniel Barton collaborates with scholars based in United States, United Kingdom and Australia. Nathaniel Barton's co-authors include Manfred Brigl, Michael B. Brenner, Raju V. V. Tatituri, Veemal Bhowruth, Gurdyal S. Besra, Gerald F. Watts, Fong‐Fu Hsu, Elizabeth A. Leadbetter, Nadia Cohen and Jamie Rossjohn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Nathaniel Barton

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel Barton United States 4 302 51 45 36 21 9 332
Ferdinando Oriolo Italy 5 203 0.7× 60 1.2× 50 1.1× 43 1.2× 25 1.2× 6 292
Garth Cameron Australia 8 363 1.2× 104 2.0× 34 0.8× 35 1.0× 10 0.5× 9 379
Belma Ljutic Canada 8 273 0.9× 53 1.0× 90 2.0× 62 1.7× 17 0.8× 8 385
Elena Bruni Italy 7 225 0.7× 85 1.7× 39 0.9× 39 1.1× 15 0.7× 9 299
Lucy C. Garner United Kingdom 7 215 0.7× 64 1.3× 34 0.8× 47 1.3× 9 0.4× 14 268
Danielle Sartini United States 8 241 0.8× 39 0.8× 60 1.3× 48 1.3× 18 0.9× 9 358
Faye Chan United States 4 394 1.3× 78 1.5× 69 1.5× 36 1.0× 8 0.4× 6 443
Satya P. Singh United States 6 236 0.8× 72 1.4× 22 0.5× 58 1.6× 22 1.0× 11 303
Saif Lalani United States 6 310 1.0× 108 2.1× 21 0.5× 41 1.1× 15 0.7× 7 347
Maya Hassane Lebanon 8 181 0.6× 68 1.3× 29 0.6× 61 1.7× 12 0.6× 14 268

Countries citing papers authored by Nathaniel Barton

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Barton

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

All Works

9 of 9 papers shown
2.
Barton, Nathaniel, Yucheng Zhang, Mohammed Uddin, et al.. (2023). oFlowSeq: a quantitative approach to identify protein coding mutations affecting cell type enrichment using mosaic CRISPR-Cas9 edited cerebral organoids. Human Genetics. 142(8). 1281–1291. 2 indexed citations
3.
Barton, Nathaniel, Yucheng Zhang, George M. Church, et al.. (2023). Modeling of mitochondrial genetic polymorphisms reveals induction of heteroplasmy by pleiotropic disease locus 10398A>G. Scientific Reports. 13(1). 10405–10405. 1 indexed citations
4.
Tran, Khanh V., Nathaniel Barton, Qi Wang, et al.. (2023). Transcriptomics‐based investigation of herpes simplex virus 1 infections and acyclovir treatment in human cerebral organoids. Alzheimer s & Dementia. 19(S24). 1 indexed citations
5.
Russell, Robert C., et al.. (2021). A simple and rapid method for enzymatic synthesis of CRISPR-Cas9 sgRNA libraries. Nucleic Acids Research. 49(22). e131–e131. 6 indexed citations
7.
Barton, Nathaniel. (2018). To Arm or Not to Arm the Kurds: A Look as U.S. National Security Interests in Kurdistan. Pepperdine Digital Commons (Pepperdine University). 10(1). 6. 1 indexed citations
8.
Tatituri, Raju V. V., Gerald F. Watts, Veemal Bhowruth, et al.. (2013). Recognition of microbial and mammalian phospholipid antigens by NKT cells with diverse TCRs. Proceedings of the National Academy of Sciences. 110(5). 1827–1832. 96 indexed citations
9.
Brigl, Manfred, Raju V. V. Tatituri, Gerald F. Watts, et al.. (2011). Innate and cytokine-driven signals, rather than microbial antigens, dominate in natural killer T cell activation during microbial infection. The Journal of Experimental Medicine. 208(6). 1163–1177. 217 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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