John White

843 total citations · 1 hit paper
9 papers, 659 citations indexed

About

John White is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, John White has authored 9 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in John White's work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (6 papers) and RNA Interference and Gene Delivery (2 papers). John White is often cited by papers focused on Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (6 papers) and RNA Interference and Gene Delivery (2 papers). John White collaborates with scholars based in United States and China. John White's co-authors include James M. Wilson, Zhenning He, Lili Wang, Peter Bell, Hongwei Yu, Yang Yang, Deirdre McMenamin, Hiroki Morizono, Mark L. Batshaw and Chenyu Xu and has published in prestigious journals such as Blood, Nature Biotechnology and Science Advances.

In The Last Decade

John White

8 papers receiving 649 citations

Hit Papers

A dual AAV system enables the Cas9-mediated correction of... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John White United States 6 576 308 64 55 54 9 659
Deirdre McMenamin United States 8 688 1.2× 441 1.4× 61 1.0× 64 1.2× 61 1.1× 14 816
Hiu Man Grisch‐Chan Switzerland 10 612 1.1× 250 0.8× 33 0.5× 89 1.6× 40 0.7× 16 686
Camilo Breton United States 10 360 0.6× 255 0.8× 29 0.5× 19 0.3× 56 1.0× 13 464
Ayrea Hurley United States 8 331 0.6× 145 0.5× 26 0.4× 13 0.2× 65 1.2× 15 417
Samuel Lessard United States 7 651 1.1× 201 0.7× 24 0.4× 5 0.1× 32 0.6× 19 911
Alexandria M. Doerfler United States 7 291 0.5× 132 0.4× 26 0.4× 6 0.1× 66 1.2× 8 367
Valérie Risson France 11 360 0.6× 131 0.4× 18 0.3× 3 0.1× 40 0.7× 14 583
Kathleen Meyer United States 11 313 0.5× 219 0.7× 18 0.3× 4 0.1× 21 0.4× 23 469
Ricardo Dolmetsch Switzerland 2 615 1.1× 198 0.6× 64 1.0× 3 0.1× 24 0.4× 2 660
Sherry Koontz United States 11 377 0.7× 160 0.5× 28 0.4× 3 0.1× 19 0.4× 17 564

Countries citing papers authored by John White

Since Specialization
Citations

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

Fields of papers citing papers by John White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John White

This figure shows the co-authorship network connecting the top 25 collaborators of John White. A scholar is included among the top collaborators of John White 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 John White. John White 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
1.
Wang, Lili, Camilo Breton, Claude C. Warzecha, et al.. (2021). Long-term stable reduction of low-density lipoprotein in nonhuman primates following in vivo genome editing of PCSK9. Molecular Therapy. 29(6). 2019–2029. 48 indexed citations
2.
Wang, Lili, Yang Yang, Camilo Breton, et al.. (2020). A mutation-independent CRISPR-Cas9–mediated gene targeting approach to treat a murine model of ornithine transcarbamylase deficiency. Science Advances. 6(7). eaax5701–eaax5701. 53 indexed citations
3.
Wang, Lili, Yang Yang, Camilo Breton, et al.. (2019). CRISPR/Cas9-mediated in vivo gene targeting corrects hemostasis in newborn and adult factor IX–knockout mice. Blood. 133(26). 2745–2752. 62 indexed citations
4.
Wang, Lili, Peter Bell, Hiroki Morizono, et al.. (2017). AAV gene therapy corrects OTC deficiency and prevents liver fibrosis in aged OTC-knock out heterozygous mice. Molecular Genetics and Metabolism. 120(4). 299–305. 38 indexed citations
5.
Bell, Peter, Lili Wang, Shu‐Jen Chen, et al.. (2016). Effects of Self-Complementarity, Codon Optimization, Transgene, and Dose on Liver Transduction with AAV8. Human Gene Therapy Methods. 27(6). 228–237. 21 indexed citations
6.
Yang, Yang, Lili Wang, Peter Bell, et al.. (2016). A dual AAV system enables the Cas9-mediated correction of a metabolic liver disease in newborn mice. Nature Biotechnology. 34(3). 334–338. 433 indexed citations breakdown →
7.
Wang, Lili, James M. Wilson, Roberto Calcedo, et al.. (2016). Strategies for Selection of AAV Vectors for Administration to Liver: Studies in Nonhuman Primates. Blood. 128(22). 2316–2316. 1 indexed citations
8.
Wang, Lili, Yang Yang, John White, et al.. (2016). Crispr/Cas9-Mediated In Vivo Gene Targeting Corrects Haemostasis in Newborn and Adult FIX-KO Mice. Blood. 128(22). 1174–1174. 3 indexed citations
9.
White, John. (1963). Nebraska—The Records Management Prospect. The American Archivist. 26(3). 365–369.

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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