Charles D. Yeh

1.1k total citations
9 papers, 703 citations indexed

About

Charles D. Yeh is a scholar working on Molecular Biology, Aging and Infectious Diseases. According to data from OpenAlex, Charles D. Yeh has authored 9 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Aging and 2 papers in Infectious Diseases. Recurrent topics in Charles D. Yeh's work include CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Lysosomal Storage Disorders Research (2 papers). Charles D. Yeh is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Lysosomal Storage Disorders Research (2 papers). Charles D. Yeh collaborates with scholars based in United States, Switzerland and Germany. Charles D. Yeh's co-authors include Jacob E. Corn, Chris D. Richardson, Stacia K. Wyman, Bruce R. Conklin, Beeke Wienert, Jonathan T. Vu, Marcello Maresca, Hannah L. Watry, Luke M. Judge and Michelle J. Porritt and has published in prestigious journals such as Science, Nature Biotechnology and Nature Cell Biology.

In The Last Decade

Charles D. Yeh

9 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles D. Yeh United States 8 641 183 96 70 67 9 703
Giulia Maule Italy 9 641 1.0× 143 0.8× 78 0.8× 48 0.7× 40 0.6× 13 725
Katelynn R. Kazane United States 7 552 0.9× 135 0.7× 64 0.7× 68 1.0× 51 0.8× 9 596
Ignazio Maggio Netherlands 12 943 1.5× 354 1.9× 104 1.1× 63 0.9× 79 1.2× 12 983
Su Bin Moon South Korea 7 623 1.0× 132 0.7× 87 0.9× 43 0.6× 79 1.2× 8 650
Aamir Mir United States 15 1.2k 1.8× 294 1.6× 143 1.5× 58 0.8× 69 1.0× 18 1.2k
Claudia Montagna Italy 7 581 0.9× 122 0.7× 75 0.8× 49 0.7× 34 0.5× 10 644
Tanglong Yuan China 9 1.1k 1.7× 299 1.6× 104 1.1× 49 0.7× 114 1.7× 13 1.1k
Hiroko Koike-Yusa United Kingdom 5 929 1.4× 163 0.9× 56 0.6× 59 0.8× 41 0.6× 5 1000
Kelcee A. Everette United States 5 736 1.1× 231 1.3× 58 0.6× 43 0.6× 91 1.4× 7 789
Ravi Alla United States 5 1.1k 1.8× 240 1.3× 93 1.0× 91 1.3× 94 1.4× 8 1.2k

Countries citing papers authored by Charles D. Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Charles D. Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles D. Yeh. 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 Charles D. Yeh. The network helps show where Charles D. Yeh may publish in the future.

Co-authorship network of co-authors of Charles D. Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Yeh. A scholar is included among the top collaborators of Charles D. Yeh 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 Charles D. Yeh. Charles D. Yeh 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.
Cullot, Grégoire, Eric J. Aird, Moritz F. Schlapansky, et al.. (2024). Genome editing with the HDR-enhancing DNA-PKcs inhibitor AZD7648 causes large-scale genomic alterations. Nature Biotechnology. 43(11). 1778–1782. 21 indexed citations
2.
Yi, Xiao, Weigang Ge, Peter Blattmann, et al.. (2022). Quantitative proteomic landscapes of primary and recurrent glioblastoma reveal a protumorigeneic role for FBXO2-dependent glioma-microenvironment interactions. Neuro-Oncology. 25(2). 290–302. 15 indexed citations
3.
Yeh, Charles D., Jeanette Beers, Chengyu Liu, et al.. (2021). Generation of an induced pluripotent stem cell line (TRNDi030-A) from a patient with Farber disease carrying a homozygous p. Y36C (c. 107 A>G) mutation in ASAH1. Stem Cell Research. 53. 102387–102387. 2 indexed citations
4.
Ojha, Durbadal, Clayton W. Winkler, Jacqueline M. Leung, et al.. (2021). Rottlerin inhibits La Crosse virus-induced encephalitis in mice and blocks release of replicating virus from the Golgi body in neurons. Nature Microbiology. 6(11). 1398–1409. 23 indexed citations
5.
Wienert, Beeke, Stacia K. Wyman, Charles D. Yeh, Bruce R. Conklin, & Jacob E. Corn. (2020). CRISPR off-target detection with DISCOVER-seq. Nature Protocols. 15(5). 1775–1799. 58 indexed citations
6.
Wienert, Beeke, Stacia K. Wyman, Chris D. Richardson, et al.. (2019). Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq. Science. 364(6437). 286–289. 284 indexed citations
7.
Yeh, Charles D., Chris D. Richardson, & Jacob E. Corn. (2019). Advances in genome editing through control of DNA repair pathways. Nature Cell Biology. 21(12). 1468–1478. 273 indexed citations
8.
Cubitt, Beatrice, Emilio Ortiz-Riaño, Yu-Jin Kim, et al.. (2019). A cell-based, infectious-free, platform to identify inhibitors of lassa virus ribonucleoprotein (vRNP) activity. Antiviral Research. 173. 104667–104667. 10 indexed citations
9.
Aguisanda, Francis, Charles D. Yeh, Catherine Z. Chen, et al.. (2017). Neural stem cells for disease modeling of Wolman disease and evaluation of therapeutics. Orphanet Journal of Rare Diseases. 12(1). 120–120. 17 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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