Johnny H. Hu

4.1k total citations · 3 hit papers
9 papers, 3.1k citations indexed

About

Johnny H. Hu is a scholar working on Molecular Biology, Genetics and Business and International Management. According to data from OpenAlex, Johnny H. Hu has authored 9 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Business and International Management. Recurrent topics in Johnny H. Hu's work include CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Johnny H. Hu is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Johnny H. Hu collaborates with scholars based in United States, China and United Kingdom. Johnny H. Hu's co-authors include David R. Liu, Weixin Tang, David B. Thompson, Zheng‐Yi Chen, Yilai Shu, Xue Gao, John A. Zuris, J. Keith Joung, John P. Guilinger and Morgan L. Maeder and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Johnny H. Hu

9 papers receiving 3.1k citations

Hit Papers

Cationic lipid-mediated delivery of proteins enables effi... 2014 2026 2018 2022 2014 2018 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johnny H. Hu United States 9 2.9k 660 297 226 197 9 3.1k
David B. Thompson United States 22 3.2k 1.1× 697 1.1× 316 1.1× 192 0.8× 198 1.0× 26 3.8k
John P. Guilinger United States 8 3.2k 1.1× 714 1.1× 399 1.3× 298 1.3× 44 0.2× 8 3.4k
Linyu Shi China 24 3.9k 1.3× 1.1k 1.7× 221 0.7× 224 1.0× 45 0.2× 56 4.4k
Natalia Gomez‐Ospina United States 18 1.9k 0.7× 587 0.9× 144 0.5× 219 1.0× 47 0.2× 27 2.3k
Wei-Hsi Yeh United States 10 1.7k 0.6× 566 0.9× 128 0.4× 92 0.4× 208 1.1× 11 1.8k
Irina Ankoudinova United States 13 2.1k 0.7× 556 0.8× 106 0.4× 285 1.3× 24 0.1× 16 2.5k
Jessie R. Davis United States 10 4.0k 1.4× 1.3k 2.0× 351 1.2× 586 2.6× 19 0.1× 12 4.3k
Peyton B. Randolph United States 7 4.1k 1.4× 1.2k 1.9× 366 1.2× 664 2.9× 14 0.1× 7 4.4k
David I. Bryson United States 8 3.1k 1.1× 808 1.2× 257 0.9× 427 1.9× 10 0.1× 10 3.2k
Gang Bao United States 9 4.1k 1.4× 895 1.4× 406 1.4× 520 2.3× 12 0.1× 11 4.5k

Countries citing papers authored by Johnny H. Hu

Since Specialization
Citations

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

Fields of papers citing papers by Johnny H. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnny H. Hu. 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 Johnny H. Hu. The network helps show where Johnny H. Hu may publish in the future.

Co-authorship network of co-authors of Johnny H. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Johnny H. Hu. A scholar is included among the top collaborators of Johnny H. Hu 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 Johnny H. Hu. Johnny H. Hu 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.
Tao, Yong, Verónica Lamas, Wan Du, et al.. (2023). Treatment of monogenic and digenic dominant genetic hearing loss by CRISPR-Cas9 ribonucleoprotein delivery in vivo. Nature Communications. 14(1). 4928–4928. 29 indexed citations
2.
Hu, Johnny H., Shannon M. Miller, Maarten H. Geurts, et al.. (2018). Evolved Cas9 variants with broad PAM compatibility and high DNA specificity. Nature. 556(7699). 57–63. 1155 indexed citations breakdown →
3.
Sharma, Arun, Christopher N. Toepfer, Tarsha Ward, et al.. (2018). CRISPR/Cas9‐Mediated Fluorescent Tagging of Endogenous Proteins in Human Pluripotent Stem Cells. Current Protocols in Human Genetics. 96(1). 21.11.1–21.11.20. 47 indexed citations
4.
Gao, Xue, Yong Tao, Verónica Lamas, et al.. (2017). Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents. Nature. 553(7687). 217–221. 410 indexed citations breakdown →
5.
Tang, Weixin, Johnny H. Hu, & David R. Liu. (2017). Aptazyme-embedded guide RNAs enable ligand-responsive genome editing and transcriptional activation. Nature Communications. 8(1). 15939–15939. 170 indexed citations
6.
Thompson, David B., et al.. (2016). A programmable Cas9-serine recombinase fusion protein that operates on DNA sequences in mammalian cells. Nucleic Acids Research. 44(20). gkw707–gkw707. 45 indexed citations
7.
Hu, Johnny H., et al.. (2016). Chemical Biology Approaches to Genome Editing: Understanding, Controlling, and Delivering Programmable Nucleases. Cell chemical biology. 23(1). 57–73. 46 indexed citations
8.
Zuris, John A., David B. Thompson, Yilai Shu, et al.. (2014). Cationic lipid-mediated delivery of proteins enables efficient protein-based genome editing in vitro and in vivo. Nature Biotechnology. 33(1). 73–80. 1160 indexed citations breakdown →
9.
Pakotiprapha, Danaya, Martin A. Samuels, Koning Shen, Johnny H. Hu, & David Jeruzalmi. (2012). Structure and mechanism of the UvrA–UvrB DNA damage sensor. Nature Structural & Molecular Biology. 19(3). 291–298. 67 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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