Tony P. Huang

1.9k total citations · 3 hit papers
11 papers, 1.3k citations indexed

About

Tony P. Huang is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tony P. Huang has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tony P. Huang's work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers) and RNA regulation and disease (4 papers). Tony P. Huang is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers) and RNA regulation and disease (4 papers). Tony P. Huang collaborates with scholars based in United States, Canada and South Korea. Tony P. Huang's co-authors include David R. Liu, Gregory A. Newby, Shannon M. Miller, Aditya Raguram, Mandana Arbab, Tina Wang, Peyton B. Randolph, Max W. Shen, Żaneta Matuszek and Holly A. Rees and has published in prestigious journals such as Nature Biotechnology, Nature Protocols and Nature Chemical Biology.

In The Last Decade

Tony P. Huang

11 papers receiving 1.2k citations

Hit 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.

Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity

2022 156 citations Monica E. Neugebauer, Alvin Hsu et al. Nature Biotechnology profile →
CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA

2022 131 citations Beverly Mok, Anna V. Kotrys et al. Nature Biotechnology profile →
Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors

2022 117 citations Jessie R. Davis, Xiao Wang et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tony P. Huang United States	11	1.2k	342	95	87	64	11	1.3k
Tanglong Yuan China	9	1.1k 0.9×	299 0.9×	114 1.2×	104 1.2×	70 1.1×	13	1.1k
Aamir Mir United States	15	1.2k 1.0×	294 0.9×	69 0.7×	143 1.6×	79 1.2×	18	1.2k
Jason M. Gehrke United States	6	973 0.8×	320 0.9×	98 1.0×	80 0.9×	49 0.8×	9	1.0k
Jose Malagon-Lopez United States	4	1.0k 0.9×	246 0.7×	107 1.1×	144 1.7×	45 0.7×	5	1.1k
Gianluca Petris Italy	17	857 0.7×	183 0.5×	52 0.5×	75 0.9×	57 0.9×	23	1.0k
Ronghao Zhou United States	6	1.3k 1.1×	382 1.1×	174 1.8×	143 1.6×	65 1.0×	8	1.3k
Julian Grünewald United States	9	1.6k 1.3×	454 1.3×	228 2.4×	163 1.9×	93 1.5×	11	1.6k
Beverly Mok United States	5	1.0k 0.9×	211 0.6×	95 1.0×	59 0.7×	31 0.5×	6	1.1k
Ruth E. Hanna United States	11	1.0k 0.8×	166 0.5×	60 0.6×	35 0.4×	43 0.7×	13	1.2k
Elliot O. Eton United States	4	659 0.5×	189 0.6×	85 0.9×	44 0.5×	27 0.4×	6	720

Countries citing papers authored by Tony P. Huang

Since Specialization

Citations

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

Fields of papers citing papers by Tony P. Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony P. Huang. 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 Tony P. Huang. The network helps show where Tony P. Huang may publish in the future.

Co-authorship network of co-authors of Tony P. Huang

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

All Works

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11 of 11 papers shown

Li, Haoxin, Jarrett R. Remsberg, Kristen E. DeMeester, et al.. (2023). Assigning functionality to cysteines by base editing of cancer dependency genes. Nature Chemical Biology. 19(11). 1320–1330. 30 indexed citations

Mok, Beverly, Anna V. Kotrys, Aditya Raguram, et al.. (2022). CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA. Nature Biotechnology. 40(9). 1378–1387. 131 indexed citations breakdown →

Davis, Jessie R., Xiao Wang, Isaac P. Witte, et al.. (2022). Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors. Nature Biomedical Engineering. 6(11). 1272–1283. 117 indexed citations breakdown →

Neugebauer, Monica E., Alvin Hsu, Mandana Arbab, et al.. (2022). Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nature Biotechnology. 41(5). 673–685. 156 indexed citations breakdown →

Huang, Tony P., Zachary Heins, Shannon M. Miller, et al.. (2022). High-throughput continuous evolution of compact Cas9 variants targeting single-nucleotide-pyrimidine PAMs. Nature Biotechnology. 41(1). 96–107. 68 indexed citations

Huang, Tony P., Gregory A. Newby, & David R. Liu. (2021). Precision genome editing using cytosine and adenine base editors in mammalian cells. Nature Protocols. 16(2). 1089–1128. 106 indexed citations

Miller, Shannon M., Tina Wang, Peyton B. Randolph, et al.. (2020). Continuous evolution of SpCas9 variants compatible with non-G PAMs. Nature Biotechnology. 38(4). 471–481. 257 indexed citations

Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells. Nature Biomedical Engineering. 4(1). 111–124. 106 indexed citations

Huang, Tony P., Kevin T. Zhao, Shannon M. Miller, et al.. (2019). Circularly permuted and PAM-modified Cas9 variants broaden the targeting scope of base editors. Nature Biotechnology. 37(6). 626–631. 184 indexed citations

10.

Wang, Tina, Ahmed H. Badran, Tony P. Huang, & David R. Liu. (2018). Continuous directed evolution of proteins with improved soluble expression. Nature Chemical Biology. 14(10). 972–980. 77 indexed citations

11.

Vo, Chau D, et al.. (2017). Repurposing Hsp90 inhibitors as antibiotics targeting histidine kinases. Bioorganic & Medicinal Chemistry Letters. 27(23). 5235–5244. 19 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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