Gue‐Ho Hwang

1.1k total citations
23 papers, 631 citations indexed

About

Gue‐Ho Hwang is a scholar working on Molecular Biology, Business and International Management and Genetics. According to data from OpenAlex, Gue‐Ho Hwang has authored 23 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Business and International Management and 7 papers in Genetics. Recurrent topics in Gue‐Ho Hwang's work include CRISPR and Genetic Engineering (21 papers), Innovation and Socioeconomic Development (7 papers) and Pluripotent Stem Cells Research (5 papers). Gue‐Ho Hwang is often cited by papers focused on CRISPR and Genetic Engineering (21 papers), Innovation and Socioeconomic Development (7 papers) and Pluripotent Stem Cells Research (5 papers). Gue‐Ho Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Gue‐Ho Hwang's co-authors include Sangsu Bae, Jin‐Soo Kim, Omer Habib, Kayeong Lim, Sung-Ah Hong, Jihyeon Yu, You Kyeong Jeong, Beomjong Song, Sung‐Hyun Kim and Roland Eils and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Gue‐Ho Hwang

23 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gue‐Ho Hwang South Korea 14 597 173 69 63 32 23 631
Friederike Knipping United States 5 582 1.0× 191 1.1× 72 1.0× 39 0.6× 29 0.9× 5 641
Elliot O. Eton United States 4 659 1.1× 189 1.1× 85 1.2× 44 0.7× 26 0.8× 6 720
Meirui An United States 5 824 1.4× 255 1.5× 88 1.3× 64 1.0× 46 1.4× 6 883
Euihwan Jeong South Korea 7 814 1.4× 168 1.0× 95 1.4× 95 1.5× 58 1.8× 11 874
Charles D. Yeh United States 8 641 1.1× 183 1.1× 67 1.0× 96 1.5× 70 2.2× 9 703
Kelcee A. Everette United States 5 736 1.2× 231 1.3× 91 1.3× 58 0.9× 43 1.3× 7 789
Ardalan Naseri United States 9 968 1.6× 171 1.0× 153 2.2× 65 1.0× 60 1.9× 23 1.1k
Alvin Hsu United States 6 691 1.2× 192 1.1× 91 1.3× 42 0.7× 37 1.2× 8 744
Mollie S. Schubert United States 6 559 0.9× 130 0.8× 58 0.8× 34 0.5× 19 0.6× 6 626

Countries citing papers authored by Gue‐Ho Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Gue‐Ho Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gue‐Ho Hwang. 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 Gue‐Ho Hwang. The network helps show where Gue‐Ho Hwang may publish in the future.

Co-authorship network of co-authors of Gue‐Ho Hwang

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

All Works

20 of 20 papers shown
1.
Lee, Seok‐Hoon, Gue‐Ho Hwang, You Kyeong Jeong, et al.. (2025). Bystander editing by adenine base editors impairs vision restoration in a mouse model of Leber congenital amaurosis. Molecular Therapy — Methods & Clinical Development. 33(2). 101461–101461. 1 indexed citations
2.
Hwang, Gue‐Ho, et al.. (2024). Genome-wide in-locus epitope tagging of Arabidopsis proteins using prime editors. BMB Reports. 57(1). 66–70. 3 indexed citations
3.
Kim, Yun-Jeong, et al.. (2024). Enhancing genome editing in hPSCs through dual inhibition of DNA damage response and repair pathways. Nature Communications. 15(1). 4002–4002. 5 indexed citations
4.
Hwang, Gue‐Ho, Seok‐Hoon Lee, Omer Habib, et al.. (2024). Large DNA deletions occur during DNA repair at 20-fold lower frequency for base editors and prime editors than for Cas9 nucleases. Nature Biomedical Engineering. 9(1). 79–92. 10 indexed citations
5.
Kim, Heon Seok, Susan M. Grimes, Tianqi Chen, et al.. (2023). Direct measurement of engineered cancer mutations and their transcriptional phenotypes in single cells. Nature Biotechnology. 42(8). 1254–1262. 15 indexed citations
6.
Hwang, Gue‐Ho & Sangsu Bae. (2023). Web-Based Computational Tools for Base Editors. Methods in molecular biology. 2606. 13–22. 3 indexed citations
7.
Kim, Minyoung, Woochang Hwang, Gue‐Ho Hwang, et al.. (2023). Extru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches. Genome biology. 24(1). 4–4. 18 indexed citations
8.
Hong, Sung-Ah, Song‐Ee Kim, Gue‐Ho Hwang, et al.. (2022). Therapeutic base editing and prime editing of COL7A1 mutations in recessive dystrophic epidermolysis bullosa. Molecular Therapy. 30(8). 2664–2679. 38 indexed citations
9.
Habib, Omer, et al.. (2021). Comprehensive analysis of prime editing outcomes in human embryonic stem cells. Nucleic Acids Research. 50(2). 1187–1197. 63 indexed citations
10.
Hwang, Gue‐Ho, You Kyeong Jeong, Omer Habib, et al.. (2021). PE-Designer and PE-Analyzer: web-based design and analysis tools for CRISPR prime editing. Nucleic Acids Research. 49(W1). W499–W504. 84 indexed citations
11.
Kim, Heon Seok, Gue‐Ho Hwang, Taegeun Bae, et al.. (2021). CReVIS-Seq: A highly accurate and multiplexable method for genome-wide mapping of lentiviral integration sites. Molecular Therapy — Methods & Clinical Development. 20. 792–800. 17 indexed citations
12.
Hong, Sung-Ah, Jung Hwa Seo, Jihyeon Yu, et al.. (2021). In vivo gene editing via homology-independent targeted integration for adrenoleukodystrophy treatment. Molecular Therapy. 30(1). 119–129. 13 indexed citations
13.
Song, Beomjong, et al.. (2021). Analysis of NHEJ-Based DNA Repair after CRISPR-Mediated DNA Cleavage. International Journal of Molecular Sciences. 22(12). 6397–6397. 37 indexed citations
14.
Jeong, You Kyeong, Seok‐Hoon Lee, Gue‐Ho Hwang, et al.. (2021). Adenine base editor engineering reduces editing of bystander cytosines. Nature Biotechnology. 39(11). 1426–1433. 66 indexed citations
15.
Hwang, Gue‐Ho & Sangsu Bae. (2020). Web-Based Base Editing Toolkits: BE-Designer and BE-Analyzer. Methods in molecular biology. 2189. 81–88. 13 indexed citations
16.
Hwang, Gue‐Ho, Jin‐Soo Kim, & Sangsu Bae. (2020). Web-Based CRISPR Toolkits: Cas-OFFinder, Cas-Designer, and Cas-Analyzer. Methods in molecular biology. 2162. 23–33. 15 indexed citations
17.
Hwang, Gue‐Ho, Jihyeon Yu, Kayeong Lim, et al.. (2020). CRISPR-sub: Analysis of DNA substitution mutations caused by CRISPR-Cas9 in human cells. Computational and Structural Biotechnology Journal. 18. 1686–1694. 13 indexed citations
18.
Jang, Hyeon‐Ki, Beomjong Song, Gue‐Ho Hwang, & Sangsu Bae. (2020). Current trends in gene recovery mediated by the CRISPR-Cas system. Experimental & Molecular Medicine. 52(7). 1016–1027. 36 indexed citations
19.
Lee, Choongil, Dong Hyun Jo, Gue‐Ho Hwang, et al.. (2019). CRISPR-Pass: Gene Rescue of Nonsense Mutations Using Adenine Base Editors. Molecular Therapy. 27(8). 1364–1371. 33 indexed citations
20.
Hwang, Gue‐Ho, Jeongbin Park, Kayeong Lim, et al.. (2018). Web-based design and analysis tools for CRISPR base editing. BMC Bioinformatics. 19(1). 542–542. 126 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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