Ramu Gopalappa

1.4k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Ramu Gopalappa is a scholar working on Molecular Biology, Business and International Management and Genetics. According to data from OpenAlex, Ramu Gopalappa has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Business and International Management and 2 papers in Genetics. Recurrent topics in Ramu Gopalappa's work include CRISPR and Genetic Engineering (8 papers), RNA regulation and disease (3 papers) and Innovation and Socioeconomic Development (2 papers). Ramu Gopalappa is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), RNA regulation and disease (3 papers) and Innovation and Socioeconomic Development (2 papers). Ramu Gopalappa collaborates with scholars based in South Korea, United States and Puerto Rico. Ramu Gopalappa's co-authors include Seokjoong Kim, Suresh Ramakrishna, Jagadish Beloor, Sang‐Kyung Lee, Bharathi Suresh, Sojung Kim, Seung Woo Cho, Jin‐Soo Kim, Daesik Kim and Goosang Yu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genome Research.

In The Last Decade

Ramu Gopalappa

9 papers receiving 1.0k citations

Hit Papers

Gene disruption by cell-penetrating peptide-mediated deli... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramu Gopalappa South Korea 7 951 335 89 57 55 9 1.0k
Eirik A. Moreb United States 10 1.1k 1.2× 369 1.1× 110 1.2× 43 0.8× 67 1.2× 15 1.2k
Joshua B. Black United States 8 887 0.9× 182 0.5× 42 0.5× 46 0.8× 60 1.1× 9 964
Hiromi Miura Japan 16 833 0.9× 423 1.3× 32 0.4× 54 0.9× 55 1.0× 44 1.0k
Xinde Hu China 12 877 0.9× 270 0.8× 72 0.8× 28 0.5× 37 0.7× 14 967
Nicola A. Kearns United States 7 798 0.8× 135 0.4× 69 0.8× 48 0.8× 82 1.5× 10 858
Jin Jea Sung South Korea 8 461 0.5× 174 0.5× 73 0.8× 62 1.1× 42 0.8× 13 513
Shaun Teo United States 4 686 0.7× 170 0.5× 42 0.5× 31 0.5× 93 1.7× 4 784
Wenqin Ying China 16 1.2k 1.3× 384 1.1× 113 1.3× 37 0.6× 64 1.2× 17 1.3k
Adrienn Volak United States 9 759 0.8× 337 1.0× 30 0.3× 51 0.9× 42 0.8× 9 954
Daniel Benjamin Dadon United States 6 1.9k 2.0× 404 1.2× 94 1.1× 64 1.1× 128 2.3× 7 2.0k

Countries citing papers authored by Ramu Gopalappa

Since Specialization
Citations

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

Fields of papers citing papers by Ramu Gopalappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramu Gopalappa

This figure shows the co-authorship network connecting the top 25 collaborators of Ramu Gopalappa. A scholar is included among the top collaborators of Ramu Gopalappa 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 Ramu Gopalappa. Ramu Gopalappa 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.
Gopalappa, Ramu, Min Young Lee, Jong Geol Lee, et al.. (2024). In vivo adenine base editing rescues adrenoleukodystrophy in a humanized mouse model. Molecular Therapy. 32(7). 2190–2206. 3 indexed citations
2.
Rim, John Hoon, Ramu Gopalappa, Kyu Min Kim, et al.. (2022). In vivo outer hair cell gene editing ameliorates progressive hearing loss in dominant-negative Kcnq4 murine model. Theranostics. 12(5). 2465–2482. 42 indexed citations
3.
Jo, Dong Hyun, Chang Sik Cho, Jung Hwa Seo, et al.. (2021). Application of prime editing to the correction of mutations and phenotypes in adult mice with liver and eye diseases. Nature Biomedical Engineering. 6(2). 181–194. 143 indexed citations
4.
Gopalappa, Ramu, Hongjae Sunwoo, Suresh Ramakrishna, et al.. (2019). En blocand segmental deletions of humanXISTreveal X chromosome inactivation-involving RNA elements. Nucleic Acids Research. 47(8). 3875–3887. 19 indexed citations
5.
Gopalappa, Ramu, et al.. (2018). Efficient genome editing by FACS enrichment of paired D10A Cas9 nickases coupled with fluorescent proteins. Archives of Pharmacal Research. 41(9). 911–920. 3 indexed citations
6.
Gopalappa, Ramu, Bharathi Suresh, Suresh Ramakrishna, & Seokjoong Kim. (2018). Paired D10A Cas9 nickases are sometimes more efficient than individual nucleases for gene disruption. Nucleic Acids Research. 46(12). e71–e71. 65 indexed citations
7.
Lim, Jae Seok, Ramu Gopalappa, Se Hoon Kim, et al.. (2017). Somatic Mutations in TSC1 and TSC2 Cause Focal Cortical Dysplasia. The American Journal of Human Genetics. 100(3). 454–472. 136 indexed citations
8.
Ramakrishna, Suresh, et al.. (2014). Gene disruption by cell-penetrating peptide-mediated delivery of Cas9 protein and guide RNA. Genome Research. 24(6). 1020–1027. 526 indexed citations breakdown →
9.
Ramakrishna, Suresh, Seung Woo Cho, Sojung Kim, et al.. (2014). Surrogate reporter-based enrichment of cells containing RNA-guided Cas9 nuclease-induced mutations. Nature Communications. 5(1). 3378–3378. 100 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026