Ga‐Ram Hwang

23 total papers · 726 total citations
10 papers, 315 citations indexed

About

Ga‐Ram Hwang is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ga‐Ram Hwang has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ga‐Ram Hwang's work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ga‐Ram Hwang is often cited by papers focused on MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ga‐Ram Hwang collaborates with scholars based in United States and China. Ga‐Ram Hwang's co-authors include Bo Li, Raehum Paik, Sandra Ahrens, Alessandro Furlan, Miao He, Melody V. Wu, Haohong Li, Mario A. Penzo, Jessica Tollkühn and Z. Josh Huang and has published in prestigious journals such as Cell, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ga‐Ram Hwang

9 papers receiving 314 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ga‐Ram Hwang 135 134 109 49 43 10 315
Aaron Limoges 111 0.8× 134 1.0× 120 1.1× 84 1.7× 50 1.2× 11 323
Hong-Ping Huang 82 0.6× 136 1.0× 157 1.4× 23 0.5× 24 0.6× 14 338
Efstathios B. Papachristos 151 1.1× 74 0.6× 50 0.5× 20 0.4× 43 1.0× 10 339
Hannah Kim 131 1.0× 61 0.5× 97 0.9× 23 0.5× 43 1.0× 12 354
Dipesh Joshi 82 0.6× 122 0.9× 128 1.2× 16 0.3× 30 0.7× 5 322
Yixin Xiao 70 0.5× 144 1.1× 150 1.4× 13 0.3× 33 0.8× 12 350
Hong-Yan Geng 91 0.7× 163 1.2× 88 0.8× 8 0.2× 41 1.0× 13 337
Dani R. Smith 76 0.6× 128 1.0× 141 1.3× 16 0.3× 16 0.4× 16 357
Robert Luck 208 1.5× 189 1.4× 106 1.0× 9 0.2× 76 1.8× 5 363
Axelle Timmerman 51 0.4× 159 1.2× 87 0.8× 15 0.3× 36 0.8× 13 271

Countries citing papers authored by Ga‐Ram Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Ga‐Ram Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ga‐Ram Hwang

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

All Works

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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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2026