Tae-Ho Hwang

104 total papers · 4.6k total citations
70 papers, 3.5k citations indexed

About

Tae-Ho Hwang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Tae-Ho Hwang has authored 70 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 31 papers in Genetics and 20 papers in Oncology. Recurrent topics in Tae-Ho Hwang's work include Virus-based gene therapy research (30 papers), CAR-T cell therapy research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (14 papers). Tae-Ho Hwang is often cited by papers focused on Virus-based gene therapy research (30 papers), CAR-T cell therapy research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (14 papers). Tae-Ho Hwang collaborates with scholars based in South Korea, United States and Canada. Tae-Ho Hwang's co-authors include David H. Kirn, John C. Bell, Caroline J. Breitbach, Anne Moon, Ta‐Chiang Liu, Christine Hartmann, Lawrence Chan, Gérard Karsenty, Cory Brayton and Masaki Kato and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Tae-Ho Hwang

66 papers receiving 3.5k citations

Hit Papers

Cbfa1-independent decreas... 2002 2026 2010 2018 2002 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tae-Ho Hwang 1.9k 1.7k 1.6k 587 459 70 3.5k
Yumi Kanegae 1.9k 1.0× 3.6k 2.1× 1.2k 0.7× 767 1.3× 297 0.6× 94 5.9k
Robert S. Coffin 1.5k 0.8× 1.5k 0.9× 1.3k 0.8× 872 1.5× 251 0.5× 66 3.5k
Michael Kiefer 757 0.4× 4.1k 2.4× 1.1k 0.7× 1.3k 2.2× 211 0.5× 68 6.9k
Andrew Zloza 1.3k 0.7× 1.1k 0.7× 1.6k 1.0× 1.3k 2.1× 320 0.7× 83 3.4k
Stefan Kochanek 5.1k 2.6× 5.7k 3.4× 1.5k 0.9× 664 1.1× 233 0.5× 149 7.9k
Yaohe Wang 2.4k 1.2× 2.0k 1.2× 2.0k 1.3× 788 1.3× 698 1.5× 131 4.2k
Philip W. Zoltick 1.2k 0.6× 1.8k 1.1× 864 0.5× 450 0.8× 48 0.1× 69 3.9k
Mohammed Adam 1.5k 0.8× 3.5k 2.1× 471 0.3× 529 0.9× 82 0.2× 44 5.0k
Philip Ng 2.5k 1.3× 2.6k 1.5× 749 0.5× 335 0.6× 107 0.2× 94 3.8k
Felicia L. Graham 1.4k 0.7× 1.5k 0.9× 576 0.4× 449 0.8× 131 0.3× 43 3.2k

Countries citing papers authored by Tae-Ho Hwang

Since Specialization
Citations

This map shows the geographic impact of Tae-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 Tae-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 Tae-Ho Hwang more than expected).

Fields of papers citing papers by Tae-Ho Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-Ho Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Ho Hwang. A scholar is included among the top collaborators of Tae-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 Tae-Ho Hwang. Tae-Ho 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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