Hwa–Young Son

475 total papers · 8.9k total citations
314 papers, 7.0k citations indexed

About

Hwa–Young Son is a scholar working on Molecular Biology, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Hwa–Young Son has authored 314 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 51 papers in Surgery and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Hwa–Young Son's work include 3D IC and TSV technologies (38 papers), Electronic Packaging and Soldering Technologies (32 papers) and Head and Neck Cancer Studies (27 papers). Hwa–Young Son is often cited by papers focused on 3D IC and TSV technologies (38 papers), Electronic Packaging and Soldering Technologies (32 papers) and Head and Neck Cancer Studies (27 papers). Hwa–Young Son collaborates with scholars based in South Korea, United States and Japan. Hwa–Young Son's co-authors include Clarence T. Sasaki, Bong Yun, Moo Il Kang, Kun‐Ho Yoon, Daniel S. Kapp, Kwang Woo Lee, Bruce G. Haffty, Soon Jib Yoo, Sung Koo Kang and Rose J. Papac and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Hwa–Young Son

293 papers receiving 6.8k citations

Hit Papers

Selective β-Cell Loss and... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hwa–Young Son 1.6k 1.5k 947 898 720 314 7.0k
Jiandong Li 1.2k 0.8× 3.6k 2.4× 265 0.3× 1.1k 1.2× 213 0.3× 330 9.8k
Sang‐Hyun Kim 1.1k 0.7× 1.2k 0.8× 341 0.4× 384 0.4× 249 0.3× 396 7.3k
Jin Hwan Kim 701 0.4× 2.0k 1.3× 202 0.2× 530 0.6× 174 0.2× 237 6.1k
Dong Wook Kim 1.9k 1.2× 1.0k 0.7× 2.1k 2.2× 737 0.8× 145 0.2× 210 5.3k
Hiroshi Yoshida 3.6k 2.3× 2.6k 1.7× 339 0.4× 1.9k 2.1× 122 0.2× 869 14.3k
Tae Hyun Kim 3.5k 2.2× 1.4k 1.0× 517 0.5× 3.3k 3.7× 125 0.2× 451 10.8k
He Wang 1.3k 0.8× 3.9k 2.6× 293 0.3× 1.1k 1.2× 90 0.1× 311 8.4k
Longjiang Li 1.1k 0.7× 1.8k 1.2× 69 0.1× 1.1k 1.3× 186 0.3× 343 5.6k
Li Liu 1.5k 0.9× 2.4k 1.6× 790 0.8× 1.7k 1.9× 52 0.1× 506 9.0k
Takashi Fujii 1.3k 0.8× 658 0.4× 343 0.4× 439 0.5× 77 0.1× 283 4.3k

Countries citing papers authored by Hwa–Young Son

Since Specialization
Citations

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

Fields of papers citing papers by Hwa–Young Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwa–Young Son. 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 Hwa–Young Son. The network helps show where Hwa–Young Son may publish in the future.

Co-authorship network of co-authors of Hwa–Young Son

This figure shows the co-authorship network connecting the top 25 collaborators of Hwa–Young Son. A scholar is included among the top collaborators of Hwa–Young Son 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 Hwa–Young Son. Hwa–Young Son 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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