Sang-Ging Ong

21 total papers · 4.3k total citations
15 papers, 1.4k citations indexed

About

Sang-Ging Ong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Sang-Ging Ong has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Sang-Ging Ong's work include Pluripotent Stem Cells Research (7 papers), Radiation Dose and Imaging (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sang-Ging Ong is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Radiation Dose and Imaging (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sang-Ging Ong collaborates with scholars based in United States, Japan and Singapore. Sang-Ging Ong's co-authors include Joseph C. Wu, Kazuki Kodo, Won Hee Lee, Antje Ebert, Daniel Bernstein, Haodi Wu, Russ B. Altman, Yong Fuga Li, Paul W. Burridge and Helen M. Blau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Sang-Ging Ong

15 papers receiving 1.4k citations

Hit Papers

Human induced pluripotent... 2016 2026 2019 2022 2016 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
Sang-Ging Ong 927 418 268 239 223 15 1.4k
W. Robb MacLellan 960 1.0× 493 1.2× 136 0.5× 385 1.6× 155 0.7× 25 1.7k
David T. Paik 1.1k 1.2× 325 0.8× 139 0.5× 293 1.2× 260 1.2× 26 1.7k
Thomas N. Sato 1.2k 1.3× 197 0.5× 271 1.0× 193 0.8× 105 0.5× 17 1.8k
Fabio Cerignoli 1.1k 1.2× 174 0.4× 232 0.9× 145 0.6× 197 0.9× 30 1.6k
Tomoya Kitani 930 1.0× 358 0.9× 79 0.3× 270 1.1× 238 1.1× 32 1.4k
Petra Korpisalo 901 1.0× 180 0.4× 260 1.0× 320 1.3× 113 0.5× 30 1.3k
David Kain 1.1k 1.2× 565 1.4× 129 0.5× 526 2.2× 125 0.6× 24 1.8k
Nicolò Salvarani 531 0.6× 465 1.1× 118 0.4× 169 0.7× 116 0.5× 23 1.1k
Mortimer Korf‐Klingebiel 754 0.8× 683 1.6× 170 0.6× 381 1.6× 61 0.3× 25 1.8k
Chantal Allamargot 1.0k 1.1× 245 0.6× 80 0.3× 134 0.6× 126 0.6× 26 1.6k

Countries citing papers authored by Sang-Ging Ong

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Ging Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Ging Ong. 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 Sang-Ging Ong. The network helps show where Sang-Ging Ong may publish in the future.

Co-authorship network of co-authors of Sang-Ging Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Ging Ong. A scholar is included among the top collaborators of Sang-Ging Ong 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 Sang-Ging Ong. Sang-Ging Ong 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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