Sung-Ung Kang

48 total papers · 2.9k total citations
22 papers, 1.1k citations indexed

About

Sung-Ung Kang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sung-Ung Kang has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Sung-Ung Kang's work include Parkinson's Disease Mechanisms and Treatments (6 papers), CRISPR and Genetic Engineering (3 papers) and Nuclear Receptors and Signaling (3 papers). Sung-Ung Kang is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), CRISPR and Genetic Engineering (3 papers) and Nuclear Receptors and Signaling (3 papers). Sung-Ung Kang collaborates with scholars based in United States, South Korea and Austria. Sung-Ung Kang's co-authors include Ted M. Dawson, Valina L. Dawson, Haisong Jiang, Yunjong Lee, Byoung Dae Lee, Senthilkumar S. Karuppagounder, Ho Chul Kang, Joo‐Ho Shin, Yun-Il Lee and Gert Lübec and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sung-Ung Kang

22 papers receiving 1.1k citations

Hit Papers

Neuronal NLRP3 is a parki... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Sung-Ung Kang 580 317 225 216 198 22 1.1k
Ran Tao 589 1.0× 471 1.5× 188 0.8× 501 2.3× 185 0.9× 14 1.2k
Kun Jin 813 1.4× 315 1.0× 409 1.8× 157 0.7× 102 0.5× 19 1.5k
Yoshito Nagano 540 0.9× 415 1.3× 212 0.9× 324 1.5× 233 1.2× 29 1.1k
Nicola Rizzuto 371 0.6× 498 1.6× 252 1.1× 85 0.4× 140 0.7× 31 1.2k
J Koizumi 328 0.6× 215 0.7× 338 1.5× 177 0.8× 152 0.8× 19 1.2k
Kristina Klupsch 835 1.4× 612 1.9× 318 1.4× 306 1.4× 228 1.2× 14 1.3k
Masako M. Bilak 664 1.1× 198 0.6× 375 1.7× 213 1.0× 165 0.8× 26 1.3k
Birger Victor Dieriks 503 0.9× 322 1.0× 170 0.8× 66 0.3× 280 1.4× 42 1.1k
Kenneth Haglid 682 1.2× 261 0.8× 197 0.9× 145 0.7× 134 0.7× 44 1.3k
Åsa Sandelius 332 0.6× 435 1.4× 230 1.0× 89 0.4× 222 1.1× 18 1.1k

Countries citing papers authored by Sung-Ung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Ung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Ung Kang. 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 Sung-Ung Kang. The network helps show where Sung-Ung Kang may publish in the future.

Co-authorship network of co-authors of Sung-Ung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Ung Kang. A scholar is included among the top collaborators of Sung-Ung Kang 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 Sung-Ung Kang. Sung-Ung Kang 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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