Chang-Soo Seong

49 total papers · 758 total citations
19 papers, 582 citations indexed

About

Chang-Soo Seong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Chang-Soo Seong has authored 19 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Chang-Soo Seong's work include Neurobiology and Insect Physiology Research (4 papers), HIV Research and Treatment (2 papers) and HIV-related health complications and treatments (2 papers). Chang-Soo Seong is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), HIV Research and Treatment (2 papers) and HIV-related health complications and treatments (2 papers). Chang-Soo Seong collaborates with scholars based in United States and South Korea. Chang-Soo Seong's co-authors include Kyung‐An Han, Hyun-Gwan Lee, Young-Cho Kim, Ronald L. Davis, M Körbling, Paolo Anderlini, Yang O. Huh, Richard E. Champlin, Donna Przepiorka and Manuel Llano and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Chang-Soo Seong

19 papers receiving 565 citations

Author Peers

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

Author Last Decade Papers Cites
Chang-Soo Seong 226 127 125 104 94 19 582
Dalton Wang 119 0.5× 269 2.1× 57 0.5× 27 0.3× 47 0.5× 34 556
Kamal Bharucha 179 0.8× 102 0.8× 73 0.6× 74 0.7× 19 0.2× 23 497
Johanna S. Rees 133 0.6× 245 1.9× 62 0.5× 40 0.4× 19 0.2× 24 577
Betty I. Tarnowski 41 0.2× 292 2.3× 60 0.5× 87 0.8× 35 0.4× 23 680
Christian Machacek 207 0.9× 211 1.7× 128 1.0× 128 1.2× 109 1.2× 11 535
Henrietta Margolis‐Nunno 39 0.2× 109 0.9× 107 0.9× 33 0.3× 34 0.4× 21 565
Isabelle Guénal 61 0.3× 422 3.3× 52 0.4× 130 1.3× 14 0.1× 31 640
Kazutaka Akagi 118 0.5× 216 1.7× 58 0.5× 87 0.8× 28 0.3× 23 584
Ko‐ichi Homma 173 0.8× 277 2.2× 48 0.4× 249 2.4× 19 0.2× 25 661
Bing Wu 170 0.8× 345 2.7× 54 0.4× 118 1.1× 42 0.4× 22 664

Countries citing papers authored by Chang-Soo Seong

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Soo Seong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Soo Seong. 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 Chang-Soo Seong. The network helps show where Chang-Soo Seong may publish in the future.

Co-authorship network of co-authors of Chang-Soo Seong

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Soo Seong. A scholar is included among the top collaborators of Chang-Soo Seong 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 Chang-Soo Seong. Chang-Soo Seong 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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