Dong‐Sook Kim

106 total papers · 1.6k total citations
77 papers, 1.1k citations indexed

About

Dong‐Sook Kim is a scholar working on Economics and Econometrics, Epidemiology and Applied Microbiology and Biotechnology. According to data from OpenAlex, Dong‐Sook Kim has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 16 papers in Epidemiology and 14 papers in Applied Microbiology and Biotechnology. Recurrent topics in Dong‐Sook Kim's work include Health Systems, Economic Evaluations, Quality of Life (21 papers), Pharmaceutical Economics and Policy (14 papers) and Antibiotic Use and Resistance (14 papers). Dong‐Sook Kim is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (21 papers), Pharmaceutical Economics and Policy (14 papers) and Antibiotic Use and Resistance (14 papers). Dong‐Sook Kim collaborates with scholars based in South Korea, United States and Singapore. Dong‐Sook Kim's co-authors include Jee-Ae Kim, Log Young Kim, Seok‐Jun Yoon, SeungJin Bae, Euna Han, Hyeong Sik Ahn, Hyun Jung Kim, Nayoung Kim, Yu Kyung Cho and Ki‐Nam Shim and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Dong‐Sook Kim

67 papers receiving 1.1k citations

Hit Papers

Towards Actualizing the V... 2017 2026 2020 2023 2017 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
Dong‐Sook Kim 256 195 151 128 122 77 1.1k
J. Michael Paterson 508 2.0× 236 1.2× 142 0.9× 160 1.3× 61 0.5× 48 1.5k
Max Brosa 197 0.8× 311 1.6× 138 0.9× 246 1.9× 55 0.5× 91 1.2k
Mario Braga 307 1.2× 177 0.9× 148 1.0× 141 1.1× 47 0.4× 37 1.3k
Kueiyu Joshua Lin 232 0.9× 195 1.0× 128 0.8× 204 1.6× 73 0.6× 82 1.4k
Angela Tong 201 0.8× 142 0.7× 147 1.0× 268 2.1× 92 0.8× 75 1.4k
Richard Wyss 195 0.8× 188 1.0× 334 2.2× 124 1.0× 48 0.4× 62 1.5k
Elisa Martín‐Merino 179 0.7× 166 0.9× 53 0.4× 161 1.3× 46 0.4× 71 1.2k
Andrew Cagan 249 1.0× 485 2.5× 75 0.5× 83 0.6× 72 0.6× 47 1.5k
Dong Wook Kim 152 0.6× 214 1.1× 97 0.6× 214 1.7× 108 0.9× 92 1.5k
Fe‐Lin Lin Wu 177 0.7× 180 0.9× 62 0.4× 130 1.0× 73 0.6× 71 1.3k

Countries citing papers authored by Dong‐Sook Kim

Since Specialization
Citations

This map shows the geographic impact of Dong‐Sook Kim'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 Dong‐Sook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Sook Kim more than expected).

Fields of papers citing papers by Dong‐Sook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Sook Kim. 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 Dong‐Sook Kim. The network helps show where Dong‐Sook Kim may publish in the future.

Co-authorship network of co-authors of Dong‐Sook Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Sook Kim. A scholar is included among the top collaborators of Dong‐Sook Kim 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 Dong‐Sook Kim. Dong‐Sook Kim 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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