In-Sook Kwun

12 total papers · 1.1k total citations
10 papers, 908 citations indexed

About

In-Sook Kwun is a scholar working on Nutrition and Dietetics, Molecular Biology and Epidemiology. According to data from OpenAlex, In-Sook Kwun has authored 10 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in In-Sook Kwun's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Regulation of Appetite and Obesity (2 papers) and Bone Metabolism and Diseases (2 papers). In-Sook Kwun is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Regulation of Appetite and Obesity (2 papers) and Bone Metabolism and Diseases (2 papers). In-Sook Kwun collaborates with scholars based in South Korea, United States and Taiwan. In-Sook Kwun's co-authors include Chwan‐Li Shen, Huanbiao Mo, Shu Wang, Lixia Chen, Priyanka Bapat, Rui Su, Anuradha A. Shastri, Naïma Moustaïd‐Moussa, Yangha Kim and Chong-Suk Kwon and has published in prestigious journals such as British Journal Of Nutrition, The Journal of Nutritional Biochemistry and Current Drug Targets.

In The Last Decade

In-Sook Kwun

10 papers receiving 884 citations

Hit Papers

Novel insights of dietary... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
In-Sook Kwun 260 248 230 180 158 10 908
Anuradha A. Shastri 246 0.9× 263 1.1× 212 0.9× 168 0.9× 135 0.9× 10 830
Priyanka Bapat 232 0.9× 212 0.9× 214 0.9× 167 0.9× 128 0.8× 6 752
Noorafza Q. Khan 247 0.9× 288 1.2× 263 1.1× 79 0.4× 156 1.0× 17 930
Leonor Rivera 363 1.4× 187 0.8× 177 0.8× 270 1.5× 87 0.6× 11 960
Rocío Morón 369 1.4× 253 1.0× 180 0.8× 221 1.2× 78 0.5× 25 971
Manuel Gonzálvez 264 1.0× 256 1.0× 251 1.1× 182 1.0× 139 0.9× 13 1.0k
Anne W. Harmon 174 0.7× 440 1.8× 109 0.5× 173 1.0× 111 0.7× 13 986
Yukari Akimoto 178 0.7× 279 1.1× 241 1.0× 186 1.0× 57 0.4× 11 846
Koichi Misawa 190 0.7× 255 1.0× 126 0.5× 106 0.6× 125 0.8× 16 735
Itziar Eseberri 222 0.9× 215 0.9× 143 0.6× 162 0.9× 105 0.7× 26 759

Countries citing papers authored by In-Sook Kwun

Since Specialization
Citations

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

Fields of papers citing papers by In-Sook Kwun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Sook Kwun. 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 In-Sook Kwun. The network helps show where In-Sook Kwun may publish in the future.

Co-authorship network of co-authors of In-Sook Kwun

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