Sanghoon Kwon

24 total papers · 945 total citations
20 papers, 728 citations indexed

About

Sanghoon Kwon is a scholar working on Immunology, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Sanghoon Kwon has authored 20 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 11 papers in Molecular Biology and 3 papers in Obstetrics and Gynecology. Recurrent topics in Sanghoon Kwon's work include Immunotherapy and Immune Responses (10 papers), Immune Response and Inflammation (9 papers) and vaccines and immunoinformatics approaches (3 papers). Sanghoon Kwon is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Immune Response and Inflammation (9 papers) and vaccines and immunoinformatics approaches (3 papers). Sanghoon Kwon collaborates with scholars based in South Korea and United States. Sanghoon Kwon's co-authors include Hyung‐Joo Kwon, Dongbum Kim, Younghee Lee, Jongsook Kim Kemper, Doo‐Sik Kim, Suzanne E. Wardell, Patrick M. Sullivan, Sisi He, Erik R. Nelson and Donald P. McDonnell and has published in prestigious journals such as Nature Communications, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Sanghoon Kwon

20 papers receiving 724 citations

Hit Papers

The cholesterol metabolit... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Sanghoon Kwon 322 266 210 159 159 20 728
Keqing Qian 318 1.0× 239 0.9× 262 1.2× 76 0.5× 190 1.2× 26 790
Purificación Hernández-Vargas 259 0.8× 440 1.7× 128 0.6× 111 0.7× 148 0.9× 15 876
Rajesh Kumar 281 0.9× 195 0.7× 84 0.4× 99 0.6× 183 1.2× 42 763
C Gasparini 251 0.8× 303 1.1× 171 0.8× 84 0.5× 130 0.8× 25 846
Hisataka Shikama 327 1.0× 98 0.4× 155 0.7× 146 0.9× 121 0.8× 28 805
Toshie Nata 345 1.1× 131 0.5× 170 0.8× 132 0.8× 125 0.8× 24 759
Cong Liang 572 1.8× 93 0.3× 213 1.0× 60 0.4× 173 1.1× 29 839
Danny Yu 395 1.2× 99 0.4× 136 0.6× 59 0.4× 119 0.7× 34 752
Xiuyan Yu 403 1.3× 259 1.0× 204 1.0× 55 0.3× 275 1.7× 35 896
Francesco Mariani 310 1.0× 187 0.7× 144 0.7× 62 0.4× 178 1.1× 24 790

Countries citing papers authored by Sanghoon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sanghoon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanghoon Kwon. 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 Sanghoon Kwon. The network helps show where Sanghoon Kwon may publish in the future.

Co-authorship network of co-authors of Sanghoon Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghoon Kwon. A scholar is included among the top collaborators of Sanghoon Kwon 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 Sanghoon Kwon. Sanghoon Kwon 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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