Kwan Hong

48 total papers · 689 total citations
35 papers, 418 citations indexed

About

Kwan Hong is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Kwan Hong has authored 35 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 8 papers in Modeling and Simulation and 7 papers in Infectious Diseases. Recurrent topics in Kwan Hong's work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (6 papers) and Vaccine Coverage and Hesitancy (4 papers). Kwan Hong is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (6 papers) and Vaccine Coverage and Hesitancy (4 papers). Kwan Hong collaborates with scholars based in South Korea, United States and China. Kwan Hong's co-authors include Byung Chul Chun, Jeehyun Kim, Kyung Ju Lee, Juneyoung Lee, Jimi Choi, Yujin Jeong, Dae‐Sung Yoo, Young June Choe, Soojin Kim and Jieun Jang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Epidemiology.

In The Last Decade

Kwan Hong

34 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Kwan Hong 177 86 73 68 52 35 418
Xingyi Geng 113 0.6× 134 1.6× 63 0.9× 89 1.3× 21 0.4× 25 458
Cristina Carias 204 1.2× 158 1.8× 41 0.6× 79 1.2× 19 0.4× 41 493
Luigi Vezzosi 177 1.0× 117 1.4× 102 1.4× 14 0.2× 29 0.6× 42 481
Aquiles R. Henríquez-Trujillo 47 0.3× 125 1.5× 34 0.5× 68 1.0× 33 0.6× 37 412
Vittoria Offeddu 113 0.6× 87 1.0× 71 1.0× 58 0.9× 18 0.3× 18 456
Anna Llupià 240 1.4× 97 1.1× 33 0.5× 54 0.8× 50 1.0× 26 446
Yu‐Lin Tai 85 0.5× 207 2.4× 30 0.4× 72 1.1× 39 0.8× 17 453
Daniel S. Farrar 157 0.9× 108 1.3× 24 0.3× 44 0.6× 16 0.3× 27 377
Rivka Sheffer 141 0.8× 207 2.4× 68 0.9× 69 1.0× 10 0.2× 35 396
Sammy Khagayi 217 1.2× 135 1.6× 125 1.7× 32 0.5× 10 0.2× 34 494

Countries citing papers authored by Kwan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Kwan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Kwan Hong. A scholar is included among the top collaborators of Kwan Hong 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 Kwan Hong. Kwan Hong 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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2026