Kangchon Kim

754 total citations · 1 hit paper
5 papers, 484 citations indexed

About

Kangchon Kim is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kangchon Kim has authored 5 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Kangchon Kim's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and vaccines and immunoinformatics approaches (1 paper). Kangchon Kim is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and vaccines and immunoinformatics approaches (1 paper). Kangchon Kim collaborates with scholars based in United States. Kangchon Kim's co-authors include Sarah Cobey, Scott E. Hensley, Megan E. Gumina, Patrick C. Wilson, Andrea J. Sant, Seth J. Zost, Kaela Parkhouse, John J. Treanor, Angela R Branche and Madison E. Weirick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Kangchon Kim

5 papers receiving 463 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strains

2017 399 citations Seth J. Zost, Kaela Parkhouse et al. Proceedings of the National Academy of Sciences profile →

Peers

Kangchon Kim

EPIDE

ID

MB

IMMUN

ACS

Han-hua Fang China

Diane J. Post United States

Samuel Wilks United Kingdom

Andrey Rekstin Russia

Hatairat Lerdsamran Thailand

Marine L. B. Hillaire Netherlands

Monique Ambrose United States

Xavier Bouhy Canada

Svetlana Donina Russia

Björn F. Koel United Kingdom

Han-hua Fang China

Kangchon Kim

403 ×1.0

EPIDE

148 ×0.9

ID

51 ×0.5

MB

117 ×1.1

IMMUN

70 ×1.1

ACS

Citations per year, relative to Kangchon Kim Kangchon Kim (= 1×) peers Han-hua Fang

Countries citing papers authored by Kangchon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Kangchon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangchon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kangchon Kim. A scholar is included among the top collaborators of Kangchon 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 Kangchon Kim. Kangchon 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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5 of 5 papers shown

1.

Garretson, Tyler A., Jefferson Santos, G. E. Hogan, et al.. (2025). Immune history shapes human antibody responses to H5N1 influenza viruses. Nature Medicine. 31(5). 1454–1458. 10 indexed citations

2.

Kim, Kangchon, Marcos C. Vieira, Sigrid Gouma, et al.. (2024). Measures of Population Immunity Can Predict the Dominant Clade of Influenza A (H3N2) in the 2017–2018 Season and Reveal Age‐Associated Differences in Susceptibility and Antibody‐Binding Specificity. Influenza and Other Respiratory Viruses. 18(11). e70033–e70033. 4 indexed citations

3.

Gouma, Sigrid, Kangchon Kim, Madison E. Weirick, et al.. (2020). Middle-aged individuals may be in a perpetual state of H3N2 influenza virus susceptibility. Nature Communications. 11(1). 4566–4566. 45 indexed citations

4.

Neu, Karlynn E., Jenna J. Guthmiller, Min Huang, et al.. (2018). Spec-seq unveils transcriptional subpopulations of antibody-secreting cells following influenza vaccination. Journal of Clinical Investigation. 129(1). 93–105. 26 indexed citations

5.

Zost, Seth J., Kaela Parkhouse, Megan E. Gumina, et al.. (2017). Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strains. Proceedings of the National Academy of Sciences. 114(47). 12578–12583. 399 indexed citations breakdown →

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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