Young Chan Kim

1.7k total citations
71 papers, 1.0k citations indexed

About

Young Chan Kim is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Cultural Studies. According to data from OpenAlex, Young Chan Kim has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 20 papers in Infectious Diseases and 7 papers in Cultural Studies. Recurrent topics in Young Chan Kim's work include Mosquito-borne diseases and control (22 papers), Viral Infections and Vectors (17 papers) and Hormonal and reproductive studies (6 papers). Young Chan Kim is often cited by papers focused on Mosquito-borne diseases and control (22 papers), Viral Infections and Vectors (17 papers) and Hormonal and reproductive studies (6 papers). Young Chan Kim collaborates with scholars based in South Korea, United Kingdom and United States. Young Chan Kim's co-authors include Cele C. Otnes, Tina M. Lowrey, Arturo Reyes‐Sandoval, Bárbara Dema, César López‐Camacho, Alexander W. Tarr, Christopher N. Penfold, Seong Hee Park, Culley C. Carson and Mark G. Davies and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Young Chan Kim

63 papers receiving 952 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young Chan Kim South Korea 17 228 201 166 151 119 71 1.0k
Xiaoying Zheng China 24 111 0.5× 381 1.9× 385 2.3× 179 1.2× 199 1.7× 104 1.8k
Matthew J. Robinson United Kingdom 23 542 2.4× 120 0.6× 888 5.3× 226 1.5× 643 5.4× 62 3.8k
Benedict Michael United Kingdom 26 973 4.3× 339 1.7× 262 1.6× 52 0.3× 150 1.3× 104 2.7k
Sophie Tessier Canada 19 790 3.5× 279 1.4× 258 1.6× 62 0.4× 80 0.7× 40 2.4k
Kevin Ryan United States 20 220 1.0× 205 1.0× 142 0.9× 18 0.1× 101 0.8× 72 1.8k
David H. Schwartz United States 45 1.9k 8.5× 163 0.8× 1.3k 8.1× 30 0.2× 79 0.7× 118 6.6k
Heather Clark United States 18 173 0.8× 113 0.6× 138 0.8× 22 0.1× 134 1.1× 57 1.1k
John C. Parker United States 25 299 1.3× 39 0.2× 189 1.1× 32 0.2× 169 1.4× 55 2.3k
Marc Dupuis Switzerland 22 172 0.8× 143 0.7× 621 3.7× 10 0.1× 160 1.3× 68 2.0k
Dennis A. Bagarozzi United States 20 157 0.7× 108 0.5× 369 2.2× 8 0.1× 190 1.6× 77 1.4k

Countries citing papers authored by Young Chan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young Chan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Chan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Chan Kim. A scholar is included among the top collaborators of Young Chan 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 Young Chan Kim. Young Chan Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Young Chan, et al.. (2025). FAB: FPGA-Accelerated Fully-Pipelined Bottleneck Architecture With Batching for High-Performance MobileNetv2 Inference. IEEE Transactions on Circuits and Systems I Regular Papers. 72(11). 6615–6628.
2.
Lee, Hae In, et al.. (2024). A survey of FPGA and ASIC designs for transformer inference acceleration and optimization. Journal of Systems Architecture. 155. 103247–103247. 2 indexed citations
3.
Kim, Young Chan, et al.. (2024). The use of controlled human infection models to identify correlates of protection for invasive Salmonella vaccines. Frontiers in Immunology. 15. 1457785–1457785. 2 indexed citations
4.
Espinosa, G. P., et al.. (2024). Platelet Reactivity to Zika and Dengue Non‐Structural Protein 1 (NS1) Assessed by Flow Cytometry, Atomic Force Microscopy, and Quartz Crystal Microbalance. International Journal of Laboratory Hematology. 47(2). 246–254. 1 indexed citations
5.
Kim, Young Chan, Yasunori Watanabe, Xiyong Song, et al.. (2024). Immunogenic recombinant Mayaro virus-like particles present natively assembled glycoprotein. npj Vaccines. 9(1). 243–243. 3 indexed citations
6.
7.
Dold, Christina, Laura Silva-Reyes, Luke Blackwell, et al.. (2023). Immunisation with purified Coxiella burnetii phase I lipopolysaccharide confers partial protection in mice independently of co-administered adenovirus vectored vaccines. Vaccine. 41(19). 3047–3057. 4 indexed citations
8.
Kim, Young Chan, et al.. (2021). Platelet activation and aggregation response to dengue virus nonstructural protein 1 and domains. Journal of Thrombosis and Haemostasis. 19(10). 2572–2582. 13 indexed citations
9.
Godói, Lara Carvalho, et al.. (2020). Chikungunya E2 Protein Produced in E. coli and HEK293-T Cells—Comparison of Their Performances in ELISA. Viruses. 12(9). 939–939. 13 indexed citations
10.
López‐Camacho, César, Rodrigo Nunes Rodrigues‐da‐Silva, Paulo Renato Rivas Totino, et al.. (2020). Recombinant Plasmodium vivax circumsporozoite surface protein allelic variants: antibody recognition by individuals from three communities in the Brazilian Amazon. Scientific Reports. 10(1). 14020–14020. 8 indexed citations
11.
12.
Park, Seong Hee, Seong Hee Park, Mi Hye Kim, et al.. (2019). Measurement of low-energy and low-charge ultrashort bunches using an S-band RF deflector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 927. 194–201. 4 indexed citations
13.
14.
Kim, Young Chan. (2011). Cultural Meanings of Consuming American Dramas in the 1970s‘ Korea. Korean Journal of Journalism & Communication Studies. 55(6). 5–29. 2 indexed citations
15.
Rosen, Jonathan, Young Chan Kim, & Jeetain Mittal. (2011). Macromolecular Crowding Effects on Multiprotein Binding Equilibria: Molecular Simulation and Theory. Biophysical Journal. 100(3). 614a–614a. 1 indexed citations
16.
Kim, Young Chan, et al.. (2008). Formation of the Cultural Discourses of ‘Modern Home’ in Women’s Magazines of the 1960’s through the 1970’s. 109–155. 3 indexed citations
17.
Min, Yang Won, et al.. (2007). [A case of benign schwannoma in the ascending colon].. PubMed. 50(6). 398–401. 3 indexed citations
18.
Kim, Young Chan. (2004). Rethinking Korean cinema studies. 12(5). 161–169. 1 indexed citations
19.
Fitzgerald, Robert & Young Chan Kim. (2004). Business Strategy, Government and Globalization: Policy and Miscalculation in the Korean Electronics Industry. Asia Pacific Business Review. 10(3-4). 441–462. 5 indexed citations
20.
Otnes, Cele C., Young Chan Kim, & Tina M. Lowrey. (1992). Ho, Ho, Woe: Christmas Shopping For QDifficultQ People. ACR North American Advances. 1 indexed citations

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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