Young Chan Kim

1.7k citations
71 papers · 1.0k indexed · h-index 17
Topics
Mosquito-borne diseases and control (22 papers)Viral Infections and Vectors (17 papers)Hormonal and reproductive studies (6 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Young Chan Kim

63 papers receiving 952 citations

Peers

Young Chan Kim
Comparison fields: 5 of 150
  • Infectious Diseases 228
  • Public Health, Environmental and Occupational Health 201
  • Molecular Biology 166
  • Marketing 151
  • Sociology and Political Science 119
Replace Xiaoying Zheng with:
Xiaoying Zheng China
Matthew J. Robinson United Kingdom
Robert M. Rosenbaum United States
David H. Schwartz United States
Lee Hopkins United Kingdom
Debra Kessler United States
Silvia Bellini Italy
Junghoon Lee South Korea
Rita W. Y. Ng Hong Kong
Sophie Tessier Canada
Young Chan Kim relative to Xiaoying Zheng China Xiaoying Zheng's profile →
Citations per field
00.5×1.5×2.1×
Xiaoying Zheng · 1×
Citations per year

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
#WorkIndexed citations
1 0
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4 1
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8 13
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11 13
12 8
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14 7
15 49
16
Cultural Meanings of Consuming American Dramas in the 1970s‘ Korea
2
17 1
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Formation of the Cultural Discourses of ‘Modern Home’ in Women’s Magazines of the 1960’s through the 1970’s
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Rethinking Korean cinema studies
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20 3

About Young Chan Kim

Young Chan Kim is a scholar working on Structural Biology, Infectious Diseases and Cultural Studies, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (22 papers), Viral Infections and Vectors (17 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Structural Biology (33 citations), Marketing (151 citations) and Infectious Diseases (228 citations). Young Chan Kim has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Cele C. Otnes, Tina M. Lowrey, Arturo Reyes‐Sandoval, Bárbara Dema, César López‐Camacho, Alexander W. Tarr, Christopher N. Penfold, Culley C. Carson, Mark G. Davies and Juha T. Huiskonen. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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