Si Won Kim

541 citations
30 papers · 425 · h-index 12

Impact in

Papers in

    • Aquaculture disease management and microbiota 12
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • interferon and immune responses 4
    • Viral Infectious Diseases and Gene Expression in Insects 3

Si Won Kim

30 papers receiving 420 citations

Peers

Si Won Kim
Comparison fields: 5 of 74
  • Microbiology 128
  • Molecular Medicine 60
  • Immunology 156
  • Endocrinology 29
  • Applied Microbiology and Biotechnology 7
Replace Jassy Mary S. Lazarte with:
Jassy Mary S. Lazarte South Korea
Jaesung Kim South Korea
О. А. Чернова Russia
Alexey A. Mouzykantov Russia
Natalia Bagińska Poland
Andrei Trostel United States
Deog Yong Lee South Korea
Nicole Aulik United States
Rafael Lucas Muniz Guedes Brazil
Takane Kikuchi‐Ueda Japan
Si Won Kim relative to Jassy Mary S. Lazarte South Korea Jassy Mary S. Lazarte's profile →
Citations per field
00.5×1.5×
Jassy Mary S. Lazarte · 1×
Citations per year

Countries citing papers authored by Si Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Si Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Si Won Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Si Won Kim Line = papers co-authored together Si Won Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 202049
3 202044
4 202225
5 201722
6 201719
7 202018
8 201515
9 202115
10 201513
11 201812
12 201911
13 201810
14 20199
15 20168
16 20188
17 20158
18 20217
19 20177
20 20185

About Si Won Kim

Si Won Kim is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Epidemiology and Microbiology, having authored 30 papers that have together received 425 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Bacterial Infections and Vaccines (4 papers), interferon and immune responses (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Animal Virus Infections Studies (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Microbiology (128 citations), Molecular Medicine (60 citations), Immunology (156 citations), Endocrinology (29 citations) and Applied Microbiology and Biotechnology (7 citations). Si Won Kim has collaborated with scholars based in South Korea, United Kingdom and Australia. Frequent co-authors include Tae Sung Jung, Jassy Mary S. Lazarte, Jaesung Kim, Jae Wook Jung, Jung‐Seok Lee, Young Rim Kim, Seong Bin Park, Kim D. Thompson, Jong-Hwan Kim and Jong‐Su Seo. Their work appears in journals such as Fish & Shellfish Immunology, Scientific Reports, International Journal of Molecular Sciences, Molecular Immunology and Vaccines.

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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