Minsun Hong

1.8k citations
39 papers · 1.4k indexed · h-index 16

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Aquaculture disease management and microbiota
    • Immunotherapy and Immune Responses
    • Antimicrobial Peptides and Activities

Papers in

Minsun Hong

39 papers receiving 1.4k citations

Peers

Minsun Hong
Comparison fields: 5 of 100
  • Immunology 692
  • Microbiology 128
  • Endocrinology 93
  • Molecular Medicine 60
  • Molecular Biology 559
Replace Leon N. Schulte with:
Leon N. Schulte Germany
Marion Dupuis France
J. David Carroll United States
Mei G. Lei United States
Sven Müller‐Loennies Germany
Jay T. Evans United States
Lolke de Haan Netherlands
Irena Adkins Czechia
Bae-Hoon Kim South Korea
Minsun Hong relative to Leon N. Schulte Germany Leon N. Schulte's profile →
Citations per field
00.5×1.7×
Leon N. Schulte · 1×
Citations per year

Countries citing papers authored by Minsun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Minsun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Minsun Hong, 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 Minsun Hong Line = papers co-authored together Minsun Hong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20238
3 20222
4 20216
5 20205
6 20203
7 202042
8 20196
9 201961
10 201819
11 201817
12 201711
13 20163
14 20166
15 20151
16 20143
17 2012445
18 20129
19 201165
20 2005200

About Minsun Hong

Minsun Hong is a scholar working on Biotechnology, Agronomy and Crop Science, Microbiology, Immunology and Genetics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Enzyme Structure and Function (7 papers), Immune Response and Inflammation (7 papers), Reproductive System and Pregnancy (4 papers), Reproductive Physiology in Livestock (4 papers), Antimicrobial Peptides and Activities (3 papers), Bacteriophages and microbial interactions (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Immunology (692 citations), Microbiology (128 citations), Endocrinology (93 citations), Molecular Medicine (60 citations) and Molecular Biology (559 citations). Minsun Hong has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Sung‐il Yoon, Ian A. Wilson, Oleg V. Kurnasov, Andrei V. Gudkov, Andrei L. Osterman, Venkatesh Natarajan, Mayuree Fuangthong, John D. Helmann, Richard G. Brennan and Wan Seok Song. Their work appears in journals such as Biochemical and Biophysical Research Communications, Theriogenology, Scientific Reports, Journal of Virology and Frontiers in Veterinary Science.

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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