Mi Lan Kang

1.3k citations
23 papers · 1.0k · h-index 16

Impact in

Papers in

    • Bacterial Infections and Vaccines 4
    • Microbial infections and disease research 4
    • Antimicrobial Peptides and Activities 4
    • RNA Interference and Gene Delivery 3

Mi Lan Kang

23 papers receiving 989 citations

Peers

Mi Lan Kang
Comparison fields: 5 of 90
  • Pharmaceutical Science 221
  • Microbiology 108
  • Rheumatology 212
  • Molecular Medicine 74
  • Biomaterials 144
Replace Keiko Nishimura with:
Keiko Nishimura Japan
Min Lu China
Hee Sam Na South Korea
Brunella Perfetto Italy
Sara Scutera Italy
Shau Ku Huang United States
Anca Roșeanu Romania
P Baehni Switzerland
Monika Bzowska Poland
Limin Shang China
Mi Lan Kang relative to Keiko Nishimura Japan Keiko Nishimura's profile →
Citations per field
00.5×4.7×
Keiko Nishimura · 1×
Citations per year

Countries citing papers authored by Mi Lan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Lan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Lan Kang. 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 Mi Lan Kang. The network helps show where Mi Lan Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014232
2 2008124
3 201398
4 200997
5 200583
6 200753
7 200647
8 200845
9 202038
10 200834
11 200922
12
Chitosan microspheres containing Bordetella bronchiseptica antigens as novel vaccine against atrophic rhinitis in pigs.
200822
13 200822
14 201219
15 201116
16 201016
17 200715
18 201011
19 20097
20 20095

About Mi Lan Kang

Mi Lan Kang is a scholar working on Microbiology, Molecular Biology, Pharmaceutical Science, Ecology and Food Science, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (6 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Infections and Vaccines (4 papers), Microbial infections and disease research (4 papers), Antimicrobial Peptides and Activities (4 papers), Probiotics and Fermented Foods (4 papers), RNA Interference and Gene Delivery (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Pharmaceutical Science (221 citations), Microbiology (108 citations), Rheumatology (212 citations), Molecular Medicine (74 citations) and Biomaterials (144 citations). Mi Lan Kang has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Han Sang Yoo, Gun‐Il Im, Sang Gyun Kang, Ji Eun Kim, Ji‐Yun Ko, Chong Su Cho, Deog Yong Lee, Hu‐Lin Jiang, Nabin Rayamajhi and Chong‐Su Cho. Their work appears in journals such as Journal of Veterinary Science, Biomaterials, Journal of Veterinary Diagnostic Investigation, Biotechnology Advances and Archives of Virology.

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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