Yoon Berm Kim

1.1k citations
36 papers · 915 indexed · h-index 15
Topics
Monoclonal and Polyclonal Antibodies Research (13 papers)T-cell and B-cell Immunology (9 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)

In The Last Decade

Yoon Berm Kim

36 papers receiving 780 citations

Peers

Yoon Berm Kim
Comparison fields: 5 of 84
  • Immunology 544
  • Molecular Biology 248
  • Infectious Diseases 163
  • Public Health, Environmental and Occupational Health 90
  • Small Animals 80
Replace Frank L. Adler with:
Frank L. Adler United States
Werner Hirt Germany
Christy S. Barrios United States
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Richard D. Ekstedt United States
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Citations per field
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Citations per year

Countries citing papers authored by Yoon Berm Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Berm Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon Berm Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Berm Kim. A scholar is included among the top collaborators of Yoon Berm 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 Yoon Berm Kim. Yoon Berm 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 5
2 5
3
Endogenous interleukin-18 modulates immune escape of murine melanoma cells by regulating the expression of Fas ligand and reactive oxygen intermediates.
70
4 11
5 30
6 19
7 5
8 5
9 74
10 152
11 4
12
Ontogeny of the immune response. V. Further characterization of 19S gamma-G- and 7S gamma-G-immunoglobulins in the true primary immune response in germfree, colostrum-deprived piglets.
14
13 7
14 9
15 49
16 27
17 46
18 56
19 22
20 98

About Yoon Berm Kim

Yoon Berm Kim is a scholar working on Immunology, Small Animals and Immunology and Allergy, having authored 36 papers that have together received 915 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). The work is most often cited by research in Immunology (544 citations), Microbiology (75 citations) and Small Animals (80 citations). Yoon Berm Kim has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Dennis W. Watson, S. G. Bradley, William G. Wierda, James W. Scheffel, William C. Davis, Alice Gilman‐Sachs, Joan K. Lunney, D. Bernard Amos, Hillel S. Koren and Hyun‐Jeong Park. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.

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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