Young Tai Kim

630 citations
28 papers · 542 indexed · h-index 16
Topics
Monoclonal and Polyclonal Antibodies Research (12 papers)Protein purification and stability (11 papers)T-cell and B-cell Immunology (5 papers)

In The Last Decade

Young Tai Kim

27 papers receiving 485 citations

Peers

Young Tai Kim
Comparison fields: 5 of 73
  • Molecular Biology 215
  • Immunology 190
  • Radiology, Nuclear Medicine and Imaging 145
  • Genetics 64
  • Physiology 52
Replace H. Götz with:
H. Götz Germany
L Trägårdh Sweden
Maria C. Michaelides United States
Trevor Wilkinson United Kingdom
T J Stoller United States
Cynthia J. TenEyck United States
Tiffany Frey United States
K Albrandt United States
H.G. Opitz Germany
Larry Fliegel Canada
Young Tai Kim relative to H. Götz Germany H. Götz's profile →
Citations per field
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H. Götz · 1×
Citations per year

Countries citing papers authored by Young Tai Kim

Since Specialization
Citations

This map shows the geographic impact of Young Tai 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 Tai 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 Tai Kim more than expected).

Fields of papers citing papers by Young Tai Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Tai Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Tai Kim. A scholar is included among the top collaborators of Young Tai 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 Tai Kim. Young Tai 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 31
2 25
3 2
4 9
5 2
6
Plaque-forming cell response of human blood lymphocytes. III. Cellular basis of the reduced immune response in the elderly.
6
7 16
8 22
9 4
10 6
11 14
12 1
13 3
14 23
15 3
16 15
17
Studies on antigenic competition. 3. Effect on antigenic competition on antibody affinity.
17
18 22
19
Studies on the control of antibody synthesis. 3. Changes in heterogeneity of antibody affinity during the course of the immune response.
115
20 14

About Young Tai Kim

Young Tai Kim is a scholar working on Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 28 papers that have together received 542 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (11 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (190 citations), Radiology, Nuclear Medicine and Imaging (145 citations) and Biochemistry (40 citations). Young Tai Kim has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Gregory W. Siskind, Theodore P. Werblin, G W Siskind, Franco Quagliata, Kwan‐Fu Rex Sheu, Marc E. Weksler, James Mond, James C. K. Lai, R. Schwab and John P. Blass. Their work appears in journals such as The Journal of Immunology, Diabetes 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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