Joong Su Kim

1.1k citations
32 papers · 860 indexed · h-index 17
Topics
Multiple Myeloma Research and Treatments (8 papers)Enzyme Production and Characterization (8 papers)Glycosylation and Glycoproteins Research (6 papers)

In The Last Decade

Joong Su Kim

32 papers receiving 852 citations

Peers

Joong Su Kim
Comparison fields: 5 of 74
  • Molecular Biology 530
  • Oncology 176
  • Hematology 172
  • Immunology 164
  • Biotechnology 112
Replace Maria Assunta Bevilacqua with:
Maria Assunta Bevilacqua Italy
Michael F. Callaham United States
Junji Morimoto Japan
Haijun Zhao China
Shota Moriya Japan
Haruka Shinohara Japan
Sarah K. Baird New Zealand
Jyoti Kanwar India
Dewan Md Sakib Hossain United States
Corina Borghouts Germany
Joong Su Kim relative to Maria Assunta Bevilacqua Italy Maria Assunta Bevilacqua's profile →
Citations per field
00.5×5.3×
Maria Assunta Bevilacqua · 1×
Citations per year

Countries citing papers authored by Joong Su Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joong Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joong Su Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joong Su Kim. A scholar is included among the top collaborators of Joong Su 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 Joong Su Kim. Joong Su 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 10
2 6
3 60
4 26
5 8
6 10
7 8
8 21
9 17
10 19
11 83
12 5
13 9
14 6
15 79
16 7
17 20
18 15
19
Mode of action on EcoRI restriction endonuclease: EcoRI and EcoRI variant N199H have active monomeric forms
2
20 32

About Joong Su Kim

Joong Su Kim is a scholar working on Biotechnology, Hematology and Immunology, having authored 32 papers that have together received 860 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Enzyme Production and Characterization (8 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Hematology (172 citations), Biotechnology (112 citations) and Immunology (164 citations). Joong Su Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Siegfried Janz, Liangping Peng, Wan Cheung Cheung, Roberto D. Polakiewicz, Michael A. Linden, Alexander L. Kovalchuk, Sung Sup Park, Jae Kyung Sohng, Ramesh Prasad Pandey and Herbert C. Morse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

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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