Joong Su Kim

48 total papers · 1.1k total citations
32 papers, 860 citations indexed

About

Joong Su Kim is a scholar working on Molecular Biology, Hematology and Biotechnology. According to data from OpenAlex, Joong Su Kim has authored 32 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Hematology and 8 papers in Biotechnology. Recurrent topics in Joong Su Kim's work include Multiple Myeloma Research and Treatments (8 papers), Enzyme Production and Characterization (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Joong Su Kim is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Enzyme Production and Characterization (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Joong Su Kim collaborates with scholars based in South Korea, United States and China. Joong Su Kim's co-authors include Siegfried Janz, Liangping Peng, Wan Cheung Cheung, Roberto D. Polakiewicz, Michael A. Linden, Alexander L. Kovalchuk, Herbert C. Morse, Ramesh Prasad Pandey, Sung Sup Park and Jae Kyung Sohng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Joong Su Kim

32 papers receiving 852 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joong Su Kim	529	176	171	164	112	32	860
Michael F. Callaham	684 1.3×	166 0.9×	96 0.6×	128 0.8×	34 0.3×	23	999
Balasubramanian Palaniappan	487 0.9×	99 0.6×	179 1.0×	134 0.8×	49 0.4×	38	850
Stéphane Barrette	388 0.7×	106 0.6×	145 0.8×	132 0.8×	22 0.2×	26	965
Chaoxin Hu	433 0.8×	365 2.1×	98 0.6×	97 0.6×	32 0.3×	18	918
Maria Assunta Bevilacqua	502 0.9×	132 0.8×	115 0.7×	71 0.4×	20 0.2×	30	914
Karin von Schwarzenberg	568 1.1×	134 0.8×	143 0.8×	158 1.0×	66 0.6×	24	885
Nancy Matheson	313 0.6×	117 0.7×	198 1.2×	313 1.9×	34 0.3×	18	1.0k
Mateen A. Khan	593 1.1×	114 0.6×	103 0.6×	77 0.5×	37 0.3×	46	953
Carmen Aanei	483 0.9×	219 1.2×	185 1.1×	151 0.9×	35 0.3×	22	976
Ran Wang	529 1.0×	118 0.7×	30 0.2×	76 0.5×	83 0.7×	35	893

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

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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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