Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Nanoparticles anchored strategy to develop 2D MoS2 and MoSe2 based room temperature chemiresistive gas sensors
202480 citationsAli Mirzaei, Tae–Un Kim et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tae–Un 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 Tae–Un Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae–Un Kim more than expected).
This network shows the impact of papers produced by Tae–Un 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 Tae–Un Kim. The network helps show where Tae–Un Kim may publish in the future.
Co-authorship network of co-authors of Tae–Un Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae–Un Kim.
A scholar is included among the top collaborators of Tae–Un 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 Tae–Un Kim. Tae–Un Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Chanho, et al.. (2008). Changes of immunological markers in elite and amateur triathletes : original research article. International sportmed journal for FIMS. 9(3). 116–130.7 indexed citations
12.
Kim, Tae–Un, et al.. (2007). Changes in Coagulase Serotype of Staphylococcus aureus Isolates in Busan, 1994-2005. Korean Journal of Microbiology. 43(4). 346–350.7 indexed citations
13.
Kim, Tae–Un, et al.. (2007). gyrA and gyrB Mutations in Quinolone-resistant Strains of Enterobacteriaceae Isolated from General Hospitals in Busan. 대한의생명과학회지. 13(2). 141–148.2 indexed citations
14.
Kim, Jong-Won & Tae–Un Kim. (2005). The Effect of Warm up types on Concentric and Eccentric Muscular Force Recovery. The Korean Journal of Physical Education. 44(1). 231–242.
15.
Kim, Tae–Un, et al.. (2004). Fatness and estimate of percent body fat corresponding to the body mass index percentile cutoff value on middle school girls. The Korean Journal of Physical Education. 43(2). 463–472.1 indexed citations
16.
Kim, Hee‐Yun, et al.. (2003). Physicochemical Properties of Yellow Pigments in Domestic and Imported Yellow Croakers and Their Changes During Distribution and Storage. Korean Journal of Food Science and Technology. 35(5). 803–811.2 indexed citations
17.
Kim, Tae–Un, et al.. (2003). Coagulase Serotyping and Antibiotic Susceptibility of Staphylococcus aureus Isolated from the Specimen of Elementary School Students. 35(2). 105–111.1 indexed citations
18.
Kim, Tae–Un, et al.. (2002). Hematological Aspects in A Endotoxemic Young Rabbit Model. 대한의생명과학회지. 8(3). 115–125.1 indexed citations
19.
Park, Young‐Tae, et al.. (2000). Isolation of Marine Bacteria Killing Red Tide Microalgae -IV. Characteristics of Algicidal Substances, Produced from Micrococcus sp. LG-5 and the Effects on Marine Organisms-. Korean Journal of Fisheries and Aquatic Sciences. 33(4). 339–347.3 indexed citations
20.
Kim, Tae–Un, et al.. (2000). Alterations in Blood Electrolyte of Rabbits with Experimental Injection of Escherichia coli Endotoxin. 대한의생명과학회지. 6(2). 159–164.
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.