Seil Kim

4.0k total citations · 1 hit paper
64 papers, 3.2k citations indexed

About

Seil Kim is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Seil Kim has authored 64 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Ecology and 12 papers in Infectious Diseases. Recurrent topics in Seil Kim's work include Genomics and Phylogenetic Studies (14 papers), Microbial Community Ecology and Physiology (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Seil Kim is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Microbial Community Ecology and Physiology (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Seil Kim collaborates with scholars based in South Korea, United States and Yemen. Seil Kim's co-authors include Jongsik Chun, Byung Kwon Kim, Young‐Woon Lim, Myung‐Jin Kim, Jae‐Hak Lee, Byoung‐In Sang, Youngsoon Um, Byoung Seung Jeon, Hyunook Kim and Hee Min Yoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

Seil Kim

57 papers receiving 3.2k citations

Hit Papers

EzTaxon: a web-based tool for the identification of proka... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seil Kim South Korea 21 2.0k 975 526 448 317 64 3.2k
Cliff Han United States 34 2.1k 1.1× 1.0k 1.1× 520 1.0× 783 1.7× 203 0.6× 103 3.9k
Anja Poehlein Germany 37 2.3k 1.2× 1.2k 1.2× 885 1.7× 563 1.3× 235 0.7× 264 4.6k
Rob Egan United States 11 2.8k 1.4× 2.2k 2.2× 468 0.9× 470 1.0× 399 1.3× 17 4.6k
David Bruce United States 30 1.3k 0.6× 656 0.7× 323 0.6× 267 0.6× 186 0.6× 88 2.8k
Anke Henne Germany 23 2.2k 1.1× 828 0.8× 292 0.6× 485 1.1× 268 0.8× 26 3.4k
Chaitanya G. Joshi India 33 2.0k 1.0× 444 0.5× 549 1.0× 464 1.0× 759 2.4× 374 5.1k
Axel Strittmatter Germany 19 1.7k 0.9× 731 0.7× 411 0.8× 782 1.7× 332 1.0× 24 3.2k
Rafael Szczepanowski Germany 33 1.7k 0.9× 877 0.9× 534 1.0× 361 0.8× 344 1.1× 50 4.2k
Yogesh S. Shouche India 29 979 0.5× 353 0.4× 550 1.0× 271 0.6× 123 0.4× 102 2.7k
Takuichi Sato Japan 23 954 0.5× 591 0.6× 272 0.5× 425 0.9× 313 1.0× 67 3.2k

Countries citing papers authored by Seil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seil Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seil Kim. A scholar is included among the top collaborators of Seil 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 Seil Kim. Seil 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
1.
Park, Minkyu, Ibrar Ahmed, Nazish Badar, et al.. (2025). Nanopore sequencing reveals the genomic diversity of the variants of concern of SARS-CoV-2 during 2021 disease outbreak in Pakistan. Scientific Reports. 15(1). 28129–28129.
2.
Shin, Dong‐Hoon, et al.. (2023). Universal primers for rift valley fever virus whole-genome sequencing. Scientific Reports. 13(1). 18688–18688.
3.
Kim, Seil, et al.. (2023). Development of Human Rhinovirus RNA Reference Material Using Digital PCR. Genes. 14(12). 2210–2210.
4.
Choi, Sang‐Ho, et al.. (2023). Comparison of RT-qPCR and RT-ddPCR with Rift valley fever virus (RVFV) RNA. Scientific Reports. 13(1). 3085–3085. 5 indexed citations
5.
Park, Edmond Changkyun, et al.. (2022). Rapid and sensitive amplicon-based genome sequencing of SARS-CoV-2. Frontiers in Microbiology. 13. 876085–876085. 3 indexed citations
7.
Kim, Seung Bum, et al.. (2021). Comparison of 16S rRNA Gene Based Microbial Profiling Using Five Next-Generation Sequencers and Various Primers. Frontiers in Microbiology. 12. 715500–715500. 29 indexed citations
8.
Lee, Sang‐Soo, et al.. (2021). Development of SARS-CoV-2 packaged RNA reference material for nucleic acid testing. Analytical and Bioanalytical Chemistry. 414(5). 1773–1785. 15 indexed citations
9.
Lee, Jina, Jooeun Lee, Seil Kim, Dukjin Kang, & Hee Min Yoo. (2020). Evaluating Cell Death Using Cell-Free Supernatant of Probiotics in Three-Dimensional Spheroid Cultures of Colorectal Cancer Cells. Journal of Visualized Experiments. 13 indexed citations
10.
Gong, Gyeongtaek, Hyun Ju Oh, Sukhyeong Cho, et al.. (2019). Complete Genome Sequence of Paenibacillus sp. CAA11: A Promising Microbial Host for Lignocellulosic Biorefinery with Consolidated Processing. Current Microbiology. 76(6). 732–737. 1 indexed citations
11.
Jun, Sangmi, et al.. (2018). Complete Genome of Bacillus subtilis subsp. subtilis KCTC 3135T and Variation in Cell Wall Genes of B. subtilis Strains. Journal of Microbiology and Biotechnology. 28(10). 1760–1765. 3 indexed citations
12.
Gong, Gyeongtaek, Seil Kim, Sun‐Mi Lee, et al.. (2017). Complete genome sequence of Bacillus sp. 275, producing extracellular cellulolytic, xylanolytic and ligninolytic enzymes. Journal of Biotechnology. 254. 59–62. 26 indexed citations
13.
14.
Joo, Jeong Chan, et al.. (2014). Higher thermostability of l-lactate dehydrogenases is a key factor in decreasing the optical purity of d-lactic acid produced from Lactobacillus coryniformis. Enzyme and Microbial Technology. 58-59. 29–35. 18 indexed citations
15.
Min, Kyoungseon, Seil Kim, Taewoo Yum, et al.. (2013). Conversion of levulinic acid to 2-butanone by acetoacetate decarboxylase from Clostridium acetobutylicum. Applied Microbiology and Biotechnology. 97(12). 5627–5634. 30 indexed citations
16.
Kim, Byung-Chun, et al.. (2013). Comparison of the Bacterial Communities in Anaerobic, Anoxic, and Oxic Chambers of a Pilot A2O Process Using Pyrosequencing Analysis. Current Microbiology. 66(6). 555–565. 64 indexed citations
17.
Oh, Hyun‐Suk, Sang-Ryoung Kim, Kibaek Lee, et al.. (2012). Microbial population dynamics and proteomics in membrane bioreactors with enzymatic quorum quenching. Applied Microbiology and Biotechnology. 97(10). 4665–4675. 54 indexed citations
18.
Kim, Seil, et al.. (2011). The Influence of Self Efficacy, Emotional Labor, and Social Support on Job Center Workers' Psychological Burnout. Korean Society for the Study of Vocational Education. 30(4). 129–141. 2 indexed citations
19.
Ahn, Dae‐Gyun, Seil Kim, Jin‐Kyu Rhee, et al.. (2006). TTSV1, a new virus-like particle isolated from the hyperthermophilic crenarchaeote Thermoproteus tenax. Virology. 351(2). 280–290. 30 indexed citations
20.
Kim, Seil, et al.. (2002). Relationship between sensitization to citrus red mite (Panonychus citri) and the prevalence of atopic diseases in adolescents living near citrus orchards. Clinical & Experimental Allergy. 32(7). 1054–1058. 20 indexed citations

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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